|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
Heuristic Algorithms and applications to classical and real life problems. Justification and logic of heuristic algorithms. Greedy algorithms, Steepest Ascent, Numerical optimization, Simulated Annealing, Taboo Search, Cross entropy optimization, TSP, Set covering, Set partitioning. Prerequisite: Graduate standing Offered: Fall
-
3.00 Credits
This course introduces students to data mining focusing on business enterprise data. Major topics covered are data integration, data cleaning, classification algorithms, clustering, regression and neural networks. Prerequisite: Graduate standing and undergraduate statistics course Offered: Fall
-
3.00 Credits
Students design systems to solve a problem or problems typical of those encountered by practicing industrial engineers. Students work in teams to formulate issues, propose solutions, and communicate results in formal written and oral presentations. Prerequisite: Graduate standing and undergraduate statistics course Offered: Other
-
3.00 Credits
Convey an appreciation of the social and economic impact of industrial accidents. Provide general rules and checklist to help design and maintain a safe work place. Introduces the role of government and voluntary standards in process and product design safety. Prerequisite: Graduate standing and undergraduate statistics course Offered: Spring
-
3.00 Credits
This is introduction to virtual reality research course, which focuses on the emerging interdisciplinary field of virtual reality and haptic technology. Haptics is a research technology that will revolutionize all aspects of Information Technology as well as impacting in the general area of human machine interface design. The course will discuss the virtual reality architecture, the haptic (touch) software and hardware, and the virtual reality applications in design and manufacturing, medical simulation, education and training, etc. Prerequisite: C/C++ programming required, Graphics programming experience preferred but not required. (will cover the graphic basics in the course). Graduate standing and undergraduate statistics course. Offered: Other
-
3.00 Credits
To provide students in engineering with knowledge about the design and implementation of engineering applications using database technology. Examples will be drawn from manufacturing and production systems. Prerequisite: It is assumed that students have had a programming course and are familiar with fundamental programming constructs. Visual Basic for Application is used in this course. Prerequisite: Graduate standing and undergraduate statistics course Offered: Other
-
3.00 Credits
To provide students in engineering with knowledge about the industrial automation and process control in the manufacturing industry: control system, PLC, sensor and actuator, auto-id, flexible manufacturing system, assembly line and automatic inspection. Prerequisite: Graduate standing Offered: Other
-
3.00 Credits
Methods of dealing Statistical Quality Control Problems such as control charts, test, tests of hypothesis, analysis of variance, regression analysis and design of experiments will be employed using one or more software packages. Emphasis will be placed on problem definition, model selection and interpretation of output for decision making and process improvements. Prerequisite: Graduate standing and undergraduate statistics course Offered: Other
-
3.00 Credits
This course introduces students to multi-objective optimization and the techniques used to solve optimization problems. Applications will be drawn from the literature and real cases. Offered: other
-
0.00 - 1.00 Credits
Offered: Other
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.
|
|
|