Decision Processes in Human Cognition (G6084)
Decision Processes in Human Cognition
Module G6084
Module details for 2023/24.
15 credits
FHEQ Level 5
Module Outline
This module will demonstrate that we can think about human behaviour and cognition in terms of decision processes, and that that allows us to break down seemingly complicated psychological phenomena and explain them in terms of simple processes. The module will introduce students to topics in cognitive psychology (e.g. motivation), neuroscience and physiology (e.g. the reward system), and decision-making (e.g. value-based decision-making and behavioural economics). We will also cover important classes of computational models, and the scope and limits of those models in helping us understand human behaviour. Finally, we will critically compare decision-making in artificial (AI) and biological systems.
The module cover topics such as:
- Perceptual decision-making
- Value-based decision making and risk aversion
- Cognitive biases and heuristics, and behavioural economics
- Subjective evaluations such as emotion and awareness
Module learning outcomes
Demonstrate understanding of fundamental human cognitive processes and the biological mechanisms underpinning them
Demonstrate understanding of key cognitive and computational models of human behaviour
Demonstrate understanding of how to express key examples of human behaviour as decision processes
Critically compare decision processes in artificial systems and in humans
| Type | Timing | Weighting |
|---|---|---|
| Computer Based Exam | Semester 2 Assessment | 75.00% |
| Coursework | 25.00% | |
| Coursework components. Weighted as shown below. | ||
| Test | T2 Week 7 (1 hour) | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Lecture | 2 hours | 11111011111 |
| Spring Semester | Laboratory | 2 hours | 00111000000 |
| Spring Semester | Seminar | 1 hour | 11000111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Maxine Sherman
Assess convenor
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