Industrial Engineering Bachelor of science degree
Industrial Engineering
Bachelor of science degree
Breadcrumb
 RIT /
 Rochester Institute of Technology /
 Academics /
 Industrial Engineering BS
585‑475‑3952, iris.rivero@rit.edu
Offered within the
Department of Industrial and Systems Engineering
Overview
Optimize, design, and manage the operational and manufacturing processes by which goods are made and distributed.
The industrial engineering degree is for students interested in optimizing, designing, and managing the processes by which goods are made and distributed. They also ensure that highquality products and services are delivered in a costeffective manner. Industrial engineers aid companies globally, balancing sustainable design with skillful construction of systems. Graduates of the industrial engineering degree are able to address bigpicture design and engineering questions, such as how engineers can simultaneously increase efficiency and quality?
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 highquality products and services are delivered in a costeffective 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 longterm 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.
Because of the flexible nature of the major, the industrial engineering student can gain a breadth of knowledge in many different areas of industrial engineering, including, but not limited to, advanced manufacturing, distribution/logistics, ergonomics/human factors, modeling/simulation, and sustainable design and development. Students may choose free and professional electives for this purpose. Faculty are committed to highquality engineering education as well as the program's educational objectives.
The industrial engineering curriculum 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. The curriculum stresses the application of contemporary tools and techniques in solving engineering problems.
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 "bigpicture" 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.
Educational objectives
Faculty from the department of industrial and systems engineering, in conjunction with its constituents, has established the following educational objectives for the industrial engineering major:
Systems integrators—Graduates will draw upon broad knowledge to develop integrated systemsbased 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 wellprepared 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.
With rapidly changing work environments, students need a wellrounded education that will allow them to apply engineering principles to new situations.
Industries

Aerospace 
Automotive 
Manufacturing 
Health Care
Typical Job Titles
Ergonomist  Operations Analyst 
Quality Engineer  Management Engineer 
Materials Handler  Manufacturing Engineer 
Industrial Engineer  Systems Engineer 
Process Engineer  Supply Chain Engineer 
Production Supervisor  Controls Engineer 
Product Engineer  Continuous Improvement Analyst 
Latest News

November 8, 2019
Entrepreneurs Conference takes center stage at RIT
Entrepreneurship took center stage Nov. 7 at RIT at the 15th annual Entrepreneurs Conference, cosponsored by Saunders College of Business and Albert J. Simone Center for Innovation and Entrepreneurship, featuring informational networking sessions, a student business pitch competition and a keynote address from a strategist at one of the world’s bestknown ridesharing companies.

October 11, 2019
Student Spotlight: Exploring engineering through Hot Wheelz team
RIT Hot Wheelz is a studentrun Formula SAE Hybrid racing team that offers handson experience for femaleidentifying students interested in learning more about racing vehicles. Hannah Sones, a secondyear industrial engineering major from Medina, N.Y., joined the team during her first semester at RIT.

April 11, 2019
Projects seek to improve workplaces for disabled employees
The Times Union features RIT students Patrick Finnerty and Catherine Krawiec, part of a team that won second place in the CREATE Symposium.
Curriculum
Industrial Engineering, BS degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
CHMG131 
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 workshopstyle problem sessions. Offered in traditional and online format.

3 
ISEE120 
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 coop experience in industrial engineering by exposing them to tools and concepts that are often encountered during early coop 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 handson applications and problemsolving related to topics covered in lectures.

3 
ISEE140 
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.

3 
MATH181 
ProjectBased Calculus I
This is the first in a twocourse 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.

4 
MATH182 
ProjectBased Calculus II
This is the second in a twocourse 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.

4 
PHYS211 
University Physics I
This is a course in calculusbased 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.

4 
YOPS10  RIT 365: RIT Connections 
0 
First Year Writing (WI) 
3  
LAS Elective 
3  
LAS Perspective 1 (ethical) 
3  
LAS Perspective 2 (artistic) 
3  
Wellness Education* 
0  
Second Year  
ISEE200 
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 objectoriented programming and graphical user interface.

3 
ISEE325 
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 twosample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate realworld science and engineering examples, including studies found in the literature.

