Industrial Engineering Bachelor of Science Degree
Industrial Engineering
Bachelor of Science Degree
An industrial engineering degree designed to optimize, design, and manage the operational and manufacturing processes by which goods are made and distributed.
Overview
- Four required blocks of co-op mean nearly a year of hands-on, full-time paid work experience in industry.
- Companies hiring our students for co-ops include Addison Precision Manufacturing, Bendix, GE Aviation, General Motors, GlobalFoundries, Intel, L3Harris, Penske Truck Leasing, Precision Castparts Corp., U.S. Postal Service, Volvo, and Wegmans, to name a few.
The industrial engineering degree is for students interested in optimizing, designing, and managing the processes by which goods are made and distributed. Industrial engineering also ensures that high-quality products and services are delivered in a cost-effective manner. Industrial engineers aid companies globally, balancing sustainable design with skillful construction of systems. Graduates of the industrial engineering degree are able to address big-picture design and engineering questions, such as how engineers can simultaneously increase efficiency and quality.
What is Industrial Engineering?
Industrial engineers design, optimize, and manage the process by which products are made and distributed across the world (i.e., global supply chain), or the way services are delivered in industries such as banking, health care, energy, or entertainment. Industrial engineers ensure that high-quality products and services are delivered in a cost-effective manner.
Industrial engineering is ideal for those who enjoy both technology and working with people. Industrial engineers frequently spend as much time interacting with other engineers and product users as they do at their desks and computers. Typical work involves developing applied models and simulations of processes to evaluate overall system efficiency.
A degree in industrial engineering offers students a significant opportunity for a flexible long-term career. Employers have consistently praised the quality of RIT's industrial engineering graduates, noting that the range of their abilities includes both strong technical knowledge and communication skills. Graduates have used their technical base as a springboard to careers in management, consulting, manufacturing, sales, health care, law, and education.
As described by the Institute of Industrial and Systems Engineers on the organization's website:
"Industrial engineering is about choices. Other engineering disciplines apply skills to very specific areas. IE gives practitioners the opportunity to work in a variety of businesses.
Many practitioners say that industrial engineering education offers the best of both worlds: an education in both engineering and business.
The most distinctive aspect of industrial engineering is the flexibility it offers. Whether it's shortening a roller coaster line, streamlining an operating room, distributing products worldwide, or manufacturing superior automobiles, these challenges share the common goal of saving companies money and increasing efficiencies.
As companies adopt management philosophies of continuous productivity and quality improvement to survive in the increasingly competitive world market, the need for industrial engineers is growing. Why? Industrial engineers are the only engineering professionals trained specifically to be productivity and quality improvement specialists.
Industrial engineers figure out how to do things better. They engineer processes and systems that improve quality and productivity. They work to eliminate waste of time, money, materials, energy and other commodities. This is why many industrial engineers end up being promoted into management positions.
Many people are misled by the term industrial engineer. It's not just about manufacturing. It also encompasses service industries, with many IEs employed in entertainment industries, shipping and logistics businesses, and health care organizations."
Industrial engineers are "big-picture" thinkers, much like systems integrators. IEs spend most of their time out in the work environment, using scientific approaches to solve today's problems while they develop solutions for the future.
Industrial Engineering Curriculum
Because of the flexible nature of the industrial engineering degree, students gain a breadth of knowledge in many different areas of industrial engineering, including advanced manufacturing, distribution/logistics, ergonomics/human factors, modeling/simulation, and sustainable design and development. Students may choose free and professional electives for this purpose.
The curriculum for the BS in industrial engineering covers the principal concepts of engineering economics and project management, facilities planning, human performance, mathematical and simulation modeling, production control, applied statistics and quality, and contemporary manufacturing production processes that are applied to solve the challenges presented by the global environment and economy of today. Courses in industrial engineering stress the application of contemporary tools and techniques in solving engineering problems.
Educational Objectives
With rapidly changing work environments, students need a well-rounded education that will allow them to apply engineering principles to new situations. With this in mind, the department of industrial and systems engineering has established the following educational objectives for the industrial engineering major:
Systems integrators—Graduates will draw upon broad knowledge to develop integrated systems-based engineering solutions that include the consideration of realistic constraints within contemporary global, societal, and organizational contexts.
Lifelong learners—Graduates will develop engineering solutions using the skills and knowledge acquired through formal education and training, independent inquiry, and professional development.
Graduate education—Graduates will be well-prepared to pursue graduate degrees.
Engineering professionals—Graduates will work independently as well as collaboratively with others and demonstrate leadership, accountability, initiative, and ethical and social responsibility.
Industrial Engineering Careers
In order to optimize processes and systems, industrial engineers apply their knowledge in a wide range of areas, including systems simulation modeling, quality, logistics and supply chain management, ergonomics and human factors, facilities layout, production planning and control, manufacturing, management information systems, and project management. Upon graduation, our students work for a wide array of fields (ranging from manufacturing and distribution/logistics to health care, energy and other services) and companies (including Boeing, IBM, Toyota, Xerox, Intel, General Electric, Hershey, Walt Disney World, Ortho-McNeil Pharmaceutical, Lockheed Martin, and Wegmans Food Markets, to name a few.)
Balance, as well as specialization, has allowed our graduates to pursue varied paths. Examples of the diversity, along with the roles in which an industrial engineer might function, are reflected in the following list of sample industrial engineering co-op assignments.
In manufacturing industries:
- Perform product life studies
- Lay out and improve work areas
- Design production processes to improve productivity
- Investigate and analyze the cost of purchasing new vs. repairing existing equipment
- Investigate delivery service, including scheduling, route modification, and material handling
- Create computer programs to track pricing policies and truck scheduling
- Perform downtime studies of various operations using time study and work sampling
- Develop and computerize a forecasting model
- Perform ergonomic studies and evaluations of workstations and product designs
- Participate in the design process of products and processes to ensure ease of manufacture, maintenance, and remanufacture or recycling
In service industries:
- Design information systems
- Monitor safety and health programs
- Manage hazardous and toxic materials storage and disposal programs
- Manage a facility's projects to ensure they are completed on time and on budget
- Conduct cost analysis of procedures to support decision making
- Schedule operations and manage information flow
- Design supply-ordering systems
- Improve processes in a hospital
- Evaluate waiting time and space utilization in an amusement park
Engineering vs. Engineering Technology
Two dynamic areas of study, both with outstanding outcomes rates. Which do you choose?
What’s the difference between engineering and engineering technology? It’s a question we’re asked all the time. While there are subtle differences in the course work between the two, choosing a major in engineering vs. engineering technology is more about identifying what you like to do and how you like to do it.
Combined Accelerated Pathways
This program has an accelerated bachelor’s/master’s available, one of RIT's Combined Accelerated Pathways, which enables you to earn two degrees in as little as five years.
Accelerated 4+1 MBA
An accelerated 4+1 MBA option is available to students enrolled in any of RIT’s undergraduate programs. RIT’s Combined Accelerated Pathways can help you prepare for your future faster by enabling you to earn both a bachelor’s and an MBA in as little as five years of study.
Act Sooner. Know Earlier.
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Careers and Cooperative Education
Typical Job Titles
| Continuous Improvement Engineer | Industrial Engineer |
| Lean & Quality Leadership Development Associate | Manufacturing Engineer |
| Operations Leadership Development Associate | Process Engineer |
| Project Manager | Quality Engineer |
| Safety Specialist/Engineer | Technology Energy Analyst |
| Reliability Engineer | Sustainability Engineer |
| Materials Planner | Production Planner |
| Logistics Planner | Human Factors Engineer |
| Ergonomics Engineer | Project Engineer |
| Operations Manager | Systems Engineer |
Salary and Career Information for Industrial Engineering BS
Cooperative Education
What’s different about RIT’s engineering education? It’s the opportunity to complete engineering co-ops and internships with top companies in every single industry. You’ll earn more than a degree. You’ll gain real-world career experience that sets you apart.
Cooperative education, or co-op for short, is full-time, paid work experience in your field of study. And it sets RIT graduates apart from their competitors. It’s exposure–early and often–to a variety of professional work environments, career paths, and industries. RIT co-op is designed for your success.
Students in the industrial engineering degree are required to complete four blocks (48 weeks) of cooperative education experience.
Curriculum for Industrial Engineering BS
Industrial Engineering, BS degree, typical course sequence
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| CHMG-131 | General Education – Elective: General Chemistry for Engineers This rigorous course is primarily for, but not limited to, engineering students. Topics include an introduction to some basic concepts in chemistry, stoichiometry, First Law of Thermodynamics, thermochemistry, electronic theory of composition and structure, and chemical bonding. The lecture is supported by workshop-style problem sessions. Offered in traditional and online format. Lecture 2, Recitation 1 (Fall, Spring). |
3 |
| ISEE-120 | Fundamentals of Industrial Engineering This course introduces students to industrial engineering and provides students with foundational tools used in the profession. The course is intended to prepare students for their first co-op experience in industrial engineering by exposing them to tools and concepts that are often encountered during early co-op assignments. The course covers specific tools and their applications, including systems design and the integration. The course uses a combination of lecture and laboratory activities. Projects and group exercises will be used to cover hands-on applications and problem-solving related to topics covered in lectures. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-140 | Materials Processing A study of the application of machine tools and fabrication processes to engineering materials in the manufacture of products. Processes covered include cutting, molding, casting, forming, powder metallurgy, solid modeling, engineering drawing, and welding. Students make a project in the lab portion of the course. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lab 1, Lecture 3 (Fall). |
3 |
| MATH-181 | General Education – Mathematical Perspective A: Project-Based Calculus I This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). |
4 |
| MATH-182 | General Education – Mathematical Perspective B: Project-Based Calculus II This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C- or better in (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). |
4 |
| PHYS-211 | General Education – Scientific Principles Perspective: University Physics I This is a course in calculus-based physics for science and engineering majors. Topics include kinematics, planar motion, Newton's Laws, gravitation, work and energy, momentum and impulse, conservation laws, systems of particles, rotational motion, static equilibrium, mechanical oscillations and waves, and data presentation/analysis. The course is taught in a workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: C- or better in MATH-181 or equivalent course. Co-requisites: MATH-182 or equivalent course.) Lec/Lab 6 (Fall, Spring). |
4 |
| YOPS-010 | RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring). |
0 |
General Education – First-Year Writing (WI) |
3 | |
General Education – Ethical Perspective |
3 | |
General Education – Artistic Perspective |
3 | |
General Education – Elective |
3 | |
| Second Year | ||
| ISEE-200 | General Education – Elective: Computing for Engineers A first course in computational problem solving for engineers. Students will learn the theory necessary to develop algorithms to solve computational problems in the engineering disciplines. Topics include: program design and implementation, integrated development environment, mathematical operations, file input/output, data manipulations, functions, and arrays. Course also covers an introduction to implementing object-oriented programming and graphical user interface. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Spring). |
3 |
| ISEE-325 | Engineering Statistics and Design of Experiments This course covers statistics for use in engineering as well as the primary concepts of experimental design. The first portion of the course will cover: Point estimation; hypothesis testing and confidence intervals; one- and two-sample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate real-world science and engineering examples, including studies found in the literature. (Prerequisites: STAT-251 or MATH-251 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-345 | Engineering Economy Time value of money, methods of comparing alternatives, depreciation and depletion, income tax consideration and capital budgeting. Cannot be used as a professional elective for ISE majors. Course provides a foundation for engineers to effectively analyze engineering projects with respect to financial considerations. Lecture 3 (Fall, Spring). |
3 |
| MATH-221 | General Education – Elective: Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vector-valued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH-219. (Prerequisite: C- or better MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). |
4 |
| MATH-233 | General Education – Elective: Linear Systems and Differential Equations This is an introductory course in linear algebra and ordinary differential equations in which a scientific computing package is used to clarify mathematical concepts, visualize problems, and work with large systems. The course covers matrix algebra, the basic notions and techniques of ordinary differential equations with constant coefficients, and the physical situation in which they arise. (Prerequisites: MATH-172 or MATH-182 or MATH-182A and students in CHEM-BS or CHEM-BS/MS or ISEE-BS programs.) Lecture 4 (Spring). |
4 |
| MATH-251 | General Education – Elective: Probability and Statistics I This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). |
3 |
| MECE-200 | Fundamentals of Mechanics Statics: equilibrium, the principle of transmissibility of forces, couples, centroids, trusses and friction. Introduction to strength of materials: axial stresses and strains, statically indeterminate problems, torsion and bending. Dynamics: dynamics of particles and rigid bodies with an introduction to kinematics and kinetics of particles and rigid bodies, work, energy, impulse momentum and mechanical vibrations. Emphasis is on problem solving. For students majoring in industrial and systems engineering. (Prerequisites: PHYS-211 or PHYS-211A or 1017-312 or 1017-312T or 1017-389 or PHYS-206 and PHYS-207 or equivalent course.and restricted to students in ISEE-BS or ISEEDU-BS programs.) Lecture 4 (Spring). |
4 |
| PHYS-212 | General Education – Natural Science Inquiry Perspective: University Physics II This course is a continuation of PHYS-211, University Physics I. Topics include electrostatics, Gauss' law, electric field and potential, capacitance, resistance, DC circuits, magnetic field, Ampere's law, inductance, and geometrical and physical optics. The course is taught in a lecture/workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: (PHYS-211 or PHYS-211A or PHYS-206 or PHYS-216) or (MECE-102, MECE-103 and MECE-205) and (MATH-182 or MATH-172 or MATH-182A) or equivalent courses. Grades of C- or better are required in all prerequisite courses.) Lec/Lab 6 (Fall, Spring). |
4 |
General Education – Global Perspective |
3 | |
General Education – Social Perspective |
3 | |
| Third Year | ||
| ISEE-301 | Operations Research An introduction to optimization through mathematical programming and stochastic modeling techniques. Course topics include linear programming, transportation and assignment algorithms, Markov Chain queuing and their application on problems in manufacturing, health care, financial systems, supply chain, and other engineering disciplines. Special attention is placed on sensitivity analysis and the need of optimization in decision-making. The course is delivered through lectures and a weekly laboratory where students learn to use state-of-the-art software packages for modeling large discrete optimization problems. (Prerequisites: MATH-233 or (MATH-231 and MATH-241) or equivalent course.) Lab 2, Lecture 3 (Fall, Spring). |
4 |
| ISEE-304 | Fundamentals of Materials Science This course provides the student with an overview of structure, properties, and processing of metals, polymers, ceramics and composites. There is a particular emphasis on understanding of materials and the relative impact on manufacturing optimization throughput and quality as it relates to Industrial Engineering. This course is delivered through lectures and a weekly laboratory. (This course is restricted to ISEE-BS Major students.) Lab 2, Lecture 2 (Spring). |
3 |
| ISEE-323 | Systems and Facilities Planning A basic course in quantitative models on layout, material handling, and warehousing. Topics include product/process analysis, flow of materials, material handling systems, warehousing and layout design. A computer-aided layout design package is used. (Corequisites: ISEE-301 or equivalent course.) Lab 2, Lecture 2 (Spring). |
3 |
| ISEE-330 | Ergonomics and Human Factors (WI-PR) This course covers the physical and cognitive aspects of human performance to enable students to design work places, procedures, products and processes that are consistent with human capabilities and limitations. Principles of physical work and human anthropometry are studied to enable the student to systematically design work places, processes, and systems that are consistent with human capabilities and limitations. In addition, the human information processing capabilities are studied, which includes the human sensory, memory, attention and cognitive processes; display and control design principles; as well as human computer interface design. (Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 4 (Spring). |
4 |
| ISEE-350 | Engineering Management Development of the fundamental engineering management principles of industrial enterprise, including an introduction to project management. Emphasis is on project management and the development of the project management plan. At least one term of previous co-op experience is required. (Prerequisite: BIME-499 or MECE-499 or ISEE-499 or CHME-499 or EEEE-499 or CMPE-499 or MCEE-499 or equivalent course.) Lecture 3 (Spring). |
3 |
| ISEE-499 | Co-op (fall and summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| Fourth Year | ||
| ISEE-420 | Production Planning/Scheduling A first course in mathematical modeling of production-inventory systems. Topics included: Inventory; Deterministic Models, Inventory: Stochastic Models, Push v. Pull Production Control Systems, Factory Physics, and Operations Scheduling. Modern aspects such as lean manufacturing are included in the context of the course. (Prerequisites: ISEE-301 and (STAT-251 or MATH-251) or equivalent course.) Lecture 3 (Fall). |
3 |
| ISEE-499 | Co-op (spring and summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| ISEE-510 | Systems Simulation Computer-based simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A high-level simulation language such as Simio, ARENA, etc., will be used to model systems and examine system performance. Model validation, design of simulation experiments, and random number generation will be introduced. (Prerequisites: ISEE-200 and ISEE-301 or equivalent course.
Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-560 | Applied Statistical Quality Control An applied approach to statistical quality control utilizing theoretical tools acquired in other math and statistics courses. Heavy emphasis on understanding and applying statistical analysis methods in real-world quality control situations in engineering. Topics include process capability analysis, acceptance sampling, hypothesis testing and control charts. Contemporary topics such as six-sigma are included within the context of the course. (Prerequisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course and students in ISEE-BS or ISEE-MN or ENGMGT-MN programs.) Lecture 3 (Fall). |
3 |
Professional Elective |
3 | |
General Education – Immersion |
3 | |
| Fifth Year | ||
| ISEE-497 | Multidisciplinary Senior Design I This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-323 and ISEE-330 or equivalent course.
Co-requisites: ISEE-350 and ISEE-420 and ISEE-510 and ISEE-560 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-498 | Multidisciplinary Senior Design II This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-497 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-561 | Linear Regression Analysis In any system where parameters of interest change, it may be of interest to examine the effects that some variables exert (or appear to exert) on others. "Regression analysis" actually describes a variety of data analysis techniques that can be used to describe the interrelationships among such variables. In this course we will examine in detail the use of one popular analytic technique: least squares linear regression. Cases illustrating the use of regression techniques in engineering applications will be developed and analyzed throughout the course. (Prerequisites: (MATH-233 or (MATH-231 and MATH-241)) and (ISEE-325 or STAT-252 or MATH-252) or equivalent courses and students in ISEE-BS programs.) Lecture 3 (Fall). |
3 |
Professional Electives |
6 | |
Open Electives |
9 | |
General Education – Immersion 2, 3 |
6 | |
| Total Semester Credit Hours | 129 |
|
Please see General Education Curriculum (GE) for more information.
(WI-PR) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
Accelerated Dual-Degree Programs
Today’s careers require advanced degrees grounded in real-world experience. RIT’s Combined Accelerated Pathways enable you to earn both a bachelor’s and a master’s degree in as little as five years of study. You’ll earn two degrees while gaining the valuable, hands-on experience that comes from co-ops, internships, research, study abroad, and more. Learn how a Combined Accelerated Pathway can prepare you for your future, faster.
Industrial Engineering, BS degree/Industrial and Systems Engineering, MS degree, typical course sequence
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| CHMG-131 | General Education – Elective: General Chemistry for Engineers This rigorous course is primarily for, but not limited to, engineering students. Topics include an introduction to some basic concepts in chemistry, stoichiometry, First Law of Thermodynamics, thermochemistry, electronic theory of composition and structure, and chemical bonding. The lecture is supported by workshop-style problem sessions. Offered in traditional and online format. Lecture 2, Recitation 1 (Fall, Spring). |
3 |
| ISEE-120 | Fundamentals of Industrial Engineering This course introduces students to industrial engineering and provides students with foundational tools used in the profession. The course is intended to prepare students for their first co-op experience in industrial engineering by exposing them to tools and concepts that are often encountered during early co-op assignments. The course covers specific tools and their applications, including systems design and the integration. The course uses a combination of lecture and laboratory activities. Projects and group exercises will be used to cover hands-on applications and problem-solving related to topics covered in lectures. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-140 | Materials Processing A study of the application of machine tools and fabrication processes to engineering materials in the manufacture of products. Processes covered include cutting, molding, casting, forming, powder metallurgy, solid modeling, engineering drawing, and welding. Students make a project in the lab portion of the course. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lab 1, Lecture 3 (Fall). |
3 |
| MATH-181 | General Education – Mathematical Perspective A: Project-Based Calculus I This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). |
4 |
| MATH-182 | General Education – Mathematical Perspective B: Project-Based Calculus II This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C- or better in (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). |
4 |
| PHYS-211 | General Education – Scientific Principles Perspective: University Physics I This is a course in calculus-based physics for science and engineering majors. Topics include kinematics, planar motion, Newton's Laws, gravitation, work and energy, momentum and impulse, conservation laws, systems of particles, rotational motion, static equilibrium, mechanical oscillations and waves, and data presentation/analysis. The course is taught in a workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: C- or better in MATH-181 or equivalent course. Co-requisites: MATH-182 or equivalent course.) Lec/Lab 6 (Fall, Spring). |
4 |
| YOPS-010 | RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring). |
0 |
General Education – First-Year Writing (WI) |
3 | |
General Education – Artistic Perspective |
3 | |
General Education – Ethical Perspective |
3 | |
General Education – Elective |
3 | |
| Second Year | ||
| EGEN-99 | Engineering Co-op Preparation This course will prepare students, who are entering their second year of study, for both the job search and employment in the field of engineering. Students will learn strategies for conducting a successful job search, including the preparation of resumes and cover letters; behavioral interviewing techniques and effective use of social media in the application process. Professional and ethical responsibilities during the job search and for co-op and subsequent professional experiences will be discussed. (This course is restricted to students in Kate Gleason College of Engineering with at least 2nd year standing.) Lecture 1 (Fall, Spring). |
0 |
| ISEE-200 | General Education – Elective: Computing for Engineers A first course in computational problem solving for engineers. Students will learn the theory necessary to develop algorithms to solve computational problems in the engineering disciplines. Topics include: program design and implementation, integrated development environment, mathematical operations, file input/output, data manipulations, functions, and arrays. Course also covers an introduction to implementing object-oriented programming and graphical user interface. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Spring). |
3 |
| ISEE-325 | Engineering Statistics and Design of Experiments This course covers statistics for use in engineering as well as the primary concepts of experimental design. The first portion of the course will cover: Point estimation; hypothesis testing and confidence intervals; one- and two-sample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate real-world science and engineering examples, including studies found in the literature. (Prerequisites: STAT-251 or MATH-251 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-345 | Engineering Economy Time value of money, methods of comparing alternatives, depreciation and depletion, income tax consideration and capital budgeting. Cannot be used as a professional elective for ISE majors. Course provides a foundation for engineers to effectively analyze engineering projects with respect to financial considerations. Lecture 3 (Fall, Spring). |
3 |
| ISEE-499 | Co-op (summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| MATH-221 | General Education – Elective: Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vector-valued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH-219. (Prerequisite: C- or better MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). |
4 |
| MATH-233 | General Education – Elective: Linear Systems and Differential Equations This is an introductory course in linear algebra and ordinary differential equations in which a scientific computing package is used to clarify mathematical concepts, visualize problems, and work with large systems. The course covers matrix algebra, the basic notions and techniques of ordinary differential equations with constant coefficients, and the physical situation in which they arise. (Prerequisites: MATH-172 or MATH-182 or MATH-182A and students in CHEM-BS or CHEM-BS/MS or ISEE-BS programs.) Lecture 4 (Spring). |
4 |
| MATH-251 | General Education – Elective: Probability and Statistics I This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). |
3 |
| MECE-200 | Fundamentals of Mechanics Statics: equilibrium, the principle of transmissibility of forces, couples, centroids, trusses and friction. Introduction to strength of materials: axial stresses and strains, statically indeterminate problems, torsion and bending. Dynamics: dynamics of particles and rigid bodies with an introduction to kinematics and kinetics of particles and rigid bodies, work, energy, impulse momentum and mechanical vibrations. Emphasis is on problem solving. For students majoring in industrial and systems engineering. (Prerequisites: PHYS-211 or PHYS-211A or 1017-312 or 1017-312T or 1017-389 or PHYS-206 and PHYS-207 or equivalent course.and restricted to students in ISEE-BS or ISEEDU-BS programs.) Lecture 4 (Spring). |
4 |
| PHYS-212 | General Education – Natural Science Inquiry Perspective: University Physics II This course is a continuation of PHYS-211, University Physics I. Topics include electrostatics, Gauss' law, electric field and potential, capacitance, resistance, DC circuits, magnetic field, Ampere's law, inductance, and geometrical and physical optics. The course is taught in a lecture/workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: (PHYS-211 or PHYS-211A or PHYS-206 or PHYS-216) or (MECE-102, MECE-103 and MECE-205) and (MATH-182 or MATH-172 or MATH-182A) or equivalent courses. Grades of C- or better are required in all prerequisite courses.) Lec/Lab 6 (Fall, Spring). |
4 |
General Education – Global Perspective |
3 | |
General Education – Social Perspective |
3 | |
| Third Year | ||
| ISEE-301 | Operations Research An introduction to optimization through mathematical programming and stochastic modeling techniques. Course topics include linear programming, transportation and assignment algorithms, Markov Chain queuing and their application on problems in manufacturing, health care, financial systems, supply chain, and other engineering disciplines. Special attention is placed on sensitivity analysis and the need of optimization in decision-making. The course is delivered through lectures and a weekly laboratory where students learn to use state-of-the-art software packages for modeling large discrete optimization problems. (Prerequisites: MATH-233 or (MATH-231 and MATH-241) or equivalent course.) Lab 2, Lecture 3 (Fall, Spring). |
4 |
| ISEE-304 | Fundamentals of Materials Science This course provides the student with an overview of structure, properties, and processing of metals, polymers, ceramics and composites. There is a particular emphasis on understanding of materials and the relative impact on manufacturing optimization throughput and quality as it relates to Industrial Engineering. This course is delivered through lectures and a weekly laboratory. (This course is restricted to ISEE-BS Major students.) Lab 2, Lecture 2 (Spring). |
3 |
| ISEE-323 | Systems and Facilities Planning A basic course in quantitative models on layout, material handling, and warehousing. Topics include product/process analysis, flow of materials, material handling systems, warehousing and layout design. A computer-aided layout design package is used. (Corequisites: ISEE-301 or equivalent course.) Lab 2, Lecture 2 (Spring). |
3 |
| ISEE-330 | Ergonomics and Human Factors (WI-PR) This course covers the physical and cognitive aspects of human performance to enable students to design work places, procedures, products and processes that are consistent with human capabilities and limitations. Principles of physical work and human anthropometry are studied to enable the student to systematically design work places, processes, and systems that are consistent with human capabilities and limitations. In addition, the human information processing capabilities are studied, which includes the human sensory, memory, attention and cognitive processes; display and control design principles; as well as human computer interface design. (Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 4 (Spring). |
4 |
| ISEE-350 | Engineering Management Development of the fundamental engineering management principles of industrial enterprise, including an introduction to project management. Emphasis is on project management and the development of the project management plan. At least one term of previous co-op experience is required. (Prerequisite: BIME-499 or MECE-499 or ISEE-499 or CHME-499 or EEEE-499 or CMPE-499 or MCEE-499 or equivalent course.) Lecture 3 (Spring). |
3 |
| ISEE-499 | Co-op (fall, summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| Fourth Year | ||
| ISEE-420 | Production Planning/Scheduling A first course in mathematical modeling of production-inventory systems. Topics included: Inventory; Deterministic Models, Inventory: Stochastic Models, Push v. Pull Production Control Systems, Factory Physics, and Operations Scheduling. Modern aspects such as lean manufacturing are included in the context of the course. (Prerequisites: ISEE-301 and (STAT-251 or MATH-251) or equivalent course.) Lecture 3 (Fall). |
3 |
| ISEE-499 | Co-op (summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| ISEE-510 | Systems Simulation Computer-based simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A high-level simulation language such as Simio, ARENA, etc., will be used to model systems and examine system performance. Model validation, design of simulation experiments, and random number generation will be introduced. (Prerequisites: ISEE-200 and ISEE-301 or equivalent course.
Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-560 | Applied Statistical Quality Control An applied approach to statistical quality control utilizing theoretical tools acquired in other math and statistics courses. Heavy emphasis on understanding and applying statistical analysis methods in real-world quality control situations in engineering. Topics include process capability analysis, acceptance sampling, hypothesis testing and control charts. Contemporary topics such as six-sigma are included within the context of the course. (Prerequisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course and students in ISEE-BS or ISEE-MN or ENGMGT-MN programs.) Lecture 3 (Fall). |
3 |
| ISEE-760 | Design of Experiments This course presents an in-depth study of the primary concepts of experimental design. Its applied approach uses theoretical tools acquired in other mathematics and statistics courses. Emphasis is placed on the role of replication and randomization in experimentation. Numerous designs and design strategies are reviewed and implications on data analysis are discussed. Topics include: consideration of type 1 and type 2 errors in experimentation, sample size determination, completely randomized designs, randomized complete block designs, blocking and confounding in experiments, Latin square and Graeco Latin square designs, general factorial designs, the 2k factorial design system, the 3k factorial design system, fractional factorial designs, Taguchi experimentation. (Prerequisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course or students in ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME or ENGMGT-ME programs.) Lecture 3 (Spring). |
3 |
| ISEE-795 | Graduate Seminar (fall and spring) This class introduces students to state of the art research and research methods in industrial, systems, and sustainable engineering. Presentations include off campus speakers and students/faculty presentations on current research under way in the department. (This course is restricted to students in ISEE-MS, SUSTAIN-MS or ISEE BS/MS.) Seminar 1 (Fall, Spring). |
0 |
Professional Electives |
9 | |
Open Electives |
9 | |
General Education – Immersion 1, 2 |
6 | |
| Fifth Year | ||
| ISEE-497 | Multidisciplinary Senior Design I This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-323 and ISEE-330 or equivalent course.
Co-requisites: ISEE-350 and ISEE-420 and ISEE-510 and ISEE-560 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-498 | Multidisciplinary Senior Design II This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-497 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-561 | Linear Regression Analysis In any system where parameters of interest change, it may be of interest to examine the effects that some variables exert (or appear to exert) on others. "Regression analysis" actually describes a variety of data analysis techniques that can be used to describe the interrelationships among such variables. In this course we will examine in detail the use of one popular analytic technique: least squares linear regression. Cases illustrating the use of regression techniques in engineering applications will be developed and analyzed throughout the course. (Prerequisites: (MATH-233 or (MATH-231 and MATH-241)) and (ISEE-325 or STAT-252 or MATH-252) or equivalent courses and students in ISEE-BS programs.) Lecture 3 (Fall). |
3 |
| ISEE-771 | Engineering of Systems I The engineering of a system is focused on the identification of value and the value chain, requirements management and engineering, understanding the limitations of current systems, the development of the overall concept, and continually improving the robustness of the defined solution. EOS I & II is a 2-semester course sequence focused on the creation of systems that generate value for both the customer and the enterprise. Through systematic analysis and synthesis methods, novel solutions to problems are proposed and selected. This first course in the sequence focuses on the definition of the system requirements by systematic analysis of the existing problems, issues and solutions, to create an improved vision for a new system. Based on this new vision, new high-level solutions will be identified and selected for (hypothetical) further development. The focus is to learn systems engineering through a focus on an actual artifact (This course is restricted to students in the ISEE BS/MS, ISEE BS/ME, ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME, PRODEV-MS, MFLEAD-MS or ENGMGT-ME programs or those with 5th year standing in ISEE-BS or ISEEDU-BS.) Lecture 3 (Fall, Spring). |
3 |
| Choose one of the following: | 6 |
|
| ISEE-788 | Project with Paper plus 1 additional Graduate Elective This course is used by students as a capstone experience. The student must demonstrate an acquired competence in a topic that is chosen in conference with a faculty advisor. The work may involve a research and/or design project with demonstration of acquired knowledge. A written paper and an oral presentation of the work are required. Project 3 (Fall, Spring, Summer). |
|
| ISEE-790 | Thesis In conference with a faculty adviser, an independent engineering project or research problem is selected. The work may be of a theoretical and/or computational nature. A state-of-the-art literature search in the area is normally expected. A formal written thesis and an oral defense with a faculty thesis committee are required. Submission of bound copies of the thesis to the library and to the department and preparation of a written paper in a short format suitable for submission for publication in a refereed journal are also required. Approval of department head and faculty adviser needed to enroll. (Enrollment in this course requires permission from the department offering the course.) Thesis (Fall, Spring, Summer). |
|
| ISEE-792 | Engineering Capstone plus 1 additional Graduate Elective For the Master of Engineering programs in Industrial and Systems Engineering, Engineering Management, and Sustainable Engineering. Students must investigate a discipline-related topic in a field related to industrial and systems engineering, engineering management, or sustainable engineering. The general intent of the engineering capstone is to demonstrate the students' knowledge of the integrative aspects of a particular area. The capstone should draw upon skills and knowledge acquired in the program. (This course is restricted to students in ISEE-ME, ENGMGT-ME, SUSTAIN-ME or the ISEE BS/ME programs.) Lecture 3 (Fall, Spring). |
|
Graduate Electives |
9 | |
General Education – Immersion 3 |
3 | |
| Total Semester Credit Hours | 150 |
|
Please see General Education Curriculum (GE) for more information.
(WI-PR) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
Industrial Engineering, BS degree/Sustainable Engineering, MS degree, typical course sequence
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| CHMG-131 | General Education – Elective: General Chemistry for Engineers This rigorous course is primarily for, but not limited to, engineering students. Topics include an introduction to some basic concepts in chemistry, stoichiometry, First Law of Thermodynamics, thermochemistry, electronic theory of composition and structure, and chemical bonding. The lecture is supported by workshop-style problem sessions. Offered in traditional and online format. Lecture 2, Recitation 1 (Fall, Spring). |
3 |
| ISEE-120 | Fundamentals of Industrial Engineering This course introduces students to industrial engineering and provides students with foundational tools used in the profession. The course is intended to prepare students for their first co-op experience in industrial engineering by exposing them to tools and concepts that are often encountered during early co-op assignments. The course covers specific tools and their applications, including systems design and the integration. The course uses a combination of lecture and laboratory activities. Projects and group exercises will be used to cover hands-on applications and problem-solving related to topics covered in lectures. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-140 | Materials Processing A study of the application of machine tools and fabrication processes to engineering materials in the manufacture of products. Processes covered include cutting, molding, casting, forming, powder metallurgy, solid modeling, engineering drawing, and welding. Students make a project in the lab portion of the course. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lab 1, Lecture 3 (Fall). |
3 |
| MATH-181 | General Education – Mathematical Perspective A: Project-Based Calculus I This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). |
4 |
| MATH-182 | General Education – Mathematical Perspective B: Project-Based Calculus II This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C- or better in (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). |
4 |
| PHYS-211 | General Education – Scientific Principles Perspective: University Physics I This is a course in calculus-based physics for science and engineering majors. Topics include kinematics, planar motion, Newton's Laws, gravitation, work and energy, momentum and impulse, conservation laws, systems of particles, rotational motion, static equilibrium, mechanical oscillations and waves, and data presentation/analysis. The course is taught in a workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: C- or better in MATH-181 or equivalent course. Co-requisites: MATH-182 or equivalent course.) Lec/Lab 6 (Fall, Spring). |
4 |
| YOPS-10 | RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring). |
0 |
General Education – First-Year Writing (WI) |
3 | |
General Education – Artistic Perspective |
3 | |
General Education – Ethical Perspective |
3 | |
General Education – Elective |
3 | |
| Second Year | ||
| EGEN-99 | Engineering Co-op Preparation This course will prepare students, who are entering their second year of study, for both the job search and employment in the field of engineering. Students will learn strategies for conducting a successful job search, including the preparation of resumes and cover letters; behavioral interviewing techniques and effective use of social media in the application process. Professional and ethical responsibilities during the job search and for co-op and subsequent professional experiences will be discussed. (This course is restricted to students in Kate Gleason College of Engineering with at least 2nd year standing.) Lecture 1 (Fall, Spring). |
0 |
| ISEE-200 | General Education – Elective: Computing for Engineers A first course in computational problem solving for engineers. Students will learn the theory necessary to develop algorithms to solve computational problems in the engineering disciplines. Topics include: program design and implementation, integrated development environment, mathematical operations, file input/output, data manipulations, functions, and arrays. Course also covers an introduction to implementing object-oriented programming and graphical user interface. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Spring). |
3 |
| ISEE-325 | Engineering Statistics and Design of Experiments This course covers statistics for use in engineering as well as the primary concepts of experimental design. The first portion of the course will cover: Point estimation; hypothesis testing and confidence intervals; one- and two-sample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate real-world science and engineering examples, including studies found in the literature. (Prerequisites: STAT-251 or MATH-251 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-345 | Engineering Economy Time value of money, methods of comparing alternatives, depreciation and depletion, income tax consideration and capital budgeting. Cannot be used as a professional elective for ISE majors. Course provides a foundation for engineers to effectively analyze engineering projects with respect to financial considerations. Lecture 3 (Fall, Spring). |
3 |
| ISEE-499 | Co-op (summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| MATH-221 | General Education – Elective: Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vector-valued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH-219. (Prerequisite: C- or better MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). |
4 |
| MATH-233 | General Education – Elective: Linear Systems and Differential Equations This is an introductory course in linear algebra and ordinary differential equations in which a scientific computing package is used to clarify mathematical concepts, visualize problems, and work with large systems. The course covers matrix algebra, the basic notions and techniques of ordinary differential equations with constant coefficients, and the physical situation in which they arise. (Prerequisites: MATH-172 or MATH-182 or MATH-182A and students in CHEM-BS or CHEM-BS/MS or ISEE-BS programs.) Lecture 4 (Spring). |
4 |
| MATH-251 | General Education – Elective: Probability and Statistics I This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). |
3 |
| MECE-200 | Fundamentals of Mechanics Statics: equilibrium, the principle of transmissibility of forces, couples, centroids, trusses and friction. Introduction to strength of materials: axial stresses and strains, statically indeterminate problems, torsion and bending. Dynamics: dynamics of particles and rigid bodies with an introduction to kinematics and kinetics of particles and rigid bodies, work, energy, impulse momentum and mechanical vibrations. Emphasis is on problem solving. For students majoring in industrial and systems engineering. (Prerequisites: PHYS-211 or PHYS-211A or 1017-312 or 1017-312T or 1017-389 or PHYS-206 and PHYS-207 or equivalent course.and restricted to students in ISEE-BS or ISEEDU-BS programs.) Lecture 4 (Spring). |
4 |
| PHYS-212 | General Education – Natural Science Inquiry Perspective: University Physics II This course is a continuation of PHYS-211, University Physics I. Topics include electrostatics, Gauss' law, electric field and potential, capacitance, resistance, DC circuits, magnetic field, Ampere's law, inductance, and geometrical and physical optics. The course is taught in a lecture/workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: (PHYS-211 or PHYS-211A or PHYS-206 or PHYS-216) or (MECE-102, MECE-103 and MECE-205) and (MATH-182 or MATH-172 or MATH-182A) or equivalent courses. Grades of C- or better are required in all prerequisite courses.) Lec/Lab 6 (Fall, Spring). |
4 |
General Education – Global Perspective |
3 | |
General Education – Social Perspective |
3 | |
| Third Year | ||
| ISEE-301 | Operations Research An introduction to optimization through mathematical programming and stochastic modeling techniques. Course topics include linear programming, transportation and assignment algorithms, Markov Chain queuing and their application on problems in manufacturing, health care, financial systems, supply chain, and other engineering disciplines. Special attention is placed on sensitivity analysis and the need of optimization in decision-making. The course is delivered through lectures and a weekly laboratory where students learn to use state-of-the-art software packages for modeling large discrete optimization problems. (Prerequisites: MATH-233 or (MATH-231 and MATH-241) or equivalent course.) Lab 2, Lecture 3 (Fall, Spring). |
4 |
| ISEE-304 | Fundamentals of Materials Science This course provides the student with an overview of structure, properties, and processing of metals, polymers, ceramics and composites. There is a particular emphasis on understanding of materials and the relative impact on manufacturing optimization throughput and quality as it relates to Industrial Engineering. This course is delivered through lectures and a weekly laboratory. (This course is restricted to ISEE-BS Major students.) Lab 2, Lecture 2 (Spring). |
3 |
| ISEE-323 | Systems and Facilities Planning A basic course in quantitative models on layout, material handling, and warehousing. Topics include product/process analysis, flow of materials, material handling systems, warehousing and layout design. A computer-aided layout design package is used. (Corequisites: ISEE-301 or equivalent course.) Lab 2, Lecture 2 (Spring). |
3 |
| ISEE-330 | Ergonomics and Human Factors (WI-PR) This course covers the physical and cognitive aspects of human performance to enable students to design work places, procedures, products and processes that are consistent with human capabilities and limitations. Principles of physical work and human anthropometry are studied to enable the student to systematically design work places, processes, and systems that are consistent with human capabilities and limitations. In addition, the human information processing capabilities are studied, which includes the human sensory, memory, attention and cognitive processes; display and control design principles; as well as human computer interface design. (Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 4 (Spring). |
4 |
| ISEE-350 | Engineering Management Development of the fundamental engineering management principles of industrial enterprise, including an introduction to project management. Emphasis is on project management and the development of the project management plan. At least one term of previous co-op experience is required. (Prerequisite: BIME-499 or MECE-499 or ISEE-499 or CHME-499 or EEEE-499 or CMPE-499 or MCEE-499 or equivalent course.) Lecture 3 (Spring). |
3 |
| ISEE-499 | Co-op Education (fall, summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| Fourth Year | ||
| ISEE-420 | Production Planning/Scheduling A first course in mathematical modeling of production-inventory systems. Topics included: Inventory; Deterministic Models, Inventory: Stochastic Models, Push v. Pull Production Control Systems, Factory Physics, and Operations Scheduling. Modern aspects such as lean manufacturing are included in the context of the course. (Prerequisites: ISEE-301 and (STAT-251 or MATH-251) or equivalent course.) Lecture 3 (Fall). |
3 |
| ISEE-499 | Co-op (summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| ISEE-510 | Systems Simulation Computer-based simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A high-level simulation language such as Simio, ARENA, etc., will be used to model systems and examine system performance. Model validation, design of simulation experiments, and random number generation will be introduced. (Prerequisites: ISEE-200 and ISEE-301 or equivalent course.
Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-560 | Applied Statistical Quality Control An applied approach to statistical quality control utilizing theoretical tools acquired in other math and statistics courses. Heavy emphasis on understanding and applying statistical analysis methods in real-world quality control situations in engineering. Topics include process capability analysis, acceptance sampling, hypothesis testing and control charts. Contemporary topics such as six-sigma are included within the context of the course. (Prerequisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course and students in ISEE-BS or ISEE-MN or ENGMGT-MN programs.) Lecture 3 (Fall). |
3 |
| ISEE-795 | Graduate Seminar (fall and spring) This class introduces students to state of the art research and research methods in industrial, systems, and sustainable engineering. Presentations include off campus speakers and students/faculty presentations on current research under way in the department. (This course is restricted to students in ISEE-MS, SUSTAIN-MS or ISEE BS/MS.) Seminar 1 (Fall, Spring). |
0 |
Professional Electives |
6 | |
Open Electives |
9 | |
Technology Elective |
3 | |
Social Context Elective |
3 | |
General Education – Immersion 1, 2 |
6 | |
| Fifth Year | ||
| ISEE-497 | Multidisciplinary Senior Design I This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-323 and ISEE-330 or equivalent course.
Co-requisites: ISEE-350 and ISEE-420 and ISEE-510 and ISEE-560 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-498 | Multidisciplinary Senior Design II This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-497 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-561 | Linear Regression Analysis In any system where parameters of interest change, it may be of interest to examine the effects that some variables exert (or appear to exert) on others. "Regression analysis" actually describes a variety of data analysis techniques that can be used to describe the interrelationships among such variables. In this course we will examine in detail the use of one popular analytic technique: least squares linear regression. Cases illustrating the use of regression techniques in engineering applications will be developed and analyzed throughout the course. (Prerequisites: (MATH-233 or (MATH-231 and MATH-241)) and (ISEE-325 or STAT-252 or MATH-252) or equivalent courses and students in ISEE-BS programs.) Lecture 3 (Fall). |
3 |
| ISEE-771 | Engineering of Systems I The engineering of a system is focused on the identification of value and the value chain, requirements management and engineering, understanding the limitations of current systems, the development of the overall concept, and continually improving the robustness of the defined solution. EOS I & II is a 2-semester course sequence focused on the creation of systems that generate value for both the customer and the enterprise. Through systematic analysis and synthesis methods, novel solutions to problems are proposed and selected. This first course in the sequence focuses on the definition of the system requirements by systematic analysis of the existing problems, issues and solutions, to create an improved vision for a new system. Based on this new vision, new high-level solutions will be identified and selected for (hypothetical) further development. The focus is to learn systems engineering through a focus on an actual artifact (This course is restricted to students in the ISEE BS/MS, ISEE BS/ME, ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME, PRODEV-MS, MFLEAD-MS or ENGMGT-ME programs or those with 5th year standing in ISEE-BS or ISEEDU-BS.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-785 | Fundamentals of Sustainable Engineering This is a high level survey course that reviews the product lifecycle from various perspectives and highlights the leverage over material, process, and environmental impacts available at the design phase. Tools and strategies for reducing the environmental impacts associated with the sourcing, manufacture, use, and retirement of products will be reviewed and evaluated. (This course is restricted to students in ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME, ENGMGT-ME, MECE-MS, MECE-ME, SUSPRD-MN or those with at least 4th year standing in ISEE-BS or ISEEDU-BS.) Lecture 3 (Fall). |
3 |
| ISEE-786 | Lifecycle Assessment This course introduces students to the challenges posed when trying to determine the total lifecycle impacts associated with a product or a process design. Various costing models and their inherent assumptions will be reviewed and critiqued. The inability of traditional costing models to account for important environmental and social externalities will be highlighted. The Lifecycle Assessment approach for quantifying environmental and social externalities will be reviewed and specific LCA techniques (Streamlined Lifecycle Assessment, SimaPro) will be covered. (This course is restricted to students in ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME, ENGMGT-ME, MECE-MS, MECE-ME, SUSPRD-MN or those with at least 4th year standing in ISEE-BS or ISEEDU-BS.) Lecture 3 (Spring). |
3 |
| Choose one of the following: | 6 |
|
| ISEE-788 | Project with Paper plus 1 additional Professional Elective This course is used by students as a capstone experience. The student must demonstrate an acquired competence in a topic that is chosen in conference with a faculty advisor. The work may involve a research and/or design project with demonstration of acquired knowledge. A written paper and an oral presentation of the work are required. Project 3 (Fall, Spring, Summer). |
|
| ISEE-790 | Thesis In conference with a faculty adviser, an independent engineering project or research problem is selected. The work may be of a theoretical and/or computational nature. A state-of-the-art literature search in the area is normally expected. A formal written thesis and an oral defense with a faculty thesis committee are required. Submission of bound copies of the thesis to the library and to the department and preparation of a written paper in a short format suitable for submission for publication in a refereed journal are also required. Approval of department head and faculty adviser needed to enroll. (Enrollment in this course requires permission from the department offering the course.) Thesis (Fall, Spring, Summer). |
|
| ISEE-792 | Engineering Capstone plus 1 additional Professional Elective For the Master of Engineering programs in Industrial and Systems Engineering, Engineering Management, and Sustainable Engineering. Students must investigate a discipline-related topic in a field related to industrial and systems engineering, engineering management, or sustainable engineering. The general intent of the engineering capstone is to demonstrate the students' knowledge of the integrative aspects of a particular area. The capstone should draw upon skills and knowledge acquired in the program. (This course is restricted to students in ISEE-ME, ENGMGT-ME, SUSTAIN-ME or the ISEE BS/ME programs.) Lecture 3 (Fall, Spring). |
|
| MECE-629 | Renewable Energy Systems This course provides an overview of renewable energy system design. Energy resource assessment, system components, and feasibility analysis will be covered. Possible topics to be covered include photovoltaics, wind turbines, solar thermal, hydropower, biomass, and geothermal. Students will be responsible for a final design project. (Prerequisites: MECE-310 or equivalent course or graduate standing in MECE-MS or MECE-ME or SUSTAIN-MS or SUSTAIN-ME.) Lecture 3 (Fall). |
3 |
General Education – Immersion 3 |
3 | |
| Total Semester Credit Hours | 150 |
|
Please see General Education Curriculum (GE) for more information.
(WI-PR) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
Industrial Engineering, BS degree/Engineering Management, ME degree, typical course sequence
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| CHMG-131 | General Education – Elective: General Chemistry for Engineers This rigorous course is primarily for, but not limited to, engineering students. Topics include an introduction to some basic concepts in chemistry, stoichiometry, First Law of Thermodynamics, thermochemistry, electronic theory of composition and structure, and chemical bonding. The lecture is supported by workshop-style problem sessions. Offered in traditional and online format. Lecture 2, Recitation 1 (Fall, Spring). |
3 |
| ISEE-120 | Fundamentals of Industrial Engineering This course introduces students to industrial engineering and provides students with foundational tools used in the profession. The course is intended to prepare students for their first co-op experience in industrial engineering by exposing them to tools and concepts that are often encountered during early co-op assignments. The course covers specific tools and their applications, including systems design and the integration. The course uses a combination of lecture and laboratory activities. Projects and group exercises will be used to cover hands-on applications and problem-solving related to topics covered in lectures. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-140 | Materials Processing A study of the application of machine tools and fabrication processes to engineering materials in the manufacture of products. Processes covered include cutting, molding, casting, forming, powder metallurgy, solid modeling, engineering drawing, and welding. Students make a project in the lab portion of the course. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lab 1, Lecture 3 (Fall). |
3 |
| MATH-181 | General Education – Mathematical Perspective A: Project-Based Calculus I This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). |
4 |
| MATH-182 | General Education – Mathematical Perspective B: Project-Based Calculus II This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C- or better in (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). |
4 |
| PHYS-211 | General Education – Scientific Principles Perspective: University Physics I This is a course in calculus-based physics for science and engineering majors. Topics include kinematics, planar motion, Newton's Laws, gravitation, work and energy, momentum and impulse, conservation laws, systems of particles, rotational motion, static equilibrium, mechanical oscillations and waves, and data presentation/analysis. The course is taught in a workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: C- or better in MATH-181 or equivalent course. Co-requisites: MATH-182 or equivalent course.) Lec/Lab 6 (Fall, Spring). |
4 |
| YOPS-010 | RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring). |
0 |
General Education – First Year Writing (WI) |
3 | |
General Education – Artistic Perspective |
3 | |
General Education – Ethical Perspective |
3 | |
General Education – Elective |
3 | |
| Second Year | ||
| EGEN-99 | Engineering Co-op Preparation This course will prepare students, who are entering their second year of study, for both the job search and employment in the field of engineering. Students will learn strategies for conducting a successful job search, including the preparation of resumes and cover letters; behavioral interviewing techniques and effective use of social media in the application process. Professional and ethical responsibilities during the job search and for co-op and subsequent professional experiences will be discussed. (This course is restricted to students in Kate Gleason College of Engineering with at least 2nd year standing.) Lecture 1 (Fall, Spring). |
0 |
| ISEE-200 | General Education – Elective: Computing for Engineers A first course in computational problem solving for engineers. Students will learn the theory necessary to develop algorithms to solve computational problems in the engineering disciplines. Topics include: program design and implementation, integrated development environment, mathematical operations, file input/output, data manipulations, functions, and arrays. Course also covers an introduction to implementing object-oriented programming and graphical user interface. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Spring). |
3 |
| ISEE-325 | Engineering Statistics and Design of Experiments This course covers statistics for use in engineering as well as the primary concepts of experimental design. The first portion of the course will cover: Point estimation; hypothesis testing and confidence intervals; one- and two-sample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate real-world science and engineering examples, including studies found in the literature. (Prerequisites: STAT-251 or MATH-251 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-345 | Engineering Economy Time value of money, methods of comparing alternatives, depreciation and depletion, income tax consideration and capital budgeting. Cannot be used as a professional elective for ISE majors. Course provides a foundation for engineers to effectively analyze engineering projects with respect to financial considerations. Lecture 3 (Fall, Spring). |
3 |
| ISEE-499 | Co-op (summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| MATH-221 | General Education – Elective: Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vector-valued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH-219. (Prerequisite: C- or better MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). |
4 |
