Computer Programming for Engineers
Credits: 2; Prereq: MAC 2312.
Computer programming and the use of computers to solve engineering and mathematical problems. Emphasis will be placed on applying problem solving skills. This intensive course is specifically directed towards those students who are pursuing technical careers in fields employing a reasonably high degree of mathematics. The programming language used will depend on the demands of the departments in the college. In one semester, several languages may be taught, no more than one per section. Students required to learn a specific language must enroll in the correct section. (MR)
Computer Programming for Engineers Laboratory
Optional laboratory course in conjunction with CGS 2421. Required for ISE majors. (MR)
Introduction to Industrial and Systems Engineering
Credits: 2; Coreq: ENC 2210 (students with an AA degree do not require this as a coreq. Please see an ISE program assistant for section number).
An introduction to and overview of the profession, including career planning, professionalism and communication, ethics, teamwork, industry site visits, industrial speakers, and selected solution methods for problems in coordination and planning.
Credits: 3; Prereq: ENC 2210 or ENC 3250, EIN 3101C and STA 4321; Coreq: STA 4322.
The analysis, design and maintenance of work methods. Study of time standards and work sampling. Equipment and workspace design and its impact on human performance.
Credits: 3; Prereq: EIN 4354 and PHY 2049.
Introduction to energy conservation. Supply-demand data, energy economics, investment analysis and energy legislation. Audits, waste heat recovery, cogeneration and computerized energy management systems.
Credits: 3; Prereq: EIN 3314C, EIN 4365, ESI 4221C and ESI 4523; Coreq: EIN 4333.
Integration of industrial and systems engineering methodologies with emphasis on methods of successful implementation. A project and case-study oriented course.
Inventory and Supply Chain Systems
Credits: 3; Prereq: ESI 4312, STA 4321; Coreq: ESI 4313.
This course develops students' analytic abilities to formulate and solve inventory and logistics problems faced by today's firms. Students learn to take a comprehensive view of complex inventory and supply-chain systems. Additionally, students develop abilities to model, optimize and design such systems.
Credits: 3; Prereq: upper-division classification in engineering.
Basic principles and applications of economic decision-making between alternatives encountered in engineering systems projects. The analysis will include methodologies of economics and finance in addition to engineering fundamentals.
Facilities Planning and Material Handling
Credits: 3; Prereq: EIN 3101C, ENC 2210 or ENC 3250 or ENC 3254, EML 2023 or equivalent; Coreq: EIN 4354.
Principles and methods for analyzing and designing plant facilities. Selected topics include systematic and computerized layout planning, warehouse design, materials handling and automated storage retrieval systems.
Credits: 3. Prereq: ESI 4312, STA 4321.
Design of flow line, cellular and flexible manufacturing systems. Design and control of lean manufacturing systems. Continuous improvement, small lot production, setup-time reduction, equipment improvement and maintenance. Principles and control of push and pull manufacturing systems. Production planning and operations scheduling.
Special Problems in Industrial and Systems Engineering
Credits: 1 to 4; can be repeated up 9 credits.
Problems and systems studies associated with honors programs representing undergraduate research. Selected advanced topics including new developments and techniques in industrial and systems engineering.
Integrated Product and Process Design 1
Credits: 3; Prereq: EIN 4354; Coreq: EIN 4365 and ESI 4221C.
The first part of a two-course sequence in which multidisciplinary teams of engineering and business students partner with industry sponsors to design and build authentic products and processes-on time and within budget. Working closely with industry liaison engineers and a faculty coach, students gain practical experience in teamwork and communication, problem solving and engineering design, and develop leadership, management and people skills.
Integrated Product and Process Design 2
Credits: 3; Prereq: EIN 4912.
The second part of EIN 4912-4913 sequence.
Industrial and Systems Engineering Seminar
Credits: 1; Prereq: junior or senior standing in industrial and systems engineering.
Lectures and discussions on general and specific engineering problems. Individual investigations and research reports on assigned topics. Orientation for an industrial career. (S-U)
Practical Work in Industrial and Systems Engineering
Credits: 1 to 3; maximum 3 credits. Prereq: 4EG standing.
One term of industrial employment, including extra work according to a preapproved outline. Practical engineering work under industrial supervision as set forth in the College of Engineering regulations.
Credits: 3; Prereq: STA 4321; Coreq: STA 4322.
Factors affecting variation in product quality. The use of control charts to evaluate and control manufacturing processes. Techniques for acceptance and reliability testing. Laboratory exercises illustrate the operation and control of manufacturing processes and hazard function. Typical failure distributions, redundant systems, models of repair and maintenance.
Credits: 3; Prereq: C++ computer programming, matrix and numerical methods.
Introduction to the use of linear decision models, particularly linear programming and related decision-analysis optimization software, to aid in the analysis and solution of complex, large-scale decision problems. Consideration of related network modeling concepts.
Credits: 3; Prereq: ESI 4312 and STA 4321.
Dynamic programming and optimization. Markov processes and queuing theory. Network analysis. Applications.
Decision Support Systems for Industrial and Systems Engineers
Credits: 3; Prereq: a computer programming course in C++ or Java.
Applications of decision support systems in industrial and systems engineering; developing and implementing decision support systems arising in industrial and systems engineering using popular database management and spreadsheet software.
Web Based Decision Support Systems for Industrial and Systems Engineers
Credits: 3; Prereq: ESI 4312, a computer programming course in C++ or instructor permission.
Introduction to the Internet and E-commerce; Internet tools and technologies necessary for the development of Web-based decision support systems; Designing and implementing Web-based decision support systems arising in the practice of industrial and systems engineering using popular software packages.
Credits: 3; Prereq: STA 4321.
Simulation methodology and languages (such as GPSS, General Purpose Simulation System). Design and analysis of simulation experiments. Applications to the solution of industrial and service system problems.
Matrix and Numerical Methods in Systems Engineering
Credits: 4; Prereq: MAC 2313, MAP 2302.
Theory and application of vector, matrix and other numerical methods to systems problems. Simultaneous linear equations, characteristic values, quadratic forms, error analysis, use of series, curve fitting, nonlinear equations, discrete methods. The laboratory sessions will emphasize numerical solutions using MATLAB.
Credits: 1; maximum 3 credits.
Practical engineering work under industrial supervision, as set forth in the College of Engineering regulations. (S-U)