3 
ISEE345 
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.

3 
MATH221 
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, vectorvalued 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 MATH219.

4 
MATH233 
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.

4 
MATH251 
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 realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.

3 
MECE200 
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.

4 
PHYS212 
University Physics II
This course is a continuation of PHYS211, 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.

4 
LAS Perspective 3 (global) 
3  
LAS Perspective 4 (social) 
3  
Wellness Education* 
0  
Third Year  
ISEE301 
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 decisionmaking. The course is delivered through lectures and a weekly laboratory where students learn to use stateoftheart software packages for modeling large discrete optimization problems.

4 
ISEE323 
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 computeraided layout design package is used.

3 
ISEE330 
Ergonomics and Human Factors (WI)
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.

4 
ISEE350 
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 coop experience is required.

3 
ISEE499 
Coop (fall and summer)
One semester of paid work experience in industrial engineering.

0 
MECE304 
Fundamentals of Materials Science
This course provides the student with an overview of structure, properties, and processing of metals, polymers, and ceramics. There is a particular emphasis on steels, but significant attention is given to nonferrous metals, ceramics, and polymers.

2 
MECE306 
Materials Science and Applications Laboratory
A required laboratory course taken concurrently with MECE304 Fundamentals of Materials Science or MECE305 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.

1 
Fourth Year  
ISEE420 
Production Planning/Scheduling
A first course in mathematical modeling of productioninventory 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.

3 
ISEE499 
Coop (spring and summer)
One semester of paid work experience in industrial engineering.

0 
ISEE510 
Systems Simulation
Computerbased simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A highlevel simualtion 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.

3 
ISEE560 
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 realworld quality control situations in engineering. Topics include process capability analysis, acceptance sampling, hypothesis testing and control charts. Contemporary topics such as sixsigma are included within the context of the course.

3 
Professional Elective 
3  
LAS Immersion 1 
3  
Fifth Year  
ISEE497 
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.

3 
ISEE498 
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.

3 
ISEE561 
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.

3 
Professional Electives 
9  
Free Electives 
6  
LAS Immersion 2, 3 
6  
Total Semester Credit Hours  129 
Please see General Education Curriculum–Liberal Arts and Sciences (LAS) for more information.
(WI) 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 4+1 BS/MBA option
An accelerated 4+1 option is available for students who wish to earn a BS in industrial engineering and an MBA. The option is offered in conjunction with Saunders College of Business and allows students to obtain both degrees in five years of study.
Accelerated dual degree options
Accelerated dual degree options are for undergraduate students with outstanding academic records. Upon acceptance, wellqualified undergraduate students can begin graduate study before completing their BS degree, shortening the time it takes to earn both degrees. Students should consult an academic adviser for more information.
Industrial Engineering, BS degree/Industrial and Systems Engineering, ME degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
CHMG131 
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 workshopstyle problem sessions. Offered in traditional and online format.

3 
ISEE120 
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 coop experience in industrial engineering by exposing them to tools and concepts that are often encountered during early coop 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 handson applications and problemsolving related to topics covered in lectures.

3 
ISEE140 
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.

3 
MATH181 
ProjectBased Calculus I
This is the first in a twocourse 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.

4 
MATH182 
ProjectBased Calculus II
This is the second in a twocourse 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.

4 
PHYS211 
University Physics I
This is a course in calculusbased 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.

4 
YOPS10  RIT 365: RIT Connections 
0 
LAS Perspective 1 (ethical) 
3  
LAS Perspective 2 (artistic) 
3  
LAS Elective 
3  
First Year Writing (WI) 
3  
Wellness Education* 
0  
Second Year  
ISEE200 
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 objectoriented programming and graphical user interface.

3 
ISEE325 
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 twosample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate realworld science and engineering examples, including studies found in the literature.

3 
ISEE345 
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.

3 
ISEE499 
Coop (summer)
One semester of paid work experience in industrial engineering.

0 
MATH221 
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, vectorvalued 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 MATH219.

4 
MATH233 
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.

4 
MATH251 
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 realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.

