Computational Cognitive Psychology
| Code | School | Level | Credits | Semesters |
| PSGY4061 | Psychology | 4 | 20 | Autumn UK |
- Code
- PSGY4061
- School
- Psychology
- Level
- 4
- Credits
- 20
- Semesters
- Autumn UK
Summary
The aim is to teach students cognitive psychology but also how cognition is understood in computational terms, how it can be simulation and how it compares to AI approaches.
Content:
- Cognitive psychology;
- Computational approaches;
- Connectionist networks;
- Deep nets for vision audition and language;
- Memory networks.
Target Students
MSc Computational Neuroscience, Cognition and AI (compulsory). Optional PG students in Psychology and Maths. Also available for Year 4MSci Psychology students with approval from the module convenor/course director.
Classes
- Four 1-hour lectures each week for 10 weeks
40 lecture hours (4 lectures per week), supplemented by weekly seminars of 1 hour
Assessment
- 50% Coursework 1: 2000 words.
- 50% Coursework 2: 2000 words.
Assessed by end of autumn semester
Educational Aims
This course aims to teach students about the computational aspects, descriptions, and simulations of cognitive processes such as perception, memory, and language, as well as application of those insights to AI.Learning Outcomes
Intellectual skills
• Describe fundamental principles of computations in the brain, how they can be simulated, analysed and harnessed.
• Assess, interpret and discuss the scientific literature in the relevant areas
• Understand principles of computational modelling
Professional / practical skills
• Extract information from relevant scientific literature
• Run and explore simulations using modern computational tools
Transferable / key skills
• Collaborate effectively as a member of a team
• Effectively communicate their work in writing