Data Analytics for Engr. Mgt
IEEM 6360
Credit Hours: 3
Lecture Contact Hours: 3 Lab Contact Hours: 0
Prerequisite: None.
As the pace of business continues to accelerate, forward-looking engineering managers are beginning to realize that leveraging analytics in their daily work will help them make better decisions and increase their confidence in those decisions. This course helps the engineering managers understanding the fundamentals of data analytics and in turn making them more effective in managing their engineering teams. It covers overview of data analytics and sources of data for business, engineering, and management, descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, optimization, simulation, and artificial intelligence.
Repeatability: Y
Additional Fee: N Fee Type N
Lecture Contact Hours: 3 Lab Contact Hours: 0
Prerequisite: None.
As the pace of business continues to accelerate, forward-looking engineering managers are beginning to realize that leveraging analytics in their daily work will help them make better decisions and increase their confidence in those decisions. This course helps the engineering managers understanding the fundamentals of data analytics and in turn making them more effective in managing their engineering teams. It covers overview of data analytics and sources of data for business, engineering, and management, descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, optimization, simulation, and artificial intelligence.
Repeatability: Y
Additional Fee: N Fee Type N
Sources:
Basic Information
- Earliest record:
- Latest record:
- Number of instructors:
- Number of sections:
- Average number of students per section: