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Quantitative Techniques for Management

By Dr. Manharlala N. Patel   |   Department of Statistics, University School of Sciences, Gujarat University, Ahmedabad, India.
Learners enrolled: 1072
The present course has been specially designed for the students
studying in the subject of Business Economy at CBCS
undergraduate level.
The course will cover the essential aspects of quantitative
techniques useful in management viz: linear programming,
Transportation and assignment problems, Dynamic and integer
programming, Game theory, simulation techniques, Markov chain,
and network analysis.
The course will mainly emphasize the different methods of
Operations Research (OR). By studying this course students will
taught how the solution of the decision making problem can be find
using the models of OR. There are some problems which cannot be
solved by any traditional methods, in this case the methods of OR
will be helpful.
The course will emphasize especially the modern techniques along
with their significance in the area of decision-making.
Summary
Course Status : Completed
Course Type : Core
Language for course content : English
Duration : 8 weeks
Category :
  • Management Studies
Credit Points : 2
Level : Undergraduate
Start Date : 03 Aug 2020
End Date : 12 Nov 2020
Enrollment Ends : 31 Aug 2020
Exam Date : 15 Nov 2020 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

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Course layout


 Lecture 1: Introduction to Operation Research 



 Lecture 2: Linear Programming Problem 



 Lecture 3: Big M Simplex method 
 Lecture 4: Transportation Problem Part-1


  Lecture 5: Transportation Problem Part-2


  Lecture 6: Assignment Problem
 Lecture 7: Dynamic Programming



 Lecture 8: Integer Programming


 Lecture 9: Game Theory


 Lecture 10: Simulation


 Lecture 11: Markov Process


 Lecture 12: CPM/PERT Method


 Lecture 13: Crashing


 Lecture 14: Decision Theory


 Lecture 15: Basic Inventory Model 
 Lecture 16:  Dummy Variables



 Lecture 17: Introduction to Linear  
                  Programming & Problem Solving 


 Lecture 18: Linear Programming Problem 
                Formulation & Interpretation (Part-I)


 Lecture 19: Linear Programming Problem  
               Formulation & Interpretation (Part-I)


 Lecture 20: Use of Excel Solver for Linear  
                   Programming


Instructor bio

Dr. Manharlala N. Patel

Department of Statistics, University School of Sciences, Gujarat University, Ahmedabad, India.
Dr. Manharlal N. Patel is the Professor in Department of Statistics, University School of Sciences, Gujarat University, Ahmedabad, India. He has 36 years of teaching and 30 years of research experience. His areas of expertise include Statistical Inference, Life testing and reliability, Distribution theory, Statistical Quality Control, Econometrics. He has 75 research publications in national and international peer-reviewed refereed journals to his credit as well as presented the research work in national and international conferences. He has successfully guided 5 Ph.D. and 45 M. Phil. Students. He has worked as ‘Subject Co-ordinator’ and ‘Subject Expert’ in the educational programmes produced by EMMRC as a part of UGC-CEC NME project. He was also assigned as ‘Principle Investigator’ for MOOCs ofquantitative techniques for management in the subject of Business Economics. He has also worked as in-charge director of K. S. School of Business Management of Gujarat University.



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