|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
A work experience for the student lacking professional industrial and systems engineering experience. The learning experience is organized and supervised cooperatively by the department and selected organizations. A wage-earning position for a minimum of six 40-hour work weeks, or 240 hours, must be obtained with the guidance and approval of the department's faculty coordinator. The student and faculty coordinator must prepare a statement of educational objectives that will become part of the student's record. A report that describes the learning experience is also required to be placed in the student's recordPrerequisites & Notes PRQ: Junior standing and consent of major adviser and supervising instructor. Credits: 3
-
3.00 Credits
Introduction to the principles of human-machine systems, human error, auditory systems, and visual systems. Analysis of psychomotor skills, speech communications, and control-display relationships. Prerequisites & Notes PRQ: PHYS 253 and ISYE 335 or STAT 350 or UBUS 223. Credits: 3
-
3.00 Credits
Importance of quality; statistical concepts relevant to process control; control charts for variables and attributes; process capability analysis; acceptance sampling plans for variables and attributes. Prerequisites & Notes PRQ: ISYE 334 or ISYE 335 or STAT 350 or UBUS 223. Credits: 3
-
3.00 Credits
Reliability analysis for the design, implementation, and operation of engineering systems, processes, and products. Fault trees, lifetime distributions, life testing, availability, and maintainability. Prerequisites & Notes PRQ: ISYE 334 or ISYE 335 or STAT 350. Credits: 3
-
3.00 Credits
Statistical techniques for designing and analyzing relationships among variables in engineering processes. Engineering applications of analysis of variance (ANOVA), factorial design, and fractional factorial design. Prerequisites & Notes PRQ: IENG 334 and IENG 335. Credits: 3
-
3.00 Credits
Statistical techniques for modeling, designing, and investigating relationships among variables in engineering processes. Engineering applications of linear regression with one predictor variable, multiple linear regression, and forecasting and time series analysis. Prerequisites & Notes PRQ: ISYE 334 and ISYE 335. Credits: 3
-
3.00 Credits
The Six Sigma formula for success is a mixture of hard skills, soft skills, tools, mentoring, DMAIC, and the Black Belt organization. Introduction to these areas and foundation on how to implement them. Focus on robust foundational problem solving techniques that enhance the functional role of individuals to quickly solve complex problems. Cost, quality, and throughput improvement will be addressed. Prerequisites & Notes PRQ: ISYE 335 or STAT 350, or UBUS 223. Credits: 3
-
3.00 Credits
Analysis, design, and management of production systems. Topics include productivity measurement, forecasting techniques, project planning, line balancing, inventory systems, aggregate planning, master scheduling, operations scheduling, and modern approaches to production management such as just-in-time production. Prerequisites & Notes PRQ: ISYE 335 or UBUS 223 or STAT 350. CRQ: ISYE 370 or OMIS 327. Credits: 3
-
3.00 Credits
Integrated approach to the management of engineering and high-technology projects that addresses the entire life cycle of the project including project initiation, organization, planning, implementation, control, and termination. Focus on human resources and the use of quantitative methods for project evaluation, scheduling, resource allocation, cost control, contract selection, risk management, and project quality management. Prerequisites & Notes PRQ: MATH 230 and STAT 208 or equivalent, or consent of department. Credits: 3
-
3.00 Credits
Introduction to modern manufacturing systems with a focus on integrating various functions and resources. Topics include group technology, flexible manufacturing systems, and production systems for manufacturing support, data integration in computer-integrated manufacturing, and lean manufacturing. Prerequisites & Notes PRQ: MEE 331 or ISYE 350. Credits: 3
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.
|
|
|