| MATH-233 | General Education – Elective: Linear Systems and Differential Equations This is an introductory course in linear algebra and ordinary differential equations in which a scientific computing package is used to clarify mathematical concepts, visualize problems, and work with large systems. The course covers matrix algebra, the basic notions and techniques of ordinary differential equations with constant coefficients, and the physical situation in which they arise. (Prerequisites: MATH-172 or MATH-182 or MATH-182A and students in CHEM-BS or CHEM-BS/MS or ISEE-BS programs.) Lecture 4 (Spring). |
4 |
| MATH-251 | General Education – Elective: Probability and Statistics I This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). |
3 |
| MECE-200 | Fundamentals of Mechanics Statics: equilibrium, the principle of transmissibility of forces, couples, centroids, trusses and friction. Introduction to strength of materials: axial stresses and strains, statically indeterminate problems, torsion and bending. Dynamics: dynamics of particles and rigid bodies with an introduction to kinematics and kinetics of particles and rigid bodies, work, energy, impulse momentum and mechanical vibrations. Emphasis is on problem solving. For students majoring in industrial and systems engineering. (Prerequisites: PHYS-211 or PHYS-211A or 1017-312 or 1017-312T or 1017-389 or PHYS-206 and PHYS-207 or equivalent course.and restricted to students in ISEE-BS or ISEEDU-BS programs.) Lecture 4 (Spring). |
4 |
| PHYS-212 | General Education – Natural Science Inquiry Perspective: University Physics II This course is a continuation of PHYS-211, University Physics I. Topics include electrostatics, Gauss' law, electric field and potential, capacitance, resistance, DC circuits, magnetic field, Ampere's law, inductance, and geometrical and physical optics. The course is taught in a lecture/workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: (PHYS-211 or PHYS-211A or PHYS-206 or PHYS-216) or (MECE-102, MECE-103 and MECE-205) and (MATH-182 or MATH-172 or MATH-182A) or equivalent courses. Grades of C- or better are required in all prerequisite courses.) Lec/Lab 6 (Fall, Spring). |
4 |
General Education – Global Perspective |
3 | |
General Education – Social Perspective |
3 | |
| Third Year | ||
| ISEE-301 | Operations Research An introduction to optimization through mathematical programming and stochastic modeling techniques. Course topics include linear programming, transportation and assignment algorithms, Markov Chain queuing and their application on problems in manufacturing, health care, financial systems, supply chain, and other engineering disciplines. Special attention is placed on sensitivity analysis and the need of optimization in decision-making. The course is delivered through lectures and a weekly laboratory where students learn to use state-of-the-art software packages for modeling large discrete optimization problems. (Prerequisites: MATH-233 or (MATH-231 and MATH-241) or equivalent course.) Lab 2, Lecture 3 (Fall, Spring). |
4 |
| ISEE-304 | Fundamentals of Materials Science This course provides the student with an overview of structure, properties, and processing of metals, polymers, ceramics and composites. There is a particular emphasis on understanding of materials and the relative impact on manufacturing optimization throughput and quality as it relates to Industrial Engineering. This course is delivered through lectures and a weekly laboratory. (This course is restricted to ISEE-BS Major students.) Lab 2, Lecture 2 (Spring). |
3 |
| ISEE-323 | Systems and Facilities Planning A basic course in quantitative models on layout, material handling, and warehousing. Topics include product/process analysis, flow of materials, material handling systems, warehousing and layout design. A computer-aided layout design package is used. (Corequisites: ISEE-301 or equivalent course.) Lab 2, Lecture 2 (Spring). |
3 |
| ISEE-330 | Ergonomics and Human Factors (WI-PR) This course covers the physical and cognitive aspects of human performance to enable students to design work places, procedures, products and processes that are consistent with human capabilities and limitations. Principles of physical work and human anthropometry are studied to enable the student to systematically design work places, processes, and systems that are consistent with human capabilities and limitations. In addition, the human information processing capabilities are studied, which includes the human sensory, memory, attention and cognitive processes; display and control design principles; as well as human computer interface design. (Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 4 (Spring). |
4 |
| ISEE-350 | Engineering Management Development of the fundamental engineering management principles of industrial enterprise, including an introduction to project management. Emphasis is on project management and the development of the project management plan. At least one term of previous co-op experience is required. (Prerequisite: BIME-499 or MECE-499 or ISEE-499 or CHME-499 or EEEE-499 or CMPE-499 or MCEE-499 or equivalent course.) Lecture 3 (Spring). |
3 |
| ISEE-499 | Co-op (fall, summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| Fourth Year | ||
| ISEE-420 | Production Planning/Scheduling A first course in mathematical modeling of production-inventory systems. Topics included: Inventory; Deterministic Models, Inventory: Stochastic Models, Push v. Pull Production Control Systems, Factory Physics, and Operations Scheduling. Modern aspects such as lean manufacturing are included in the context of the course. (Prerequisites: ISEE-301 and (STAT-251 or MATH-251) or equivalent course.) Lecture 3 (Fall). |
3 |
| ISEE-499 | Co-op (summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| ISEE-510 | Systems Simulation Computer-based simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A high-level simulation language such as Simio, ARENA, etc., will be used to model systems and examine system performance. Model validation, design of simulation experiments, and random number generation will be introduced. (Prerequisites: ISEE-200 and ISEE-301 or equivalent course.
Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-560 | Applied Statistical Quality Control An applied approach to statistical quality control utilizing theoretical tools acquired in other math and statistics courses. Heavy emphasis on understanding and applying statistical analysis methods in real-world quality control situations in engineering. Topics include process capability analysis, acceptance sampling, hypothesis testing and control charts. Contemporary topics such as six-sigma are included within the context of the course. (Prerequisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course and students in ISEE-BS or ISEE-MN or ENGMGT-MN programs.) Lecture 3 (Fall). |
3 |
| ISEE-760 | Design of Experiments This course presents an in-depth study of the primary concepts of experimental design. Its applied approach uses theoretical tools acquired in other mathematics and statistics courses. Emphasis is placed on the role of replication and randomization in experimentation. Numerous designs and design strategies are reviewed and implications on data analysis are discussed. Topics include: consideration of type 1 and type 2 errors in experimentation, sample size determination, completely randomized designs, randomized complete block designs, blocking and confounding in experiments, Latin square and Graeco Latin square designs, general factorial designs, the 2k factorial design system, the 3k factorial design system, fractional factorial designs, Taguchi experimentation. (Prerequisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course or students in ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME or ENGMGT-ME programs.) Lecture 3 (Spring). |
3 |
Professional Electives |
6 | |
Open Electives |
9 | |
Professional Elective/Engineering Management Elective |
3 | |
General Education – Immersion 1, 2 |
6 | |
| Fifth Year | ||
| ACCT-794 | Cost Management in Technical Organizations A first course in accounting for students in technical disciplines. Topics include the distinction between external and internal accounting, cost behavior, product costing, profitability analysis, performance evaluation, capital budgeting, and transfer pricing. Emphasis is on issues encountered in technology intensive manufacturing organizations. *Note: This course is not intended for Saunders College of Business students. (Enrollment in this course requires permission from the department offering the course.) Lecture 3 (Spring). |
3 |
| ISEE-497 | Multidisciplinary Senior Design I This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-323 and ISEE-330 or equivalent course.
Co-requisites: ISEE-350 and ISEE-420 and ISEE-510 and ISEE-560 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-498 | Multidisciplinary Senior Design II This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-497 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-561 | Linear Regression Analysis In any system where parameters of interest change, it may be of interest to examine the effects that some variables exert (or appear to exert) on others. "Regression analysis" actually describes a variety of data analysis techniques that can be used to describe the interrelationships among such variables. In this course we will examine in detail the use of one popular analytic technique: least squares linear regression. Cases illustrating the use of regression techniques in engineering applications will be developed and analyzed throughout the course. (Prerequisites: (MATH-233 or (MATH-231 and MATH-241)) and (ISEE-325 or STAT-252 or MATH-252) or equivalent courses and students in ISEE-BS programs.) Lecture 3 (Fall). |
3 |
| ISEE-750 | Systems and Project Management Systems and Project Management ensures progress toward objectives, proper deployment and conservation of human and financial resources, and achievement of cost and schedule targets. The focus of the course is on the utilization of a diverse set of project management methods and tools. Topics include strategic project management, project and organization learning, cost, schedule planning and control, structuring of performance measures and metrics, technical teams and project management, information technology support of teams, risk management, and process control. Course delivery consists of lectures, speakers, case studies, and experience sharing, and reinforces collaborative project-based learning and continuous improvement. (Prerequisites: ISEE-350 or equivalent course or graduate standing in ISEE BS/MS, ISEE BS/ME, ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME, ENGMGT-ME, PRODDEV-MS or MFLEAD-MS programs.) Lecture 3 (Fall). |
3 |
| ISEE-771 | Engineering of Systems I The engineering of a system is focused on the identification of value and the value chain, requirements management and engineering, understanding the limitations of current systems, the development of the overall concept, and continually improving the robustness of the defined solution. EOS I & II is a 2-semester course sequence focused on the creation of systems that generate value for both the customer and the enterprise. Through systematic analysis and synthesis methods, novel solutions to problems are proposed and selected. This first course in the sequence focuses on the definition of the system requirements by systematic analysis of the existing problems, issues and solutions, to create an improved vision for a new system. Based on this new vision, new high-level solutions will be identified and selected for (hypothetical) further development. The focus is to learn systems engineering through a focus on an actual artifact (This course is restricted to students in the ISEE BS/MS, ISEE BS/ME, ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME, PRODEV-MS, MFLEAD-MS or ENGMGT-ME programs or those with 5th year standing in ISEE-BS or ISEEDU-BS.) Lecture 3 (Fall, Spring). |
3 |
| Choose one of the following: | 3 |
|
| ISEE-792 | Engineering Capstone For the Master of Engineering programs in Industrial and Systems Engineering, Engineering Management, and Sustainable Engineering. Students must investigate a discipline-related topic in a field related to industrial and systems engineering, engineering management, or sustainable engineering. The general intent of the engineering capstone is to demonstrate the students' knowledge of the integrative aspects of a particular area. The capstone should draw upon skills and knowledge acquired in the program. (This course is restricted to students in ISEE-ME, ENGMGT-ME, SUSTAIN-ME or the ISEE BS/ME programs.) Lecture 3 (Fall, Spring). |
|
| ISEE-794 | Leadership Capstone plus 1 additional Engineering Elective For students enrolled in the BS/ME dual degree program. Student must either: 1) serve as a team leader for the multidisciplinary senior design project, where they must apply leadership, project management, and system engineering skills to the solution of unstructured, open-ended, multi-disciplinary real-world engineering problems, or 2) demonstrate leadership through the investigation of a discipline-related topic. (Enrollment in this course requires permission from the department offering the course.) Seminar (Fall, Spring). |
|
Engineering Management Electives |
6 | |
General Education – Immersion 3 |
3 | |
| Total Semester Credit Hours | 150 |
|
Please see General Education Curriculum (GE) for more information.
