CM50263: Artificial intelligence
Academic Year: | 2019/0 |
Owning Department/School: | Department of Computer Science |
Credits: | 6 [equivalent to 12 CATS credits] |
Notional Study Hours: | 120 |
Level: | Masters UG & PG (FHEQ level 7) |
Period: |
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Assessment Summary: | CW 25%, EX-TH 75%* |
Assessment Detail: |
*Assessment updated due to Covid-19 disruptions |
Supplementary Assessment: |
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Requisites: | Before taking this unit you must take CM50258 OR take CM50109 OR take another programming unit |
Description: | Aims: To present a detailed introduction to formal artificial intelligence. To establish a practical understanding of intelligence and computation as strategies for problem solving, and the nature of the problems amenable to various established strategies and approaches. Learning Outcomes: On completion of this unit, students will be able to: 1. Understand a wide range of AI techniques, their advantages and disadvantages. 2. Appreciate AI as a mechanism to deal with computationally hard problems in a practical manner. 3. Understand the concepts of formal AI and put them into practice. 4. Write small to medium sized programs for aspects of Artificial Intelligence. 5. Critically evaluate state-of-the-art AI applications. Skills: Use of IT (T/F,A) Problem solving (T/F,A),Communication (T/F,A), Critical thinking (T/F,A) Content: Goals and foundations of AI. Problem solving (uninformed, heuristic, and adversarial search; constraint satisfaction). Logical reasoning (propositional logic, first-order logic, logic programming). Probabilistic reasoning (probability models, Bayesian networks). Machine learning (possible topics include decision trees, nearest-neighbor methods, reinforcement learning, neural networks, support vector machines, boosting). State-of-the-art AI applications will be discussed throughout the unit. |
Programme availability: |
CM50263 is Optional on the following programmes:Department of Computer Science
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Notes:
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