Graduate Courses

Please refer to the Purdue Course Schedule for a current listing of Polytechnic Institute (former College of Technology) graduate course listings.

 

Fall 2016 Courses

IT 50700  Measurement and Evaluation in Industry and Technology - An introduction to measurement strategies in industrial, technical, and human resource development environments. The evaluation of measurement outcomes will be the primary focus of the course. Typically offered Fall Spring Summer. 3.000 Credit hours, CRN 15683

IT 53500  Global Supply Chain Management - The objective of this course is to provide in-depth knowledge of global supply chain management and its application in industries. This course explores supply chain management, expanding beyond the linkage between producer and distributor to include other enterprises in the product life cycle, beginning with concept design and ending in disposal. Learning methodologies include lecture, case study, and collaborative student group activities in applied research. Permission of department required. Typically offered Fall. 3 Credit hours, CRN 18680

IT 54500  Biometrics Technology and Applications - Examines biometrics technology as it relates to security, access control, and the authentication of individuals. The course will examine biometric technologies including iris, face, finger, hand geometry, dynamic signature verification, skin print analysis, and voice recognition. Permission of instructor required. Typically offered Summer Fall Spring. 3 Credit hours, CRN 22272

IT 59000 Special Problems in Industrial Technology - Power, Energy, Onshore and Afloat

 

OLS 57700  Organization and Administration of Training and Development - The function and management of training and development in the world of work. Typically offered Fall Spring Summer. 3 Credit hours, CRN 16099

 

TECH 58100  Workshop in Technology - Technology Realization Seminar

TECH 64600  Analysis of Research in Industry and Technology - Analysis of research and evaluation of research reports. Emphasis on understanding the application of fundamental statistical methods in design and interpretation of research findings in