3 
MECE200 
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.

4 
PHYS212 
University Physics II
This course is a continuation of PHYS211, 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.

4 
LAS Perspective 3 (global) 
3  
LAS Perspective 4 (social) 
3  
Wellness Education* 
0  
Third Year  
ISEE301 
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 decisionmaking. The course is delivered through lectures and a weekly laboratory where students learn to use stateoftheart software packages for modeling large discrete optimization problems.

4 
ISEE323 
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 computeraided layout design package is used.

3 
ISEE330 
Ergonomics and Human Factors (WI)
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.

4 
ISEE350 
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 coop experience is required.

3 
ISEE499 
Coop (fall, summer)
One semester of paid work experience in industrial engineering.

0 
MECE304 
Fundamentals in Materials Science
This course provides the student with an overview of structure, properties, and processing of metals, polymers, and ceramics. There is a particular emphasis on steels, but significant attention is given to nonferrous metals, ceramics, and polymers.

2 
MECE306 
Materials Science Applications Laboratory
A required laboratory course taken concurrently with MECE304 Fundamentals of Materials Science or MECE305 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.

1 
Fourth Year  
ISEE420 
Production Planning and Scheduling
A first course in mathematical modeling of productioninventory 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.

3 
ISEE499 
Coop (summer)
One semester of paid work experience in industrial engineering.

0 
ISEE510 
Systems Simulation
Computerbased simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A highlevel simualtion 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.

3 
ISEE560 
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 realworld quality control situations in engineering. Topics include process capability analysis, acceptance sampling, hypothesis testing and control charts. Contemporary topics such as sixsigma are included within the context of the course.

3 
ISEE760 
Design of Experiments
This course presents an indepth 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.

3 
Professional Electives 
12  
Free Electives 
6  
LAS Immersion 1, 2 
6  
Fifth Year  
ISEE497 
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.

3 
ISEE498 
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.

3 
ISEE561 
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.

3 
ISEE771 
Engineering of Systems I
This course covers the principles of product, manufacturing process and supply chain development in an integrated fashion. It will examine the methodologies and tools to systematically define, develop and produce worldclass products. Students will work on a project to put these methodologies and tools into practice. Major topics include: product planning and definition, characterization of user value, lean product development, product requirements and benchmarking, concept generation, design for "X" (manufacturing/ assembly/ service/ environment, etc.), sustainable design, design for lean six sigma.

3 
ISEE792 
Engineering Capstone
For the Master of Engineering programs in Industrial and Systems Engineering, Engineering Management, and Sustainable Engineering. Students must investigate a disciplinerelated 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.

3 
Graduate Electives 
12  
LAS Immersion 3 
3  
Total Semester Credit Hours  150 
Please see General Education Curriculum–Liberal Arts and Sciences (LAS) for more information.
(WI) 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/Industrial and Systems Engineering, MS degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
CHMG131 
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 workshopstyle problem sessions. Offered in traditional and online format.

3 
ISEE120 
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 coop experience in industrial engineering by exposing them to tools and concepts that are often encountered during early coop 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 handson applications and problemsolving related to topics covered in lectures.

3 
ISEE140 
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.

3 
MATH181 
ProjectBased Calculus I
This is the first in a twocourse 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.

4 
MATH182 
ProjectBased Calculus II
This is the second in a twocourse 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.

4 
PHYS211 
University Physics I
This is a course in calculusbased 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.

4 
YOPS10  RIT 365: RIT Connections 
0 
First Year Writing (WI) 
3  
LAS Perspective 1 (ethical) 
3  
LAS Perspective 2 (artistic) 
3  
LAS Elective 
3  
Wellness Education* 
0  
Second Year  
ISEE200 
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 objectoriented programming and graphical user interface.

3 
ISEE325 
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 twosample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate realworld science and engineering examples, including studies found in the literature.

3 
ISEE345 
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.

3 
ISEE499 
Coop (summer)
One semester of paid work experience in industrial engineering.

0 
MATH221 
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, vectorvalued 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 MATH219.

4 
MATH233 
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.

4 
MATH251 
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 realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.

