Quantitative Techniques for Management

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Free Online Course: Quantitative Techniques for Management provided by Swayam is a comprehensive online course, which lasts for 8 weeks long. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Swayam. Quantitative Techniques for Management is taught by Dr. Manharlala N. Patel.

Overview
  • The present course has been specially designed for the studentsstudying in the subject of Business Economy at CBCSundergraduate level.The course will cover the essential aspects of quantitativetechniques useful in management viz: linear programming,Transportation and assignment problems, Dynamic and integerprogramming, Game theory, simulation techniques, Markov chain,and network analysis.The course will mainly emphasize the different methods ofOperations Research (OR). By studying this course students willtaught how the solution of the decision making problem can be findusing the models of OR. There are some problems which cannot besolved by any traditional methods, in this case the methods of ORwill be helpful.The course will emphasize especially the modern techniques alongwith their significance in the area of decision-making.

Syllabus
  • 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: Simulatio     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 Linea 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 Linea Programming