CM22015: Artificial intelligence 2
[Page last updated: 03 June 2024]
| Academic Year: | 2024/25 |
| Owning Department/School: | Department of Computer Science |
| Credits: | 5 [equivalent to 10 CATS credits] |
| Notional Study Hours: | 100 |
| Level: | Intermediate (FHEQ level 5) |
| Period: |
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| Assessment Summary: | CWSI 30%, EXCB 70% |
| Assessment Detail: |
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| Supplementary Assessment: |
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| Requisites: | Before taking this module you must take CM12001 |
| 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. |
| Synopsis: | You will engage with artificial intelligence as a tool to approach computationally hard problems in a practical manner, applying fundamental concepts of artificial intelligence in practice. |
| 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, generative adversarial Networks (GANs), Visualizing CNN, attention models, transformer and AI planning |
| Course availability: |
CM22015 is Compulsory on the following courses:Department of Computer Science
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Notes:
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