3 
MECE200 
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.

4 
PHYS212 
University Physics II
This course is a continuation of PHYS211, 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.

4 
LAS Perspective 3 (global) 
3  
LAS Perspective 4 (social) 
3  
Wellness Education* 
0  
Third Year  
ISEE301 
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 decisionmaking. The course is delivered through lectures and a weekly laboratory where students learn to use stateoftheart software packages for modeling large discrete optimization problems.

4 
ISEE323 
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 computeraided layout design package is used.

3 
ISEE330 
Ergonomics and Human Factors
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.

4 
ISEE350 
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 coop experience is required.

3 
ISEE499 
Coop (fall, summer)
One semester of paid work experience in industrial engineering.

0 
MECE304 
Fundamentals of Materials Science
This course provides the student with an overview of structure, properties, and processing of metals, polymers, and ceramics. There is a particular emphasis on steels, but significant attention is given to nonferrous metals, ceramics, and polymers.

2 
MECE306 
Materials Science and Applications Laboratory
A required laboratory course taken concurrently with MECE304 Fundamentals of Materials Science or MECE305 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.

1 
Fourth Year  
ISEE420 
Production Planning and Scheduling
A first course in mathematical modeling of productioninventory 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.

3 
ISEE499 
Coop (summer)
One semester of paid work experience in industrial engineering.

0 
ISEE510 
Systems Simulation
Computerbased simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A highlevel simualtion 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.

3 
ISEE560 
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 realworld quality control situations in engineering. Topics include process capability analysis, acceptance sampling, hypothesis testing and control charts. Contemporary topics such as sixsigma are included within the context of the course.

3 
ISEE760 
Design of Experiments
This course presents an indepth 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.

3 
ISEE795 
Graduate Seminar I
The first in a two course sequence that introduces students to research methods in industrial engineering and presents the state of the art in industrial engineering research. The twocourse sequence is designed to promote discussion and interaction on IE research topics and to present research methods such as conducting critical reviews of research literature, initiating background research on a thesis topic, and preparing a formal thesis proposal.

0 
ISEE796 
Graduate Seminar II
The second in a two course sequence that introduces students to research methods in industrial engineering and presents the state of the art in industrial engineering research. The twocourse sequence is designed to promote discussion and interaction on IE research topics and to present research methods such as conducting critical reviews of research literature, initiating background research on a thesis topic, and preparing a formal thesis proposal.

0 
Professional Electives 
12  
Free Electives 
6  
LAS Immersion 1, 2 
6  
Fifth Year  
ISEE497 
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.

3 
ISEE498 
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.

3 
ISEE561 
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.

3 
ISEE771 
Engineering of Systems I
This course covers the principles of product, manufacturing process and supply chain development in an integrated fashion. It will examine the methodologies and tools to systematically define, develop and produce worldclass products. Students will work on a project to put these methodologies and tools into practice. Major topics include: product planning and definition, characterization of user value, lean product development, product requirements and benchmarking, concept generation, design for "X" (manufacturing/ assembly/ service/ environment, etc.), sustainable design, design for lean six sigma.

3 
ISEE790 
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 stateoftheart 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.

6 
Graduate Electives 
9  
LAS Immersion 3 
3  
Total Semester Credit Hours  150 
Please see General Education Curriculum–Liberal Arts and Sciences (LAS) for more information.
(WI) 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, ME degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
CHMG131 
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 workshopstyle problem sessions. Offered in traditional and online format.

3 
ISEE120 
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 coop experience in industrial engineering by exposing them to tools and concepts that are often encountered during early coop 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 handson applications and problemsolving related to topics covered in lectures.

3 
ISEE140 
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.

3 
MATH181 
Projectbased Calculus I
This is the first in a twocourse 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.

4 
MATH182 
Projectbased Calculus II
This is the second in a twocourse 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.

4 
PHYS211 
University Physics I
This is a course in calculusbased 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.

4 
YOPS10  RIT 365: RIT Connections 
0 
LAS Perspective 1 (ethical) 
3  
LAS Perspective 2 (artistic) 
3  
First Year Writing (WI) 
3  
LAS Elective 
3  
Wellness Education* 
0  
Second Year  
ISEE200 
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 objectoriented programming and graphical user interface.

