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Curricular information is subject to change
On successful completion of this module students should be able to:
1. Demonstrate an overall understanding of AI and its approaches
2. Critically evaluate different approaches to the development of AI and their implications from a societal perspective.
3. Use an AI technology in a research project
4. Engage in contemporary debates in the field of AI
5. Critically evaluate and assess the development of AI systems
6. Write python code and run a machine learning algorithm
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Computer Aided Lab | 12 |
Autonomous Student Learning | 165 |
Total | 201 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment: - Critical evaluation of an AI system - Project that uses an AI technique to address an issue with Python |
Unspecified | n/a | Graded | No | 50 |
Multiple Choice Questionnaire: A timed online quiz in Brightspace will access the fundamentals of Artificial Intelligence | Unspecified | n/a | Alternative linear conversion grade scale 40% | No | 10 |
Assignment: Critical evaluation of contemporary AI journal article | Unspecified | n/a | Graded | No | 20 |
Assignment: Essay or report paper critically assessing a topic within the foundations of AI | Unspecified | n/a | Graded | No | 20 |
Resit In | Terminal Exam |
---|---|
Summer | No |
• Feedback individually to students, post-assessment
• Online automated feedback
Not yet recorded.
Name | Role |
---|---|
Dr Thompson Kwarkye | Lecturer / Co-Lecturer |
Dr Arjumand Younus | Lecturer / Co-Lecturer |