(WI-PR) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
Industrial Engineering, BS degree/Science, Technology and Public Policy, MS degree, typical course sequence
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| CHMG-131 | General Education – Elective: General Chemistry for Engineers This rigorous course is primarily for, but not limited to, engineering students. Topics include an introduction to some basic concepts in chemistry, stoichiometry, First Law of Thermodynamics, thermochemistry, electronic theory of composition and structure, and chemical bonding. The lecture is supported by workshop-style problem sessions. Offered in traditional and online format. Lecture 2, Recitation 1 (Fall, Spring). |
3 |
| ISEE-120 | Fundamentals of Industrial Engineering This course introduces students to industrial engineering and provides students with foundational tools used in the profession. The course is intended to prepare students for their first co-op experience in industrial engineering by exposing them to tools and concepts that are often encountered during early co-op assignments. The course covers specific tools and their applications, including systems design and the integration. The course uses a combination of lecture and laboratory activities. Projects and group exercises will be used to cover hands-on applications and problem-solving related to topics covered in lectures. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-140 | Materials Processing A study of the application of machine tools and fabrication processes to engineering materials in the manufacture of products. Processes covered include cutting, molding, casting, forming, powder metallurgy, solid modeling, engineering drawing, and welding. Students make a project in the lab portion of the course. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lab 1, Lecture 3 (Fall). |
3 |
| MATH-181 | General Education – Mathematical Perspective A: Project-Based Calculus I This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). |
4 |
| MATH-182 | General Education – Mathematical Perspective B: Project-Based Calculus II This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C- or better in (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). |
4 |
| PHYS-211 | General Education – Scientific Principles Perspective: University Physics I This is a course in calculus-based physics for science and engineering majors. Topics include kinematics, planar motion, Newton's Laws, gravitation, work and energy, momentum and impulse, conservation laws, systems of particles, rotational motion, static equilibrium, mechanical oscillations and waves, and data presentation/analysis. The course is taught in a workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: C- or better in MATH-181 or equivalent course. Co-requisites: MATH-182 or equivalent course.) Lec/Lab 6 (Fall, Spring). |
4 |
| YOPS-10 | RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring). |
0 |
General Education – Artistic Perspective |
3 | |
General Education – Ethical Perspective |
3 | |
General Education – First-Year Writing (WI) |
3 | |
General Education – Elective |
3 | |
| Second Year | ||
| ISEE-200 | General Education – Elective: Computing for Engineers A first course in computational problem solving for engineers. Students will learn the theory necessary to develop algorithms to solve computational problems in the engineering disciplines. Topics include: program design and implementation, integrated development environment, mathematical operations, file input/output, data manipulations, functions, and arrays. Course also covers an introduction to implementing object-oriented programming and graphical user interface. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Spring). |
3 |
| ISEE-325 | Engineering Statistics and Design of Experiments This course covers statistics for use in engineering as well as the primary concepts of experimental design. The first portion of the course will cover: Point estimation; hypothesis testing and confidence intervals; one- and two-sample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate real-world science and engineering examples, including studies found in the literature. (Prerequisites: STAT-251 or MATH-251 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-345 | Engineering Economy Time value of money, methods of comparing alternatives, depreciation and depletion, income tax consideration and capital budgeting. Cannot be used as a professional elective for ISE majors. Course provides a foundation for engineers to effectively analyze engineering projects with respect to financial considerations. Lecture 3 (Fall, Spring). |
3 |
| MATH-221 | General Education – Elective: Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vector-valued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH-219. (Prerequisite: C- or better MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). |
4 |
| MATH-233 | General Education – Elective: Linear Systems and Differential Equations This is an introductory course in linear algebra and ordinary differential equations in which a scientific computing package is used to clarify mathematical concepts, visualize problems, and work with large systems. The course covers matrix algebra, the basic notions and techniques of ordinary differential equations with constant coefficients, and the physical situation in which they arise. (Prerequisites: MATH-172 or MATH-182 or MATH-182A and students in CHEM-BS or CHEM-BS/MS or ISEE-BS programs.) Lecture 4 (Spring). |
4 |
| MATH-251 | General Education – Elective: Probability and Statistics I This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). |
3 |
| MECE-200 | Fundamentals of Mechanics Statics: equilibrium, the principle of transmissibility of forces, couples, centroids, trusses and friction. Introduction to strength of materials: axial stresses and strains, statically indeterminate problems, torsion and bending. Dynamics: dynamics of particles and rigid bodies with an introduction to kinematics and kinetics of particles and rigid bodies, work, energy, impulse momentum and mechanical vibrations. Emphasis is on problem solving. For students majoring in industrial and systems engineering. (Prerequisites: PHYS-211 or PHYS-211A or 1017-312 or 1017-312T or 1017-389 or PHYS-206 and PHYS-207 or equivalent course.and restricted to students in ISEE-BS or ISEEDU-BS programs.) Lecture 4 (Spring). |
4 |
| PHYS-212 | General Education – Natural Science Inquiry Perspective: University Physics II This course is a continuation of PHYS-211, University Physics I. Topics include electrostatics, Gauss' law, electric field and potential, capacitance, resistance, DC circuits, magnetic field, Ampere's law, inductance, and geometrical and physical optics. The course is taught in a lecture/workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: (PHYS-211 or PHYS-211A or PHYS-206 or PHYS-216) or (MECE-102, MECE-103 and MECE-205) and (MATH-182 or MATH-172 or MATH-182A) or equivalent courses. Grades of C- or better are required in all prerequisite courses.) Lec/Lab 6 (Fall, Spring). |
4 |
General Education – Global Perspective |
3 | |
General Education – Social Perspective |
3 | |
| Third Year | ||
| ISEE-301 | Operations Research An introduction to optimization through mathematical programming and stochastic modeling techniques. Course topics include linear programming, transportation and assignment algorithms, Markov Chain queuing and their application on problems in manufacturing, health care, financial systems, supply chain, and other engineering disciplines. Special attention is placed on sensitivity analysis and the need of optimization in decision-making. The course is delivered through lectures and a weekly laboratory where students learn to use state-of-the-art software packages for modeling large discrete optimization problems. (Prerequisites: MATH-233 or (MATH-231 and MATH-241) or equivalent course.) Lab 2, Lecture 3 (Fall, Spring). |
4 |
| ISEE-323 | Systems and Facilities Planning A basic course in quantitative models on layout, material handling, and warehousing. Topics include product/process analysis, flow of materials, material handling systems, warehousing and layout design. A computer-aided layout design package is used. (Corequisites: ISEE-301 or equivalent course.) Lab 2, Lecture 2 (Spring). |
3 |
| ISEE-330 | Ergonomics and Human Factors (WI-PR) This course covers the physical and cognitive aspects of human performance to enable students to design work places, procedures, products and processes that are consistent with human capabilities and limitations. Principles of physical work and human anthropometry are studied to enable the student to systematically design work places, processes, and systems that are consistent with human capabilities and limitations. In addition, the human information processing capabilities are studied, which includes the human sensory, memory, attention and cognitive processes; display and control design principles; as well as human computer interface design. (Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 4 (Spring). |
4 |
| ISEE-350 | Engineering Management Development of the fundamental engineering management principles of industrial enterprise, including an introduction to project management. Emphasis is on project management and the development of the project management plan. At least one term of previous co-op experience is required. (Prerequisite: BIME-499 or MECE-499 or ISEE-499 or CHME-499 or EEEE-499 or CMPE-499 or MCEE-499 or equivalent course.) Lecture 3 (Spring). |
3 |
| ISEE-499 | Co-op (fall, summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| MECE-304 | Fundamentals of Material Science |
2 |
| MECE-306 | Materials Science and Applications Lab A required laboratory course taken concurrently with MECE-304 Fundamentals of Materials Science or MECE-305 Materials Science with Applications. Students investigate the effects of the structure, alloying, and processing of materials on their mechanical properties. Students are also introduced to standardized testing methods and effective, professional, report writing. (This course is restricted to students in MECE-BS or MECEDU-BS or MECE-MN or ISEE-BS or ISEEDU-BS or ENGRX-UND students.) Lab 2 (Fall, Spring). |
1 |
| Fourth Year | ||
| ISEE-420 | Production Planning/Scheduling A first course in mathematical modeling of production-inventory systems. Topics included: Inventory; Deterministic Models, Inventory: Stochastic Models, Push v. Pull Production Control Systems, Factory Physics, and Operations Scheduling. Modern aspects such as lean manufacturing are included in the context of the course. (Prerequisites: ISEE-301 and (STAT-251 or MATH-251) or equivalent course.) Lecture 3 (Fall). |
3 |
| ISEE-460 | Applied Statistical Quality Control |
3 |
| ISEE-499 | Co-op (summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| ISEE-510 | Systems Simulation Computer-based simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A high-level simulation language such as Simio, ARENA, etc., will be used to model systems and examine system performance. Model validation, design of simulation experiments, and random number generation will be introduced. (Prerequisites: ISEE-200 and ISEE-301 or equivalent course.
Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| PUBL-701 | Graduate Policy Analysis This course provides graduate students with necessary tools to help them become effective policy analysts. The course places particular emphasis on understanding the policy process, the different approaches to policy analysis, and the application of quantitative and qualitative methods for evaluating public policies. Students will apply these tools to contemporary public policy decision making at the local, state, federal, and international levels. Lecture 3 (Fall). |
3 |
| PUBL-702 | Graduate Decision Analysis This course provides students with an introduction to decision science and analysis. The course focuses on several important tools for making good decisions, including decision trees, including forecasting, risk analysis, and multi-attribute decision making. Students will apply these tools to contemporary public policy decision making at the local, state, federal, and international levels. Lecture 3 (Spring). |
3 |
General Education – Immersion 1, 2, 3 |
9 | |
Professional Elective |
3 | |
Professional Elective/Public Policy Elective |
3 | |
| Fifth Year | ||
| ISEE-497 | Multidisciplinary Senior Design I This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-323 and ISEE-330 or equivalent course.
Co-requisites: ISEE-350 and ISEE-420 and ISEE-510 and ISEE-560 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-498 | Multidisciplinary Senior Design II This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-497 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-561 | Linear Regression Analysis In any system where parameters of interest change, it may be of interest to examine the effects that some variables exert (or appear to exert) on others. "Regression analysis" actually describes a variety of data analysis techniques that can be used to describe the interrelationships among such variables. In this course we will examine in detail the use of one popular analytic technique: least squares linear regression. Cases illustrating the use of regression techniques in engineering applications will be developed and analyzed throughout the course. (Prerequisites: (MATH-233 or (MATH-231 and MATH-241)) and (ISEE-325 or STAT-252 or MATH-252) or equivalent courses and students in ISEE-BS programs.) Lecture 3 (Fall). |
3 |
| PUBL-700 | Readings in Public Policy An in-depth inquiry into key contemporary public policy issues. Students will be exposed to a wide range of important public policy texts, and will learn how to write a literature review in a policy area of their choosing. (This class is restricted to degree-seeking graduate students or those with permission from instructor.) Seminar (Fall). |
3 |
| PUBL-703 | Evaluation and Research Design The focus of this course is on evaluation of program outcomes and research design. Students will explore the questions and methodologies associated with meeting programmatic outcomes, secondary or unanticipated effects, and an analysis of alternative means for achieving program outcomes. Critique of evaluation research methodologies will also be considered. Seminar (Spring). |
3 |
| STSO-710 | Graduate Science and Technology Policy Seminar Examines how federal and international policies are developed to influence research and development, innovation, and the transfer of technology in the United States and other selected nations. Students in the course will apply basic policy skills, concepts, and methods to contemporary science and technology policy topics. (This class is restricted to degree-seeking graduate students or those with permission from instructor.) Seminar (Fall). |
3 |
Open Electives |
6 | |
Public Policy Electives |
3 | |
Professional Elective/Public Policy Elective |
3 | |
| Choose one of the following: | 6 |
|
| PUBL-785 | Capstone Experience The Public Policy Capstone Experience serves as a culminating experience for those MS in Science, Technology and Public Policy students who chose this option in the Public Policy Department. Over the course of the semester, students will have the opportunity to investigate and address contemporary topics in science and technology policy using analytic skills and theoretical knowledge learned over the course of their MS degree. Project 1 (Fall, Spring, Summer). |
|
| PUBL-790 | Public Policy Thesis The master's thesis in science, technology, and public policy requires the student to select a thesis topic, advisor and committee; prepare a written thesis proposal for approval by the faculty; present and defend the thesis before a thesis committee; and submit a bound copy of the thesis to the library and to the program chair. (Enrollment in this course requires permission from the department offering the course.) Thesis 3 (Fall, Spring, Summer). |
|
| PUBL-798 | Comprehensive Exam plus 2 Graduate Electives |
|
| Total Semester Credit Hours | 150 |
|
Please see General Education Curriculum (GE) for more information.
(WI-PR) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
The industrial engineering BS/Industrial and systems engineering ME is no longer accepting applications for admission.
