- Management Information Systems
- 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||
|Autonomous Student Learning||
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||
|Continuous Assessment: Assignments/Mini-Projects/MCQ||Varies over the Trimester||n/a||Graded||No||
|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|