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CM20315: Machine learning

[Page last updated: 23 October 2023]

Academic Year: 2023/24
Owning Department/School: Department of Computer Science
Credits: 12 [equivalent to 24 CATS credits]
Notional Study Hours: 240
Level: Intermediate (FHEQ level 5)
Period:
Academic Year
Assessment Summary: CW 30%, EX 70%
Assessment Detail:
  • Coursework (CW 30%)
  • Exam S1 (EX 20%)
  • Exam S2 (EX 50%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites: Before taking this module you must take CM10310
Learning Outcomes: On completion of the unit, the students will be able to:
1. distinguish between different formulations of the machine learning challenge such as supervised and reinforcement learning,
2. demonstrate understanding of a wide range of machine learning techniques, their strengths, and their limitations,
3. write code in a relevant programming language (e.g. Python) and employ software libraries to solve problems in machine learning.


Aims: To provide an overview of the theory and practice of machine learning.

Skills: Use of IT (T/F, A) Problem solving (T/F, A).

Content: Topics covered by this unit will typically include central concepts and algorithms of supervised, unsupervised, and reinforcement learning such as support vector machines, deep neural networks, regularisation, ensemble methods, random forest, Markov Decision Processes, Q-learning, clustering, and dimensionality reduction.

Course availability:

CM20315 is Compulsory on the following courses:

Department of Computer Science
  • USCM-AFB06 : BSc(Hons) Computer Science (Year 2)
  • USCM-AAB07 : BSc(Hons) Computer Science with Study year abroad (Year 2)
  • USCM-AKB07 : BSc(Hons) Computer Science with Year long work placement (Year 2)
  • USCM-AFB27 : BSc(Hons) Computer Science and Artificial Intelligence (Year 2)
  • USCM-AAB27 : BSc(Hons) Computer Science and Artificial Intelligence with Study year abroad (Year 2)
  • USCM-AKB27 : BSc(Hons) Computer Science and Artificial Intelligence with Year long work placement (Year 2)
  • USCM-AFM01 : MComp(Hons) Computer Science (Year 2)
  • USCM-AAM02 : MComp(Hons) Computer Science with Study year abroad (Year 2)
  • USCM-AKM02 : MComp(Hons) Computer Science with Year long work placement (Year 2)
  • USCM-AFM27 : MComp(Hons) Computer Science and Artificial Intelligence (Year 2)
  • USCM-AAM27 : MComp(Hons) Computer Science and Artificial Intelligence with Study year abroad (Year 2)
  • USCM-AKM27 : MComp(Hons) Computer Science and Artificial Intelligence with Year long work placement (Year 2)

Notes:

  • This unit catalogue is applicable for the 2023/24 academic year only. Students continuing their studies into 2024/25 and beyond should not assume that this unit will be available in future years in the format displayed here for 2023/24.
  • 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.