|
![]() | 2017/8 |
![]() | Department of Computer Science |
![]() | 6 [equivalent to 12 CATS credits] |
![]() | 120 |
![]() | Masters UG & PG (FHEQ level 7) |
![]() |
|
![]() | CW 60%, EX 40% |
![]() |
|
![]() |
|
![]() | Before taking this unit you must take CM50258 OR take CM50109 OR take another programming unit |
![]() | 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. |
![]() |
CM50263 is Optional on the following programmes:Department of Computer Science
|
Notes:
|