CSCI2951-O

Foundations of Prescriptive Analytics

Instructor(s):
  • Serdar Kadioglu
Course Home Page:
http://cs.brown.edu/courses/csci2951-o/
Location:CIT 316
Meeting Time:Friday 3:00-5:30
Exam Group:07: 08-MAY-2019 Exam Time: 02:00:00 PM
Semester:2 (Spring)
Offered this year?Yes
When Offered?Occasionally


Description

We are undoubtedly in the middle of an Analytics Revolution that enabled turning huge amounts data into insights, and insights into predictions about the future. At its final frontiers, Prescriptive Analytics is aimed at identifying the best possible action to take given the constraints and the objective. To that end, this course provides students with a comprehensive overview of the theory and practice of how to apply Prescriptive Analytics through optimization technology. A wide variety of state-of-the-art techniques are studied including: Boolean Satisfiability, Constraint Programming, Linear Programming, Integer Programming, Local Search Meta-Heuristics, and Large-Scale Optimization. Pre Requisites: One of CSCI 0320 or CSCI 0330 and recommended: one of CSCI 0530, CSCI 1570, MATH 0520 or MATH 0540.

CRN: 26084