Prescriptive Analytics

Learn how to solve complex problems with Excel-based discrete optimization concepts, linear and integer programming. Offered in collaboration with Rice’s George R. Brown School of Engineering, this course is applicable to the Certificate of Completion in Supply Chain Analytics or the Certificate of Completion in Advanced Data Analytics.

Optimization technology is omnipresent in our society. Applications range from scheduling traffic lights sequence to checkout lanes in groceries, from transportation of goods and people using train, ship, or an airplane to organizing your personal time to meet work deadlines and still have enough family time. Optimization is essential to successfully meet everyday needs.

This class is an introduction to discrete optimization and exposes you to some of the most fundamental concepts in the field. Cover optimization models, linear programming case studies using Excel and scenario planning using what-if analysis in class. Also, learn an overview of how uncertainty can be modeled, optimization modeling from unconstrained to linear and integer programming and concepts applicable to areas such as project management, decision analysis, scheduling, allocation of resources, and supply-chain optimization.

This course is applicable to the Certificate of Completion in Supply Chain Analytics or the Certificate of Completion in Advanced Data Analytics. Details can be found in the certificates tab below.

Details

Section Instructor Format Schedule start date
PADA1003.S19.1 Andrew Schaefer, Eylem Tekin, Ilya V. Hicks On-campus 9 a.m.-4 p.m. Thursday, February 28, 2019

Instructor: Andrew Schaefer

Andrew Schaefer, Ph.D., is the Noah Harding Chair and a professor of computational and applied mathematics at Rice University. His research interests are stochastic optimization and its applications. He received his Ph.D. in industrial and systems engineering from Georgia Tech. He has previously taught at Georgia Tech, the University of Pittsburgh and London Business School.

Eylem Tekin, Ph.D., is a lecturer in industrial engineering at Rice University. Her research interests are in supply chain management. She received her Ph.D. in industrial engineering and management science from Northwestern University. She has taught at the University of North Carolina-Chapel Hill, Texas A&M and the University of Houston.

Ilya V. Hicks, Ph.D., professor of computational and applied mathematics

Term: Spring/Summer 2019

Start Date: Feb. 28, 2019

End Date: March 29, 2019

Schedule: 9 a.m.-4 p.m.

Length: Thursday and Friday

Location: Rice campus

Fee: $1,100

Early Registration: $1,000 if registering before Oct. 18

Rice Alumni: $990

CEUs: 1.2

  • Professionals or managers in manufacturing or operations based businesses
  • Professionals or managers in high volume healthcare systems
  • Professionals or managers in refineries and chemical processing plants
  • Professionals or managers in oilfield services 
  • Professionals or managers in logistics, supply chain or scheduling

Through a collaboration with Rice’s George R. Brown School of Engineering, the Glasscock School of Continuing Studies offers two unique certificate programs in the field of advanced data analytics. Courses can be taken individually to supplement existing skills or in combination to earn two certificate options - the Certificate of Completion in Supply Chain Analytics or the Certificate of Completion in Advanced Data Analytics.

This course is applicable to the Certificate of Completion in Supply Chain Analytics or the Certificate of Completion in Advanced Data Analytics. Learn more about the Data Analytics Certificate Programs.

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