Prescriptive Analytics (3:0)

Dr M Mathirajan

Department of Management Studies, Faculty of Engineering, IISc

Objective of the course

To provide, business practitioners and those who are interested in Prescriptive Analytics, exposure on a selected set of Management Science and optimization techniques; To make to understand the fundamental concepts, methods, and models needed to explore prescriptive-analytics; And To implement the techniques learned in the course in the real life situations.

Syllabus

Introduction to Business Analytics, Linear/Integer/Non-Linear Optimization, Optimization of Network Models, Dynamic Programming, Heuristic Programming, Goal Programming, Multi-Attribute Decision Making Methods, and Monte Carlo Simulation, which are believed to be among the most popular Prescriptive Analytics tools to solve a majority of business optimization problems, with case studies from Business, Industry, and Government (BIG) applications using LINDO/LINGO/CPLEX optimization package.

Who can apply?

ME/MTech, BE/BTech and Masters in
Business Administration, Management, Operations Research, Computer Science, Data Science, Data Analytics, Business Analytics, Computer Applications, Mathematics, Statistics, Commerce, Economics,Econometrics.