Course Code: ANL355
Synopsis
ANL355 Applied Operations Research introduces students to the optimization process and covers techniques such as the Simplex Method, Network Simplex, integer programming, non-linear programming and dynamic programming. Case studies will be used extensively to help illustrate the various techniques covered. Hands-on using computer software (e.g., Excel, AMPL) will also be taught in this course.
Level: 3
Credit Units: 5
Presentation Pattern: EVERY JAN
Topics
- Foundations of Probability and Basic Linear Algebra
- Operations Research & Decision Analysis
- Linear Optimisation Model
- Geometry of the Solution Space
- Nonlinear Optimisation
- Discrete Optimisation
- Decision Tree Analysis
- Linear Optimisation under Uncertainty
- Risk vs Ambiguity
- Simulation Modelling
- Random Number Generation
- Integration in Decision Modelling
Learning Outcome
- Explain relevant concepts used in Operations Research
- Describe the relevant business problem to be solved
- Use an appropriate operation research technique for a given business problem.
- Formulate mathematical models in daily business operations
- Interpret the results of the proposed mathematical optimization models
- Evaluate the results of various proposed mathematical optimization models for effective decision-making in complex scenarios
- Use optimization solver and computer tools to derive the optimal or near-optimal solution of proposed mathematical optimization problems