IE 5561: Analytics and Data-Driven Decision Making

4 CreditsOnline Available

Hands-on experience with modern methods for analytics and data-driven decision making. Methodologies such as linear and integer optimization and supervised and unsupervised learning will be brought together to address problems in a variety of areas such as healthcare, agriculture, sports, energy, and finance. Students will learn how to manipulate data, build and solve models, and interpret and visualize results using a high-level, dynamic programming language. Prerequisites: IE 3521 or equivalent; IE 3011 or IE 5531 or equivalent; proficiency with a programming language such as R, Python, or C.

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All Instructors

A- Average (3.667)Most Common: A (52%)

This total also includes data from semesters with unknown instructors.

153 students
  • 4.18


  • 4.24


  • 4.29


  • 4.28


  • 3.97



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