AOR-EMBA-BA-19

AOR-EMBA-BA-19
MBA(Exe.)-BA-2019-20: Term-IV

Advanced Operations Research

Credits	3
Course	EMBA in Business Analytics
Term	IV (March-May)
Faculty Name	Sandipan Karmakar

Course Description
In this course attendees will be exposed to advanced optimization algorithms to solve different challenging problems which arise in the arena of Business decision-making. As the name implies, this is an Advanced course on Optimization Algorithms which is rooted to the Operational Research, the attendees already have been taught in Term-I. Presuming a good grasp on the concepts of Basic OR, the attendees will be exposed to different advanced algorithms to suit the different problems in Analytics domain. Along with the different advanced optimization algorithms, the attendees will explore the “Soft Computing” approaches prevailing in Scientific Research domain.

Learning Outcomes

At the end of the course you should
1. Be able to identify the business problems where these advanced optimization algorithms are required
2. Be able to formulate, analyze and implement these advanced algorithms
3. Be able to analyze and implement these algorithms with the help of R/Python

Session Plan

Session Topics/Activities Reading

1-6 Advanced Linear Programming
1. Revised Simplex Method
2. Dual Simplex Method
3. Integer Programming T1

7-9 Nonlinear Programming
1. Unconstrained search techniques
2. Constrained Search techniques T1

10-11 Dynamic Programming T1

12-13 Goal Programming T1

14-15 Game Theory Notes

16-20 Soft Computing
1. Genetic Algorithm
2. Artificial Neural Networks
3. Fuzzy Logic
4. Adaptive Neuro-Fuzzy Inference T2

Evaluation

1. Mid Term of 30% weight – Online
2. Individual projects of 30% weight – Offline
3. End-term of 40% weight – Offline
No Makeup Exams. Marks for missed components will be equated to the minimum of the other attended components (in percentage terms).

Reading

1. Introductory Operations Research: Theory and Applications by Kasana and Kumar, Springer
2. Soft Computing by D K Pratihar, Narosa Publishers
Academic Integrity

Malpractice in any form will be dealt with as per manual of policies

Created By: Alora Kar on 06/26/2019 at 10:31 AM
Category: MBA(Exe.)BA-2019-20 T-IV Doctype: Document

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Session	Topics/Activities	Reading
1-6	Advanced Linear Programming 1. Revised Simplex Method 2. Dual Simplex Method 3. Integer Programming	T1
7-9	Nonlinear Programming 1. Unconstrained search techniques 2. Constrained Search techniques	T1
10-11	Dynamic Programming	T1
12-13	Goal Programming	T1
14-15	Game Theory	Notes
16-20	Soft Computing 1. Genetic Algorithm 2. Artificial Neural Networks 3. Fuzzy Logic 4. Adaptive Neuro-Fuzzy Inference	T2