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Course Criteria
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1.00 Credits
Physiological and biomechanical aspects of human performance. 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. Topics include repetitive motion disorders, manual materials handling, hand tool design and selection, and job analysis. (0307-361 or 1016-351 or permission of instructor) Class 3, Lab 1, Credit 4 (W)
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1.00 Credits
A basic course in quantitative models on layout, material handling and warehousing. Topics include product/process analysis, fl ow of materials, material handling systems, warehousing, and layout design. Computer-aided layout design package (e.g., Factory CAD, Flow, Plan) is used. (0303-401 or permission of instructor) Class 3, Lab 1, Credit 4 (W)
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4.00 Credits
Development of the fundamental engineering management principles of industrial enterprise, including an introduction to project management. Internal organization as well as general economic conditions are considered. Business and project planning are also performed. Class 4, Credit 4 (W, S)
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4.00 Credits
A design course in production control. Each student is asked to design, test and implement a complete production control system for an operating plant. Professional elective. (0303-402) Class 4, Credit 4
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4.00 Credits
Queuing theory will be introduced. Modeling and computer simulation of stochastic and dynamic manufacturing and service systems are emphasized. A high level simulation language (e.g., ARENA) will be used to model and examine system performance. (0303-302, 401; corequisite 0307-362 or equivalent) Class 4, Credit 4 (F)
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4.00 Credits
An applied approach to statistical quality control utilizing theoretical tools acquired in other math and statistics courses. Heavy emphasis on understanding and applying statistical analysis methods in real-world quality control situations in engineering. Topics include hypothesis testing and control charts. Contemporary topics such as six-sigma are included within the context of the course. (1016-351, 352 or 0307-361, 362) Class 4, Credit 4 (F)
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4.00 Credits
An applied approach to linear regression analysis utilizing theoretical tools acquired in other math and statistics courses. Heavy emphasis on understanding and applying statistical analysis methods in real-world situations in engineering. Topics include analysis of variance and regression. (1016-331, 0307-361, 362 or 1016-351, 352 or equivalent) Class 4, Credit 4 (S)
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1.00 Credits
Psychological and cognitive aspects of human performance. The human information processing capabilities are studied to enable students to design work places, procedures, products and processes that are consistent with human capabilities and limitations. Topics include the human sensory, memory, attention and cognitive processes; display and control design principles; as well as human computer interface design. (0307-362 or 1016-352 or permission of instructor) Class 3, Lab 1, Credit 4 (S)
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4.00 Credits
Time value of money, methods of comparing alternatives, depreciation and depletion, income tax consideration and capital budgeting. Course provides a foundation for engineers to effectively analyze engineering projects with prespect to fi nancial considerations. Class 4, Credit 4 (F, W, S)
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1.00 Credits
This course will provide an introduction to concepts and techniques in the design and analysis of manufacturing and service systems. At the end of the quarter, the student will be able to assess and analyze the performance of a given system as well as to provide a framework for system redesign and improvement. Modern aspects such as lean manufacturing are included within the context of the course. (0303-401, 402, or permission of instructor) Class 3, Lab 1, Credit 4 (S)
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