Overview:
- Credits:
- 5.0
- Level:
- 3
- Semester:
- Spring
- Subject:
- Management Information Systems
- School:
- Business
- Coordinator:
- Dr Clare Branigan
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Curricular information is subject to change
On completing this module students will be expected to be able to(i) work in groups as decision consultants helping other students make a real life decisions (ii) use their judgement about how to mix theory and action learning, using a quantitative focus (iii) explain how decision structures can improve decision making(iv) Understand how, by appreciating the cognitive biases to which you are prone, you can become a better decision-maker
Indicative Module Content:Heuristics and Biases
Paradox of Choice
Bubble Markets, Herding, Group Think
Loss Aversion, Regret
Prospect Theory
Bayes Theorem
Markov decision process
Multi-criteria Decision Processes
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Practical | 12 |
Specified Learning Activities | 56 |
Autonomous Student Learning | 28 |
Total | 120 |
This course is for the person who likes to use a mathematical approach to problem solving. Students should have reached the level of first year mathematics. It is very different from linear programming and does not require one to have done it. It focuses on how people make decisions and on the mathematical functions that are used to support people's choices.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Journal: Learning Journal | Week 12 | n/a | Graded | No | 40 |
Presentation: Group Presentation on Class Reading | Throughout the Trimester | n/a | Graded | No | 15 |
Continuous Assessment: In Class Tests Continuous Assessment throughout term | Week 9 | n/a | Graded | No | 45 |
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Feedback for the in class tests will be available to students within 2 week of test completion, Students can get feedback face-to-face directly after class or tutorials. Feedback for Group Presentations will be given directly after the Presentation. Feed back for the Group Project will be provided in Week 11 after the Group Presentation