3 
ISEE325 
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 twosample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate realworld science and engineering examples, including studies found in the literature.

3 
ISEE345 
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.

3 
ISEE499 
Coop (summer)
One semester of paid work experience in industrial engineering.

0 
MATH221 
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, vectorvalued 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 MATH219.

4 
MATH233 
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.

4 
MATH251 
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 realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.

3 
MECE200 
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.

4 
PHYS212 
University Physics II
This course is a continuation of PHYS211, 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.

4 
LAS Perspective 3 (global) 
3  
LAS Perspective 4 (social) 
3  
Wellness Education* 
0  
Third Year  
ISEE301 
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 decisionmaking. The course is delivered through lectures and a weekly laboratory where students learn to use stateoftheart software packages for modeling large discrete optimization problems.

4 
ISEE323 
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 computeraided layout design package is used.

3 
ISEE330 
Ergonomics and Human Factors (WI)
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.

4 
ISEE350 
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 coop experience is required.

3 
ISEE499 
Coop (fall, summer)
One semester of paid work experience in industrial engineering.

0 
MECE304 
Fundamentals of Materials Science
This course provides the student with an overview of structure, properties, and processing of metals, polymers, and ceramics. There is a particular emphasis on steels, but significant attention is given to nonferrous metals, ceramics, and polymers.

2 
MECE306 
Materials Science and Applications Laboratory
A required laboratory course taken concurrently with MECE304 Fundamentals of Materials Science or MECE305 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.

1 
Fourth Year  
ISEE420 
Production Planning and Scheduling
A first course in mathematical modeling of productioninventory 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.

3 
ISEE499 
Coop (summer)
One semester of paid work experience in industrial engineering.

0 
ISEE510 
Systems Simulation
Computerbased simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A highlevel simualtion 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.

3 
ISEE560 
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 realworld quality control situations in engineering. Topics include process capability analysis, acceptance sampling, hypothesis testing and control charts. Contemporary topics such as sixsigma are included within the context of the course.

3 
Professional Electives 
12  
Free Electives 
6  
LAS Immersion 1, 2 
6  
Fifth Year  
ISEE497 
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.

3 
ISEE498 
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.

3 
ISEE561 
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.

3 
ISEE771 
Engineering of Systems I
This course covers the principles of product, manufacturing process and supply chain development in an integrated fashion. It will examine the methodologies and tools to systematically define, develop and produce worldclass products. Students will work on a project to put these methodologies and tools into practice. Major topics include: product planning and definition, characterization of user value, lean product development, product requirements and benchmarking, concept generation, design for "X" (manufacturing/ assembly/ service/ environment, etc.), sustainable design, design for lean six sigma.

3 
ISEE785 
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.

3 
ISEE786 
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.

3 
ISEE792 
Engineering Capstone
For the Master of Engineering programs in Industrial and Systems Engineering, Engineering Management, and Sustainable Engineering. Students must investigate a disciplinerelated 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.

3 
MECE629 
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.

3 
LAS Immersion 3 
3  
Technology Elective 
3  
Social Context Elective 
3  
Total Semester Credit Hours  150 
Please see General Education Curriculum–Liberal Arts and Sciences (LAS) for more information.
(WI) 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  
CHMG131 
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 workshopstyle problem sessions. Offered in traditional and online format.

3 
ISEE120 
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 coop experience in industrial engineering by exposing them to tools and concepts that are often encountered during early coop 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 handson applications and problemsolving related to topics covered in lectures.

3 
ISEE140 
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.

3 
MATH181 
Projectbased Calculus I
This is the first in a twocourse 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.

4 
MATH182 
Projectbased Calculus II
This is the second in a twocourse 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.

4 
PHYS211 
University Physics I
This is a course in calculusbased 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.

4 
YOPS10  RIT 365: RIT Connections 
0 
First Year Writing (WI) 
3  
LAS Perspective 1 (ethical) 
3  
LAS Perspective 2 (artistic) 
3  
LAS Elective 
3  
Wellness Education* 
0  
Second Year  
ISEE200 
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 objectoriented programming and graphical user interface.

