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CM12001: Artificial intelligence 1

[Page last updated: 03 June 2024]

Academic Year: 2024/25
Owning Department/School: Department of Computer Science
Credits: 10 [equivalent to 20 CATS credits]
Notional Study Hours: 200
Level: Certificate (FHEQ level 4)
Period:
Academic Year
Assessment Summary: CWSI 60%, EXCB 40%
Assessment Detail:
  • Set exercises Individual (CWSI 30%)
  • Set exercises Individual (CWSI 30%)
  • Closed-book written examination (EXCB 40%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: On completion of the unit, the students will be able to: 1. demonstrate understanding of a range of AI techniques, their strengths, and their limitations, 2. demonstrate understanding of the fundamentals of probability theory and its role in AI, 3. apply various AI techniques to simple problems, 4. produce programs in a relevant programming language that can implement AI techniques in practice, 5. identify social, legal, and ethical issues in applications of AI.


Synopsis: You will engage with the fundamental concepts of Artificial Intelligence (AI). You will learn the strengths and limitations of a range of AI techniques, and apply these in solving simple problems, including through the implementation of AI algorithms in a relevant programming language while considering the social, legal, and ethical implications of AI.

Content: Example topics include: Goals, foundations, and history of AI; problem solving through state-space search; logical reasoning; probabilistic reasoning; machine learning; implementing AI algorithms; examples of state-of-the-art AI applications; social, legal, and ethical implications of AI.

Course availability:

CM12001 is Compulsory on the following courses:

Department of Computer Science
  • USCM-AFB30 : BSc(Hons) Computer Science (Year 1)
  • USCM-AFB31 : BSc(Hons) Computer Science and Artificial Intelligence (Year 1)
  • USCM-AKB31 : BSc(Hons) Computer Science and Artificial Intelligence with professional placement (Year 1)
  • USCM-AKB31 : BSc(Hons) Computer Science and Artificial Intelligence with study abroad (Year 1)
  • USCM-AFB32 : BSc(Hons) Computer Science and Mathematics (Year 1)
  • USCM-AKB32 : BSc(Hons) Computer Science and Mathematics with professional placement (Year 1)
  • USCM-AKB32 : BSc(Hons) Computer Science and Mathematics with study abroad (Year 1)
  • USCM-AKB30 : BSc(Hons) Computer Science with professional placement (Year 1)
  • USCM-AKB30 : BSc(Hons) Computer Science with study abroad (Year 1)
  • USCM-AFM30 : MComp(Hons) Computer Science (Year 1)
  • USCM-AFM31 : MComp(Hons) Computer Science and Artificial Intelligence (Year 1)
  • USCM-AKM31 : MComp(Hons) Computer Science and Artificial Intelligence with professional placement (Year 1)
  • USCM-AKM31 : MComp(Hons) Computer Science and Artificial Intelligence with study abroad (Year 1)
  • USCM-AFM32 : MComp(Hons) Computer Science and Mathematics (Year 1)
  • USCM-AKM32 : MComp(Hons) Computer Science and Mathematics with professional placement (Year 1)
  • USCM-AKM32 : MComp(Hons) Computer Science and Mathematics with study abroad (Year 1)
  • USCM-AKM30 : MComp(Hons) Computer Science with professional placement (Year 1)
  • USCM-AKM30 : MComp(Hons) Computer Science with study abroad (Year 1)

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.