CM20316: Artificial intelligence 2
[Page last updated: 23 October 2023]
Academic Year: | 2023/24 |
Owning Department/School: | Department of Computer Science |
Credits: | 6 [equivalent to 12 CATS credits] |
Notional Study Hours: | 120 |
Level: | Intermediate (FHEQ level 5) |
Period: |
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Assessment Summary: | CW 30%, EX 70% |
Assessment Detail: |
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Supplementary Assessment: |
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Requisites: | Before taking this module you must take CM10310 |
Learning Outcomes: |
On completion of the unit, the students will be able to:
1. appreciate AI as a mechanism to deal with computationally hard problems in a practical manner; 2. demonstrate understanding of fundamental concepts of AI and put them into practice. |
Aims: | To develop a solid foundation in the theory and practice of artificial intelligence (AI). |
Skills: | Use of IT (T/F, A) Problem solving (T/F, A). |
Content: | Topics covered by this unit will typically include probabilistic reasoning, graphical models, sequential decision making under uncertainty, reinforcement learning, logical representation and reasoning (e.g. first-order logic), logic programming, constraint satisfaction, and planning. |
Course availability: |
CM20316 is Compulsory on the following courses:Department of Computer Science
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Notes:
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