Decision Analytics

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Course No: POMS.6220-061; SIS Class Nbr: 9898; SIS Term: 2830
Course Status: Open

Course Description

This course covers the three main facets of business analytics: descriptive, predictive, and prescriptive analytics. Students will gain the knowledge of managerial decision-making (commonly referred to as data analytics, decision support systems-DSS, data mining). Some of the business analytic topics covered include neural networks, decision trees, support vector machines, k-means, association rule mining, Analytical Hierarchy Process, Data Envelopment Analysis, expert systems, optimization, and simulation.

Prerequisites, Notes & Instructor

  • Prerequisites: MATH.2830 Intro to Statistics or ECON.2110 Statistics I (or equivalent by the instructor's approval).
  • Special Notes:
  • Section Notes:
  • Credits: 3; Contact Hours: 3
  • Instructor: Asil Oztekin
  • Textbook Information

When Offered & Tuition

  • Online Course
  • Spring 2019: Jan 22 to Apr 07
  • Course Level: Graduate
  • Tuition: $1965
  • Note: There is a $30 per semester, nonrefundable registration fee for credit courses.

Related Programs: M.S. in Engineering Management

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