Course Outcomes (Cos):
Course Outcome |
Learning and teaching strategies |
Assessment Strategies |
Upon successful completion of this course, the student will be able to:
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Interactive Lectures, Group Discussion, Tutorials, Reading assignments, Workshops and question preparation
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Class test, Semester end examinations, Quiz, Solving Numerical problems in tutorials, Assignments, Class Presentation |
Quantitative Techniques: An Introduction, Statistical and Operations Research techniques, Scope and application of Quantitative Techniques, Scientific approach in decision-making, Limitation of these techniques.
Linear Programming: Mathematical formulation of problem. Graphical and Simplex Solutions of LPP. Primal and its Dual.
Game Theory– Meaning, Two Person zero sum game , Mix strategies.
Queuing Theory – meaning , concepts and problems related with Queuing Theory.
Transportation: Solving the problem. Testing the optimality MODI method.Cases of unbalanced problems, Degeneracy, Maximization objective, Multiple solutions and Prohibited Routes
Assignment: Solving the problem. Cases of unbalanced problems, multiple optimum solutions, maximization objective and unacceptable assignments
Decision Theory: Maximin, Minimax, and Maximax expected pay off andregret, Expected value of Perfect Information, Decision Tree Analysis.
SUGGESTED READINGS:
e-RESOURCES:
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