Overview:
- Credits:
- 7.5
- Level:
- 4
- Semester:
- Autumn
- Subject:
- Management Information Systems
- School:
- Business
- Coordinator:
- Assoc Professor Paula Carroll
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Curricular information is subject to change
At the end of this module, students should be able to:
1. Translate a verbal optimisation problem into a formal mathematical model and select a computational solution approach;
2. Choose an appropriate software tool to implement and solve the mathematical model;
3. Interpret the solution results in detail and discuss the limitations of the chosen solution approach;
4. Describe the similarities and differences between different optimisation approaches.
1. Problem formulation - Mathematical Modelling;
2. Mathematical Functions and Operations;
3. Continuous Functions - what we measure;
4. Discrete Maths - what we count;
5. Optimisation Applications.
Student Effort Type | Hours |
---|---|
Specified Learning Activities | 48 |
Autonomous Student Learning | 70 |
Lectures | 36 |
Small Group | 1 |
Total | 155 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Examination: End of trimester exam in exam hall (not online) | 2 hour End of Trimester Exam | No | Standard conversion grade scale 40% | No | 70 |
Continuous Assessment: Assignments/Mini-Projects/MCQ | Varies over the Trimester | n/a | Graded | No | 30 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Individual grade and summary class feedback for MCQs; Grade per team and summary class feedback for team assignment.
Lecture | Offering 1 | Week(s) - Autumn: All Weeks | Thurs 13:00 - 14:50 |
Tutorial | Offering 1 | Week(s) - 2, 3, 4, 5, 6, 7, 9, 10, 11, 12 | Wed 16:00 - 16:50 |
Lecture | Offering 2 | Week(s) - Autumn: All Weeks | Thurs 10:00 - 11:50 |
Tutorial | Offering 2 | Week(s) - 2, 3, 4, 5, 6, 7, 9, 10, 11, 12 | Wed 14:30 - 15:20 |