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CM20315: Machine learning

[Page last updated: 04 August 2021]

Academic Year: 2021/2
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: EX70CW30
Further information on unit assessment Assessment Detail:
  • Assessment detail for this unit will be available shortly.
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites: Before taking this module you must take CM10310
Aims: To provide an overview of the theory and practice of machine learning.

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.

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.

Programme availability:

CM20315 is Compulsory on the following programmes:

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 2021/22 academic year only. Students continuing their studies into 2022/23 and beyond should not assume that this unit will be available in future years in the format displayed here for 2021/22.
  • Programmes 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.