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Curricular information is subject to change
On completing this course, you should be able to:
- Describe the mathematical properties of network models;
- Outline the main principles of mathematical and computer modelling as they apply to network optimisation problems arising in business;
- Explain the details of a key subset of algorithms and data types for minimal spanning tree and shortest path finding, PERT/CPM project analysis, tree/graph searching, and network tour generation and optimisation;
- Implement important network algorithms in computer code and use existing libraries;
- Discuss some important applications of Network Models in business;
- Apply all of these ideas to realistic example problems.
| Student Effort Type | Hours |
|---|---|
| Lectures | 36 |
| Tutorial | 12 |
| Specified Learning Activities | 50 |
| Autonomous Student Learning | 72 |
| Total | 170 |
Before doing this course you will need to have achieved a basic level in a range of mathematics
and computer applications, including an introduction to algorithms, and exposure to object oriented programming methods.
The MSc(BA)/MSc(QF) courses Quantitative Methods and Numerical Analytics and Software will bring you to this level.
The MSc(BA)/MSc(QF) courses Quantitative Methods and Numerical Analytics and Software are recommended, as they will bring you to the required level.
| Description | % of Final Grade | Timing |
|---|---|---|
| Examination: Final exam | 60 |
2 hour End of Trimester Exam |
| Assignment: Programming Assignment | 25 |
Week 9 |
| Assignment: Graph exercises | 15 |
Week 6 |
Compensation
This module is not passable by compensation
Resit Opportunities
End of Semester Exam
Remediation
If you fail this module you may repeat, resit or substitute where permissible
| Name | Role |
|---|---|
| Baibing Li | Tutor |