3 
ISEE325 
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 twosample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate realworld science and engineering examples, including studies found in the literature.

3 
ISEE345 
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.

3 
ISEE499 
Coop (summer)
One semester of paid work experience in industrial engineering.

0 
MATH221 
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, vectorvalued 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 MATH219.

4 
MATH233 
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.

4 
MATH251 
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 realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.

3 
MECE200 
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.

4 
PHYS212 
University Physics II
This course is a continuation of PHYS211, 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.

4 
LAS Perspective 3 (global) 
3  
LAS Perspective 4 (social) 
3  
Wellness Education* 
0  
Third Year  
ISEE301 
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 decisionmaking. The course is delivered through lectures and a weekly laboratory where students learn to use stateoftheart software packages for modeling large discrete optimization problems.

4 
ISEE323 
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 computeraided layout design package is used.

3 
ISEE330 
Ergonomics and Human Factors (WI)
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.

4 
ISEE350 
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 coop experience is required.

3 
ISEE499 
Coop Education (fall, summer)
One semester of paid work experience in industrial engineering.

0 
MECE304 
Fundamentals of Materials Science
This course provides the student with an overview of structure, properties, and processing of metals, polymers, and ceramics. There is a particular emphasis on steels, but significant attention is given to nonferrous metals, ceramics, and polymers.

2 
MECE306 
Materials Science and Applications Laboratory
A required laboratory course taken concurrently with MECE304 Fundamentals of Materials Science or MECE305 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.

1 
Fourth Year  
ISEE420 
Production Planning and Scheduling
A first course in mathematical modeling of productioninventory 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.

3 
ISEE499 
Coop (summer)
One semester of paid work experience in industrial engineering.

0 
ISEE510 
Systems Simulation
Computerbased simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A highlevel simualtion 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.

3 
ISEE560 
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 realworld quality control situations in engineering. Topics include process capability analysis, acceptance sampling, hypothesis testing and control charts. Contemporary topics such as sixsigma are included within the context of the course.

3 
ISEE795 
Graduate Seminar I
The first in a two course sequence that introduces students to research methods in industrial engineering and presents the state of the art in industrial engineering research. The twocourse sequence is designed to promote discussion and interaction on IE research topics and to present research methods such as conducting critical reviews of research literature, initiating background research on a thesis topic, and preparing a formal thesis proposal.

0 
ISEE796 
Graduate Seminar II
The second in a two course sequence that introduces students to research methods in industrial engineering and presents the state of the art in industrial engineering research. The twocourse sequence is designed to promote discussion and interaction on IE research topics and to present research methods such as conducting critical reviews of research literature, initiating background research on a thesis topic, and preparing a formal thesis proposal.

0 
Professional Electives 
9  
Free Electives 
6  
Technology Elective 
3  
Social Context Elective 
3  
LAS Immersion 1, 2 
6  
Fifth Year  
ISEE497 
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.

3 
ISEE498 
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.

3 
ISEE561 
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.

3 
ISEE771 
Engineering of Systems I
This course covers the principles of product, manufacturing process and supply chain development in an integrated fashion. It will examine the methodologies and tools to systematically define, develop and produce worldclass products. Students will work on a project to put these methodologies and tools into practice. Major topics include: product planning and definition, characterization of user value, lean product development, product requirements and benchmarking, concept generation, design for "X" (manufacturing/ assembly/ service/ environment, etc.), sustainable design, design for lean six sigma.

3 
ISEE785 
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.

3 
ISEE786 
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.

3 
ISEE790 
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 stateoftheart 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.

6 
MECE629 
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.

3 
LAS Immersion 3 
3  
Total Semester Credit Hours  150 
Please see General Education Curriculum–Liberal Arts and Sciences (LAS) for more information.
(WI) 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  
CHMG131 
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 workshopstyle problem sessions. Offered in traditional and online format.

3 
ISEE120 
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 coop experience in industrial engineering by exposing them to tools and concepts that are often encountered during early coop 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 handson applications and problemsolving related to topics covered in lectures.

