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CM50342: Artificial intelligence

[Page last updated: 09 August 2024]

Academic Year: 2024/25
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:
Semester 2
Assessment Summary: CW 100%
Assessment Detail:
  • Artificial Intelligence Coursework (CW 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites: Before taking this module you must take CM50273 or CM50274 or another programming module
This module is only available to apprentices on the Level 7 Digital and Technology Solution Specialist Apprenticeship
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.


Aims: To present a detailed introduction to 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.

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.

Course availability:

CM50342 is Optional on the following courses:

Department of Computer Science

Notes:

  • This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.