Summer – 2014 Graduate Courses – Online

This page contains a list of Summer 2014 online courses being offered at the graduate level in the College of Technology. Select the title of the course to display the course description. To register please contact:

Arleen Guard, Graduate Program Coordinator, at 219-989-2966,

Courses Offered:

IET 51000            Product Development Optimization

IT 57100              Project Management in Industry & Technology

OLS 55000           Managing Diversity

TECH 64600        Analysis & Research of Industry & Technology



Graduate Courses of Summer – 2014 Online – Descriptions

IET 51000 – Product Development Optimization

An efficient statistical procedure for planning a series of experiments such that the data obtained can be analyzed to yield valid and objective conclusions. It can be used to screen a set of variables to identify those with most effect, optimize an experimental process or retrospectively analyze a set of experimental data. Both the design and analysis steps require the application of techniques for statistical data analysis.

IT 57100 – Project Management in Industry & Technology

The factors influencing decisions during the initiation, implementation, and termination of industrial and manufacturing projects are examined. Students work as project teams, using project management tools to develop implementation strategies.

OLS 55000 – Managing Diversity

This course is a senior undergraduate and graduate course designed to provide students with the comprehensive study of contemporary diversity issues facing supervisors and human resource professionals. Issues relevant to supervisors and human resources professionals are discussed at a level where students will be able to manage a diverse workforce and develop policies and practices to assist organizations to avoid problems and litigation.    

TECH 64600 – Analysis & Research of Industry & 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 industrial, technical, and human resource development environments.