3 
ISEE140 
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.

3 
MATH181 
Projectbased Calculus I
This is the first in a twocourse 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.

4 
MATH182 
Projectbased Calculus II
This is the second in a twocourse 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.

4 
PHYS211 
University Physics I
This is a course in calculusbased 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.

4 
YOPS10  RIT 365: RIT Connections 
0 
First Year Writing (WI) 
3  
LAS Perspective 1 (ethical) 
3  
LAS Perspective 2 (artistic) 
3  
LAS Elective 
3  
Wellness Education* 
0  
Second Year  
ISEE200 
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 objectoriented programming and graphical user interface.

3 
ISEE325 
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 twosample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate realworld science and engineering examples, including studies found in the literature.

3 
ISEE345 
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.

3 
ISEE499 
Coop (summer)
One semester of paid work experience in industrial engineering.

0 
MATH221 
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, vectorvalued 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 MATH219.

4 
MATH233 
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.

4 
MATH251 
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 realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.

3 
MECE200 
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.

4 
PHYS212 
University Physics II
This course is a continuation of PHYS211, 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.

4 
LAS Perspective 3 (global) 
3  
LAS Perspective 4 (social) 
3  
Wellness Education* 
0  
Third Year  
ISEE301 
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 decisionmaking. The course is delivered through lectures and a weekly laboratory where students learn to use stateoftheart software packages for modeling large discrete optimization problems.

4 
ISEE323 
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 computeraided layout design package is used.

3 
ISEE330 
Ergonomics and Human Factors (WI)
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.

4 
ISEE350 
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 coop experience is required.

3 
ISEE499 
Coop (fall, summer)
One semester of paid work experience in industrial engineering.

0 
MECE304 
Fundamentals of Materials Science
This course provides the student with an overview of structure, properties, and processing of metals, polymers, and ceramics. There is a particular emphasis on steels, but significant attention is given to nonferrous metals, ceramics, and polymers.

2 
MECE306 
Materials Science and Applications Laboratory
A required laboratory course taken concurrently with MECE304 Fundamentals of Materials Science or MECE305 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.

1 
Fourth Year  
ISEE420 
Production Planning and Scheduling
A first course in mathematical modeling of productioninventory 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.

3 
ISEE499 
Coop (summer)
One semester of paid work experience in industrial engineering.

0 
ISEE510 
Systems Simulation
Computerbased simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A highlevel simualtion 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.

3 
ISEE560 
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 realworld quality control situations in engineering. Topics include process capability analysis, acceptance sampling, hypothesis testing and control charts. Contemporary topics such as sixsigma are included within the context of the course.

3 
ISEE760 
Design of Experiments
This course presents an indepth 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.

3 
Professional Electives 
9  
Free Electives 
6  
Professional Elective/Engineering Management Elective 
3  
LAS Immersion 1, 2 
6  
Fifth Year  
ACCT794 
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.

3 
ISEE497 
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.

3 
ISEE498 
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.

3 
ISEE561 
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.

3 
ISEE750 
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 projectbased learning and continuous improvement.

3 
ISEE771 
Engineering of Systems I
This course covers the principles of product, manufacturing process and supply chain development in an integrated fashion. It will examine the methodologies and tools to systematically define, develop and produce worldclass products. Students will work on a project to put these methodologies and tools into practice. Major topics include: product planning and definition, characterization of user value, lean product development, product requirements and benchmarking, concept generation, design for "X" (manufacturing/ assembly/ service/ environment, etc.), sustainable design, design for lean six sigma.

3 
ISEE792 
Engineering Capstone
For the Master of Engineering programs in Industrial and Systems Engineering, Engineering Management, and Sustainable Engineering. Students must investigate a disciplinerelated 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.

3 
Engineering Management Electives 
6  
LAS Immersion 3 
3  
Total Semester Credit Hours  150 
Please see General Education Curriculum–Liberal Arts and Sciences (LAS) for more information.
(WI) 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  
CHMG131 
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 workshopstyle problem sessions. Offered in traditional and online format.