Industrial Engineering, BS degree/Industrial and Systems Engineering, ME degree, typical course sequence
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| CHMG-131 | General Education – Elective: General Chemistry for Engineers This rigorous course is primarily for, but not limited to, engineering students. Topics include an introduction to some basic concepts in chemistry, stoichiometry, First Law of Thermodynamics, thermochemistry, electronic theory of composition and structure, and chemical bonding. The lecture is supported by workshop-style problem sessions. Offered in traditional and online format. Lecture 2, Recitation 1 (Fall, Spring). |
3 |
| ISEE-120 | Fundamentals of Industrial Engineering This course introduces students to industrial engineering and provides students with foundational tools used in the profession. The course is intended to prepare students for their first co-op experience in industrial engineering by exposing them to tools and concepts that are often encountered during early co-op assignments. The course covers specific tools and their applications, including systems design and the integration. The course uses a combination of lecture and laboratory activities. Projects and group exercises will be used to cover hands-on applications and problem-solving related to topics covered in lectures. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-140 | Materials Processing A study of the application of machine tools and fabrication processes to engineering materials in the manufacture of products. Processes covered include cutting, molding, casting, forming, powder metallurgy, solid modeling, engineering drawing, and welding. Students make a project in the lab portion of the course. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lab 1, Lecture 3 (Fall). |
3 |
| MATH-181 | General Education – Mathematical Perspective A: Project-Based Calculus I This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). |
4 |
| MATH-182 | General Education – Mathematical Perspective B: Project-Based Calculus II This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C- or better in (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). |
4 |
| PHYS-211 | General Education – Scientific Principles Perspective: University Physics I This is a course in calculus-based physics for science and engineering majors. Topics include kinematics, planar motion, Newton's Laws, gravitation, work and energy, momentum and impulse, conservation laws, systems of particles, rotational motion, static equilibrium, mechanical oscillations and waves, and data presentation/analysis. The course is taught in a workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: C- or better in MATH-181 or equivalent course. Co-requisites: MATH-182 or equivalent course.) Lec/Lab 6 (Fall, Spring). |
4 |
| YOPS-010 | RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring). |
0 |
General Education – Artistic Perspective |
3 | |
General Education – Ethical Perspective |
3 | |
General Education – First-Year Writing (WI) |
3 | |
General Education – Elective |
3 | |
| Second Year | ||
| ISEE-200 | General Education – Elective: Computing for Engineers A first course in computational problem solving for engineers. Students will learn the theory necessary to develop algorithms to solve computational problems in the engineering disciplines. Topics include: program design and implementation, integrated development environment, mathematical operations, file input/output, data manipulations, functions, and arrays. Course also covers an introduction to implementing object-oriented programming and graphical user interface. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Spring). |
3 |
| ISEE-325 | Engineering Statistics and Design of Experiments This course covers statistics for use in engineering as well as the primary concepts of experimental design. The first portion of the course will cover: Point estimation; hypothesis testing and confidence intervals; one- and two-sample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate real-world science and engineering examples, including studies found in the literature. (Prerequisites: STAT-251 or MATH-251 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-345 | Engineering Economy Time value of money, methods of comparing alternatives, depreciation and depletion, income tax consideration and capital budgeting. Cannot be used as a professional elective for ISE majors. Course provides a foundation for engineers to effectively analyze engineering projects with respect to financial considerations. Lecture 3 (Fall, Spring). |
3 |
| ISEE-499 | Co-op (summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| MATH-221 | General Education – Elective: Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vector-valued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH-219. (Prerequisite: C- or better MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). |
4 |
| MATH-233 | General Education – Elective: Linear Systems and Differential Equations This is an introductory course in linear algebra and ordinary differential equations in which a scientific computing package is used to clarify mathematical concepts, visualize problems, and work with large systems. The course covers matrix algebra, the basic notions and techniques of ordinary differential equations with constant coefficients, and the physical situation in which they arise. (Prerequisites: MATH-172 or MATH-182 or MATH-182A and students in CHEM-BS or CHEM-BS/MS or ISEE-BS programs.) Lecture 4 (Spring). |
4 |
| MATH-251 | General Education – Elective: Probability and Statistics I This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). |
3 |
| MECE-200 | Fundamentals of Mechanics Statics: equilibrium, the principle of transmissibility of forces, couples, centroids, trusses and friction. Introduction to strength of materials: axial stresses and strains, statically indeterminate problems, torsion and bending. Dynamics: dynamics of particles and rigid bodies with an introduction to kinematics and kinetics of particles and rigid bodies, work, energy, impulse momentum and mechanical vibrations. Emphasis is on problem solving. For students majoring in industrial and systems engineering. (Prerequisites: PHYS-211 or PHYS-211A or 1017-312 or 1017-312T or 1017-389 or PHYS-206 and PHYS-207 or equivalent course.and restricted to students in ISEE-BS or ISEEDU-BS programs.) Lecture 4 (Spring). |
4 |
| PHYS-212 | General Education – Natural Science Inquiry Perspective: University Physics II This course is a continuation of PHYS-211, University Physics I. Topics include electrostatics, Gauss' law, electric field and potential, capacitance, resistance, DC circuits, magnetic field, Ampere's law, inductance, and geometrical and physical optics. The course is taught in a lecture/workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: (PHYS-211 or PHYS-211A or PHYS-206 or PHYS-216) or (MECE-102, MECE-103 and MECE-205) and (MATH-182 or MATH-172 or MATH-182A) or equivalent courses. Grades of C- or better are required in all prerequisite courses.) Lec/Lab 6 (Fall, Spring). |
4 |
General Education – Global Perspective |
3 | |
General Education – Social Perspective |
3 | |
| Third Year | ||
| ISEE-301 | Operations Research An introduction to optimization through mathematical programming and stochastic modeling techniques. Course topics include linear programming, transportation and assignment algorithms, Markov Chain queuing and their application on problems in manufacturing, health care, financial systems, supply chain, and other engineering disciplines. Special attention is placed on sensitivity analysis and the need of optimization in decision-making. The course is delivered through lectures and a weekly laboratory where students learn to use state-of-the-art software packages for modeling large discrete optimization problems. (Prerequisites: MATH-233 or (MATH-231 and MATH-241) or equivalent course.) Lab 2, Lecture 3 (Fall, Spring). |
4 |
| ISEE-323 | Systems and Facilities Planning A basic course in quantitative models on layout, material handling, and warehousing. Topics include product/process analysis, flow of materials, material handling systems, warehousing and layout design. A computer-aided layout design package is used. (Corequisites: ISEE-301 or equivalent course.) Lab 2, Lecture 2 (Spring). |
3 |
| ISEE-330 | Ergonomics and Human Factors (WI-PR) This course covers the physical and cognitive aspects of human performance to enable students to design work places, procedures, products and processes that are consistent with human capabilities and limitations. Principles of physical work and human anthropometry are studied to enable the student to systematically design work places, processes, and systems that are consistent with human capabilities and limitations. In addition, the human information processing capabilities are studied, which includes the human sensory, memory, attention and cognitive processes; display and control design principles; as well as human computer interface design. (Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 4 (Spring). |
4 |
| ISEE-350 | Engineering Management Development of the fundamental engineering management principles of industrial enterprise, including an introduction to project management. Emphasis is on project management and the development of the project management plan. At least one term of previous co-op experience is required. (Prerequisite: BIME-499 or MECE-499 or ISEE-499 or CHME-499 or EEEE-499 or CMPE-499 or MCEE-499 or equivalent course.) Lecture 3 (Spring). |
3 |
| ISEE-499 | Co-op (fall, summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| MECE-304 | Fundamentals of Materials Science |
2 |
| MECE-306 | Materials Science and Applications Laboratory A required laboratory course taken concurrently with MECE-304 Fundamentals of Materials Science or MECE-305 Materials Science with Applications. Students investigate the effects of the structure, alloying, and processing of materials on their mechanical properties. Students are also introduced to standardized testing methods and effective, professional, report writing. (This course is restricted to students in MECE-BS or MECEDU-BS or MECE-MN or ISEE-BS or ISEEDU-BS or ENGRX-UND students.) Lab 2 (Fall, Spring). |
1 |
| Fourth Year | ||
| ISEE-420 | Production Planning/Scheduling A first course in mathematical modeling of production-inventory systems. Topics included: Inventory; Deterministic Models, Inventory: Stochastic Models, Push v. Pull Production Control Systems, Factory Physics, and Operations Scheduling. Modern aspects such as lean manufacturing are included in the context of the course. (Prerequisites: ISEE-301 and (STAT-251 or MATH-251) or equivalent course.) Lecture 3 (Fall). |
3 |
| ISEE-499 | Co-op (summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| ISEE-510 | Systems Simulation Computer-based simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A high-level simulation language such as Simio, ARENA, etc., will be used to model systems and examine system performance. Model validation, design of simulation experiments, and random number generation will be introduced. (Prerequisites: ISEE-200 and ISEE-301 or equivalent course.
Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-560 | Applied Statistical Quality Control An applied approach to statistical quality control utilizing theoretical tools acquired in other math and statistics courses. Heavy emphasis on understanding and applying statistical analysis methods in real-world quality control situations in engineering. Topics include process capability analysis, acceptance sampling, hypothesis testing and control charts. Contemporary topics such as six-sigma are included within the context of the course. (Prerequisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course and students in ISEE-BS or ISEE-MN or ENGMGT-MN programs.) Lecture 3 (Fall). |
3 |
| ISEE-760 | Design of Experiments This course presents an in-depth study of the primary concepts of experimental design. Its applied approach uses theoretical tools acquired in other mathematics and statistics courses. Emphasis is placed on the role of replication and randomization in experimentation. Numerous designs and design strategies are reviewed and implications on data analysis are discussed. Topics include: consideration of type 1 and type 2 errors in experimentation, sample size determination, completely randomized designs, randomized complete block designs, blocking and confounding in experiments, Latin square and Graeco Latin square designs, general factorial designs, the 2k factorial design system, the 3k factorial design system, fractional factorial designs, Taguchi experimentation. (Prerequisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course or students in ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME or ENGMGT-ME programs.) Lecture 3 (Spring). |
3 |
Professional Electives |
9 | |
Open Electives |
9 | |
General Education – Immersion 1, 2 |
6 | |
| Fifth Year | ||
| ISEE-497 | Multidisciplinary Senior Design I This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-323 and ISEE-330 or equivalent course.
Co-requisites: ISEE-350 and ISEE-420 and ISEE-510 and ISEE-560 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-498 | Multidisciplinary Senior Design II This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-497 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-561 | Linear Regression Analysis In any system where parameters of interest change, it may be of interest to examine the effects that some variables exert (or appear to exert) on others. "Regression analysis" actually describes a variety of data analysis techniques that can be used to describe the interrelationships among such variables. In this course we will examine in detail the use of one popular analytic technique: least squares linear regression. Cases illustrating the use of regression techniques in engineering applications will be developed and analyzed throughout the course. (Prerequisites: (MATH-233 or (MATH-231 and MATH-241)) and (ISEE-325 or STAT-252 or MATH-252) or equivalent courses and students in ISEE-BS programs.) Lecture 3 (Fall). |
3 |
| ISEE-771 | Engineering of Systems I The engineering of a system is focused on the identification of value and the value chain, requirements management and engineering, understanding the limitations of current systems, the development of the overall concept, and continually improving the robustness of the defined solution. EOS I & II is a 2-semester course sequence focused on the creation of systems that generate value for both the customer and the enterprise. Through systematic analysis and synthesis methods, novel solutions to problems are proposed and selected. This first course in the sequence focuses on the definition of the system requirements by systematic analysis of the existing problems, issues and solutions, to create an improved vision for a new system. Based on this new vision, new high-level solutions will be identified and selected for (hypothetical) further development. The focus is to learn systems engineering through a focus on an actual artifact (This course is restricted to students in the ISEE BS/MS, ISEE BS/ME, ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME, PRODEV-MS, MFLEAD-MS or ENGMGT-ME programs or those with 5th year standing in ISEE-BS or ISEEDU-BS.) Lecture 3 (Fall, Spring). |
3 |
| Choose one of the following: | 3 |
|
| ISEE-792 | Engineering Capstone For the Master of Engineering programs in Industrial and Systems Engineering, Engineering Management, and Sustainable Engineering. Students must investigate a discipline-related topic in a field related to industrial and systems engineering, engineering management, or sustainable engineering. The general intent of the engineering capstone is to demonstrate the students' knowledge of the integrative aspects of a particular area. The capstone should draw upon skills and knowledge acquired in the program. (This course is restricted to students in ISEE-ME, ENGMGT-ME, SUSTAIN-ME or the ISEE BS/ME programs.) Lecture 3 (Fall, Spring). |
|
| ISEE-794 | Leadership Capstone plus 1 additional Graduate Elective For students enrolled in the BS/ME dual degree program. Student must either: 1) serve as a team leader for the multidisciplinary senior design project, where they must apply leadership, project management, and system engineering skills to the solution of unstructured, open-ended, multi-disciplinary real-world engineering problems, or 2) demonstrate leadership through the investigation of a discipline-related topic. (Enrollment in this course requires permission from the department offering the course.) Seminar (Fall, Spring). |
|
Graduate Electives |
12 | |
General Education – Immersion 3 |
3 | |
| Total Semester Credit Hours | 150 |
|
Please see General Education Curriculum (GE) for more information.
(WI-PR) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
The industrial engineering BS/sustainable engineering ME is no longer accepting applications for admission.
