Business Analytics with Management Science Models and Methods

Objective

To provide business practitioners and those who are interested in Business Analytics a selected set of Management Science and Optimization Techniques along with the fundamental concepts, methods, and models for understanding prescriptive analytics implementation of these techniques in the era of Big Data.

Syllabus

IIntroduction 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. These 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.