3 
ISEE120 
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 coop experience in industrial engineering by exposing them to tools and concepts that are often encountered during early coop 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 handson applications and problemsolving related to topics covered in lectures.

3 
ISEE140 
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.

3 
MATH181 
Projectbased Calculus I
This is the first in a twocourse 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.

4 
MATH182 
Projectbased Calculus II
This is the second in a twocourse 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.

4 
PHYS211 
University Physics I
This is a course in calculusbased 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.

4 
YOPS10  RIT 365: RIT Connections 
0 
LAS Perspective 1 (ethical) 
3  
LAS Perspective 2 (artistic) 
3  
First Year Writing (WI) 
3  
LAS Elective 
3  
Wellness Education* 
0  
Second Year  
ISEE200 
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 objectoriented programming and graphical user interface.

3 
ISEE325 
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 twosample inference. The remainder of the class will be spent on concepts of design and analysis of experiments. Lectures and assignments will incorporate realworld science and engineering examples, including studies found in the literature.

3 
ISEE345 
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.

3 
ISEE499 
Coop (summer)
One semester of paid work experience in industrial engineering.

0 
MATH221 
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, vectorvalued 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 MATH219.

4 
MATH233 
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.

4 
MATH251 
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 realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.

3 
MECE200 
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.

4 
PHYS212 
University Physics II
This course is a continuation of PHYS211, 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.

4 
LAS Perspective 3 (global) 
3  
LAS Perspective 4 (social) 
3  
Third Year  
ISEE301 
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 decisionmaking. The course is delivered through lectures and a weekly laboratory where students learn to use stateoftheart software packages for modeling large discrete optimization problems.

4 
ISEE323 
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 computeraided layout design package is used.

3 
ISEE330 
Ergonomics and Human Factors
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.

4 
ISEE350 
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 coop experience is required.

3 
ISEE499 
Coop (fall, summer)
One semester of paid work experience in industrial engineering.

0 
MECE304 
Fundamentals of Materials Science
This course provides the student with an overview of structure, properties, and processing of metals, polymers, and ceramics. There is a particular emphasis on steels, but significant attention is given to nonferrous metals, ceramics, and polymers.

2 
MECE306 
Materials Science and Applications Lab
A required laboratory course taken concurrently with MECE304 Fundamentals of Materials Science or MECE305 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.

1 
Fourth Year  
ISEE420 
Production Planning and Scheduling
A first course in mathematical modeling of productioninventory 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.

3 
ISEE460  Applied Statistical Quality Control 
3 
ISEE499 
Coop (summer)
One semester of paid work experience in industrial engineering.

0 
ISEE510 
Systems Simulation
Computerbased simulation of dynamic and stochastic systems. Simulation modeling and analysis methods are the focus of this course. A highlevel simualtion 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.

3 
PUBL701 
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.

3 
PUBL702 
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 multiattribute decision making. Students will apply these tools to contemporary public policy decision making at the local, state, federal, and international levels.

3 
LAS Immersion 1, 2, 3 
9  
Professional Elective 
3  
Public Policy Elective 
3  
Fifth Year  
ISEE497 
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.

3 
ISEE498 
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.

3 
ISEE561 
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.

3 
PUBL700 
Readings in Public Policy
An indepth 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.

3 
PUBL703 
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.

3 
STSO710 
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.

3 
Free Elective 
3  
Public Policy Electives 
6  
Professional Elective 
3  
Choose one of the following:  6 

PUBL790 
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.


PUBL798  Comprehensive Exam plus 2 Graduate Electives 

Total Semester Credit Hours  150 
Please see General Education Curriculum–Liberal Arts and Sciences (LAS) for more information.
(WI) 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.
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.
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, 34 years of mathematics, 23 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 precalculus or above
 Chemistry and physics required
Transfer Admission
Transfer course recommendations without associate degree
Preengineering courses such as calculus, calculusbased physics, chemistry, and liberal arts.
Appropriate associate degree programs for transfer
AS degree in engineering science
Learn about admissions and financial aid
Additional Info
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, OrthoMcNeil 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 coop 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 supplyordering systems
 Improve processes in a hospital
 Evaluate waiting time and space utilization in an amusement park