Code
INDE3002
Credits
25
Graduate Attributes
Introduction
This unit covers three important topics in Operations Research: dynamic programming, queuing theory and discrete event simulation. The unit provides students with mathematical theory, simulation techniques and hand-on programming experience for solving dynamical and stochastic decision-making problems.
Lecture
1 x 2 Hours Weekly
Tutorial
1 x 1 Hours Weekly
Workshop
1 x 1 Hours Weekly
Unit Learning Outcomes
- 1 apply key elements of Stochastic Modelling to dynamic systems, GC1, GC2, GC3, GC6
- 2 apply dynamic programming concepts to model and optimise a range of industrial optimisation problems, GC1, GC2, GC3, GC6
- 3 analyse, model and optimise queuing systems, GC1, GC2, GC3, GC6
- 4 analyse, develop and implement simulation models, GC1, GC2, GC3, GC6
- 5 apply and adapt models to industrial case studies, GC1, GC2, GC3, GC6
Course Learning Outcomes
- 1 Demonstrate a conceptual understanding of fundamental science, mathematics, data analytics, information science, and computing underpinning the broad field of engineering
Assessment Breakdown
Recent Unit Changes & Response to Student Feedback
Students are encouraged to provide feedback through student surveys (such as Insight and the annual Student Experience Survey) and interactions with teaching staff. Listed below are some recent changes to the unit as a result of student feedback. Students are encouraged to provide feedback through student surveys (such as Insight and the annual Student Experience Survey) and interactions with teaching staff. There have been no recent changes to the unit as a result of student feedback