Industrial Engineering, BS degree/Sustainable Engineering, ME degree, typical course sequence
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| CHMG-131 | General Education – Elective: General Chemistry for Engineers This rigorous course is primarily for, but not limited to, engineering students. Topics include an introduction to some basic concepts in chemistry, stoichiometry, First Law of Thermodynamics, thermochemistry, electronic theory of composition and structure, and chemical bonding. The lecture is supported by workshop-style problem sessions. Offered in traditional and online format. Lecture 2, Recitation 1 (Fall, Spring). |
3 |
| ISEE-120 | Fundamentals of Industrial Engineering This course introduces students to industrial engineering and provides students with foundational tools used in the profession. The course is intended to prepare students for their first co-op experience in industrial engineering by exposing them to tools and concepts that are often encountered during early co-op assignments. The course covers specific tools and their applications, including systems design and the integration. The course uses a combination of lecture and laboratory activities. Projects and group exercises will be used to cover hands-on applications and problem-solving related to topics covered in lectures. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-140 | Materials Processing A study of the application of machine tools and fabrication processes to engineering materials in the manufacture of products. Processes covered include cutting, molding, casting, forming, powder metallurgy, solid modeling, engineering drawing, and welding. Students make a project in the lab portion of the course. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lab 1, Lecture 3 (Fall). |
3 |
| MATH-181 | General Education – Mathematical Perspective A: Project-Based Calculus I This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). |
4 |
| MATH-182 | General Education – Mathematical Perspective B: Project-Based Calculus II This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C- or better in (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). |
4 |
| PHYS-211 | General Education – Scientific Principles Perspective: University Physics I This is a course in calculus-based physics for science and engineering majors. Topics include kinematics, planar motion, Newton's Laws, gravitation, work and energy, momentum and impulse, conservation laws, systems of particles, rotational motion, static equilibrium, mechanical oscillations and waves, and data presentation/analysis. The course is taught in a workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: C- or better in MATH-181 or equivalent course. Co-requisites: MATH-182 or equivalent course.) Lec/Lab 6 (Fall, Spring). |
4 |
| YOPS-010 | RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring). |
0 |
General Education – Artistic Perspective |
3 | |
General Education – Ethical Perspective |
3 | |
General Education – First-Year Writing (WI) |
3 | |
General Education – Elective |
3 | |
| Second Year | ||
| ISEE-200 | General Education – Elective: Computing for Engineers A first course in computational problem solving for engineers. Students will learn the theory necessary to develop algorithms to solve computational problems in the engineering disciplines. Topics include: program design and implementation, integrated development environment, mathematical operations, file input/output, data manipulations, functions, and arrays. Course also covers an introduction to implementing object-oriented programming and graphical user interface. (This class is restricted to ISEE-BS, ENGRX-UND, or ISEEDU Major students.) Lecture 3 (Spring). |
3 |
| ISEE-325 | Engineering Statistics and Design of Experiments This course covers statistics for use in engineering as well as the primary concepts of experimental design. The first portion of the course will cover: Point estimation; hypothesis testing and confidence intervals; one- and two-sample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate real-world science and engineering examples, including studies found in the literature. (Prerequisites: STAT-251 or MATH-251 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-345 | Engineering Economy Time value of money, methods of comparing alternatives, depreciation and depletion, income tax consideration and capital budgeting. Cannot be used as a professional elective for ISE majors. Course provides a foundation for engineers to effectively analyze engineering projects with respect to financial considerations. Lecture 3 (Fall, Spring). |
3 |
| ISEE-499 | Co-op (summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| MATH-221 | General Education – Elective: Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vector-valued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH-219. (Prerequisite: C- or better MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). |
4 |
| MATH-233 | General Education – Elective: Linear Systems and Differential Equations This is an introductory course in linear algebra and ordinary differential equations in which a scientific computing package is used to clarify mathematical concepts, visualize problems, and work with large systems. The course covers matrix algebra, the basic notions and techniques of ordinary differential equations with constant coefficients, and the physical situation in which they arise. (Prerequisites: MATH-172 or MATH-182 or MATH-182A and students in CHEM-BS or CHEM-BS/MS or ISEE-BS programs.) Lecture 4 (Spring). |
4 |
| MATH-251 | General Education – Elective: Probability and Statistics I This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). |
3 |
| MECE-200 | Fundamentals of Mechanics Statics: equilibrium, the principle of transmissibility of forces, couples, centroids, trusses and friction. Introduction to strength of materials: axial stresses and strains, statically indeterminate problems, torsion and bending. Dynamics: dynamics of particles and rigid bodies with an introduction to kinematics and kinetics of particles and rigid bodies, work, energy, impulse momentum and mechanical vibrations. Emphasis is on problem solving. For students majoring in industrial and systems engineering. (Prerequisites: PHYS-211 or PHYS-211A or 1017-312 or 1017-312T or 1017-389 or PHYS-206 and PHYS-207 or equivalent course.and restricted to students in ISEE-BS or ISEEDU-BS programs.) Lecture 4 (Spring). |
4 |
| PHYS-212 | General Education – Natural Science Inquiry Perspective: University Physics II This course is a continuation of PHYS-211, University Physics I. Topics include electrostatics, Gauss' law, electric field and potential, capacitance, resistance, DC circuits, magnetic field, Ampere's law, inductance, and geometrical and physical optics. The course is taught in a lecture/workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: (PHYS-211 or PHYS-211A or PHYS-206 or PHYS-216) or (MECE-102, MECE-103 and MECE-205) and (MATH-182 or MATH-172 or MATH-182A) or equivalent courses. Grades of C- or better are required in all prerequisite courses.) Lec/Lab 6 (Fall, Spring). |
4 |
General Education – Global Perspective |
3 | |
General Education – Social Perspective |
3 | |
| Third Year | ||
| ISEE-301 | Operations Research An introduction to optimization through mathematical programming and stochastic modeling techniques. Course topics include linear programming, transportation and assignment algorithms, Markov Chain queuing and their application on problems in manufacturing, health care, financial systems, supply chain, and other engineering disciplines. Special attention is placed on sensitivity analysis and the need of optimization in decision-making. The course is delivered through lectures and a weekly laboratory where students learn to use state-of-the-art software packages for modeling large discrete optimization problems. (Prerequisites: MATH-233 or (MATH-231 and MATH-241) or equivalent course.) Lab 2, Lecture 3 (Fall, Spring). |
4 |
| ISEE-323 | Systems and Facilities Planning A basic course in quantitative models on layout, material handling, and warehousing. Topics include product/process analysis, flow of materials, material handling systems, warehousing and layout design. A computer-aided layout design package is used. (Corequisites: ISEE-301 or equivalent course.) Lab 2, Lecture 2 (Spring). |
3 |
| ISEE-330 | Ergonomics and Human Factors (WI-PR) This course covers the physical and cognitive aspects of human performance to enable students to design work places, procedures, products and processes that are consistent with human capabilities and limitations. Principles of physical work and human anthropometry are studied to enable the student to systematically design work places, processes, and systems that are consistent with human capabilities and limitations. In addition, the human information processing capabilities are studied, which includes the human sensory, memory, attention and cognitive processes; display and control design principles; as well as human computer interface design. (Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 4 (Spring). |
4 |
| ISEE-350 | Engineering Management Development of the fundamental engineering management principles of industrial enterprise, including an introduction to project management. Emphasis is on project management and the development of the project management plan. At least one term of previous co-op experience is required. (Prerequisite: BIME-499 or MECE-499 or ISEE-499 or CHME-499 or EEEE-499 or CMPE-499 or MCEE-499 or equivalent course.) Lecture 3 (Spring). |
3 |
| ISEE-499 | Co-op (fall, summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| MECE-304 | Fundamentals of Materials Science |
2 |
| MECE-306 | Materials Science and Applications Laboratory A required laboratory course taken concurrently with MECE-304 Fundamentals of Materials Science or MECE-305 Materials Science with Applications. Students investigate the effects of the structure, alloying, and processing of materials on their mechanical properties. Students are also introduced to standardized testing methods and effective, professional, report writing. (This course is restricted to students in MECE-BS or MECEDU-BS or MECE-MN or ISEE-BS or ISEEDU-BS or ENGRX-UND students.) Lab 2 (Fall, Spring). |
1 |
| Fourth Year | ||
| ISEE-420 | Production Planning/Scheduling A first course in mathematical modeling of production-inventory systems. Topics included: Inventory; Deterministic Models, Inventory: Stochastic Models, Push v. Pull Production Control Systems, Factory Physics, and Operations Scheduling. Modern aspects such as lean manufacturing are included in the context of the course. (Prerequisites: ISEE-301 and (STAT-251 or MATH-251) or equivalent course.) Lecture 3 (Fall). |
3 |
| ISEE-499 | Co-op (summer) One semester of paid work experience in industrial engineering. (Prerequisites: ISEE-120 and EGEN-99 and students in the ISEE-BS program.) CO OP (Fall, Spring, Summer). |
0 |
| ISEE-510 | Systems Simulation Computer-based simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A high-level simulation language such as Simio, ARENA, etc., will be used to model systems and examine system performance. Model validation, design of simulation experiments, and random number generation will be introduced. (Prerequisites: ISEE-200 and ISEE-301 or equivalent course.
Co-requisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-560 | Applied Statistical Quality Control An applied approach to statistical quality control utilizing theoretical tools acquired in other math and statistics courses. Heavy emphasis on understanding and applying statistical analysis methods in real-world quality control situations in engineering. Topics include process capability analysis, acceptance sampling, hypothesis testing and control charts. Contemporary topics such as six-sigma are included within the context of the course. (Prerequisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course and students in ISEE-BS or ISEE-MN or ENGMGT-MN programs.) Lecture 3 (Fall). |
3 |
Professional Electives |
9 | |
Open Electives |
9 | |
General Education – Immersion 1, 2 |
6 | |
| Fifth Year | ||
| ISEE-497 | Multidisciplinary Senior Design I This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-323 and ISEE-330 or equivalent course.
Co-requisites: ISEE-350 and ISEE-420 and ISEE-510 and ISEE-560 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-498 | Multidisciplinary Senior Design II This is a two course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow an engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, completing systems and subsystems designs, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. (Prerequisites: ISEE-497 or equivalent course.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-561 | Linear Regression Analysis In any system where parameters of interest change, it may be of interest to examine the effects that some variables exert (or appear to exert) on others. "Regression analysis" actually describes a variety of data analysis techniques that can be used to describe the interrelationships among such variables. In this course we will examine in detail the use of one popular analytic technique: least squares linear regression. Cases illustrating the use of regression techniques in engineering applications will be developed and analyzed throughout the course. (Prerequisites: (MATH-233 or (MATH-231 and MATH-241)) and (ISEE-325 or STAT-252 or MATH-252) or equivalent courses and students in ISEE-BS programs.) Lecture 3 (Fall). |
3 |
| ISEE-771 | Engineering of Systems I The engineering of a system is focused on the identification of value and the value chain, requirements management and engineering, understanding the limitations of current systems, the development of the overall concept, and continually improving the robustness of the defined solution. EOS I & II is a 2-semester course sequence focused on the creation of systems that generate value for both the customer and the enterprise. Through systematic analysis and synthesis methods, novel solutions to problems are proposed and selected. This first course in the sequence focuses on the definition of the system requirements by systematic analysis of the existing problems, issues and solutions, to create an improved vision for a new system. Based on this new vision, new high-level solutions will be identified and selected for (hypothetical) further development. The focus is to learn systems engineering through a focus on an actual artifact (This course is restricted to students in the ISEE BS/MS, ISEE BS/ME, ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME, PRODEV-MS, MFLEAD-MS or ENGMGT-ME programs or those with 5th year standing in ISEE-BS or ISEEDU-BS.) Lecture 3 (Fall, Spring). |
3 |
| ISEE-785 | Fundamentals of Sustainable Engineering This is a high level survey course that reviews the product lifecycle from various perspectives and highlights the leverage over material, process, and environmental impacts available at the design phase. Tools and strategies for reducing the environmental impacts associated with the sourcing, manufacture, use, and retirement of products will be reviewed and evaluated. (This course is restricted to students in ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME, ENGMGT-ME, MECE-MS, MECE-ME, SUSPRD-MN or those with at least 4th year standing in ISEE-BS or ISEEDU-BS.) Lecture 3 (Fall). |
3 |
| ISEE-786 | Lifecycle Assessment This course introduces students to the challenges posed when trying to determine the total lifecycle impacts associated with a product or a process design. Various costing models and their inherent assumptions will be reviewed and critiqued. The inability of traditional costing models to account for important environmental and social externalities will be highlighted. The Lifecycle Assessment approach for quantifying environmental and social externalities will be reviewed and specific LCA techniques (Streamlined Lifecycle Assessment, SimaPro) will be covered. (This course is restricted to students in ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME, ENGMGT-ME, MECE-MS, MECE-ME, SUSPRD-MN or those with at least 4th year standing in ISEE-BS or ISEEDU-BS.) Lecture 3 (Spring). |
3 |
| ISEE-792 | Engineering Capstone For the Master of Engineering programs in Industrial and Systems Engineering, Engineering Management, and Sustainable Engineering. Students must investigate a discipline-related topic in a field related to industrial and systems engineering, engineering management, or sustainable engineering. The general intent of the engineering capstone is to demonstrate the students' knowledge of the integrative aspects of a particular area. The capstone should draw upon skills and knowledge acquired in the program. (This course is restricted to students in ISEE-ME, ENGMGT-ME, SUSTAIN-ME or the ISEE BS/ME programs.) Lecture 3 (Fall, Spring). |
3 |
| MECE-629 | Renewable Energy Systems This course provides an overview of renewable energy system design. Energy resource assessment, system components, and feasibility analysis will be covered. Possible topics to be covered include photovoltaics, wind turbines, solar thermal, hydropower, biomass, and geothermal. Students will be responsible for a final design project. (Prerequisites: MECE-310 or equivalent course or graduate standing in MECE-MS or MECE-ME or SUSTAIN-MS or SUSTAIN-ME.) Lecture 3 (Fall). |
3 |
General Education – Immersion 3 |
3 | |
Technology Elective |
3 | |
Social Context Elective |
3 | |
| Total Semester Credit Hours | 150 |
|
Please see General Education Curriculum (GE) for more information.
(WI-PR) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
Admission Requirements
Freshman Admission
For all bachelor’s degree programs, a strong performance in a college preparatory program is expected. Generally, this includes 4 years of English, 3-4 years of mathematics, 2-3 years of science, and 3 years of social studies and/or history.
Specific math and science requirements and other recommendations
- 4 years of math required; including pre-calculus or above
- Chemistry and physics required
Transfer Admission
Transfer course recommendations without associate degree
Pre-engineering courses such as calculus, calculus-based physics, chemistry, and liberal arts.
Appropriate associate degree programs for transfer
AS degree in engineering science
Learn about admissions, cost, and financial aid
Accreditation
The BS program in industrial engineering is accredited by the Engineering Accreditation Commission of ABET. Visit the college's accreditation page for information on enrollment and graduation data, program educational objectives, and student outcomes.
Research
The faculty and students in the Kate Gleason College of Engineering are engaging in numerous areas of research, which takes place across all of our engineering disciplines and often involves other colleges at RIT, local health care institutions, and major industry partners. Explore the college's key research initiatives to learn more about our research in:
Latest News
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October 8, 2021
![researcher looks into microscope while professor adjusts display on laptop.]()
Faculty compensation is focus of NSF-sponsored research
To build understanding of faculty compensation systems and improve conversations around salary, several RIT faculty members are sharing their experiences with a National Science Foundation-funded multidisciplinary research team. The team’s goal is to significantly expand knowledge of best practices for faculty compensation to a broader community in higher education and provide insights to guide compensation practices.
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August 30, 2021
![people sitting around a table playing a card game.]()
RIT alumnus creates new game used as icebreaker for New Student Orientation
John McNicholl, a 2021 RIT graduate from Commack, N.Y, has launched a new game—Deceiver—that is now available on Amazon and at Shop One on campus and was recently incorporated into RIT’s New Student Orientation program as an icebreaker.
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June 11, 2021
![rocket liftoff from NASA's Kennedy Space Center in Florida.]()
RIT wins award to develop game design training platform as part of NASA’s Moon-to-Mars Mission
RIT faculty-researchers will develop a game-design training system that could help astronauts maintain balance, motor skills, and other cognitive functions while in space. NASA, in partnership with the National Space Grant Foundation, has selected six university teams, including RIT, to develop innovative design ideas that will help NASA advance and execute its Moon to Mars exploration objectives.
