This module introduces the learner to the area of Operations Research. It covers the basics of Stochastic Processes, Queuing Theory, Linear Programming, Transportation and Network Analysis. It emphasises the problem solving and application aspects of the subject.
Stochastic Processes
Introduction to Markov Chains. Transition Matrices. Limiting State Probabilities. Applications.
Queuing Theory
Introduction to queuing theory and its notation. Simple M/M/1 queueing model. Calculation of idle times, busy times, L, Lq,W and Wq for this model.
Linear Programming
Introduction to and examples of linear programmes. Graphical representation. Use of simplex method to solve simple problems.
Transportation
Formulation of simple transportation models. Sources, destinations, costs. Formulation of problems as linear programming models.
Northwest corner method for initial basic feasible solution.
Network Analysis
Introduction to Networks. Minimal Spanning Tree Method.
Lectures supported by problem-solving sessions and the use of mathematical software packages.
| Module Content & Assessment | |
|---|---|
| Assessment Breakdown | % |
| Formal Examination | 70 |
| Other Assessment(s) | 30 |