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CM20317: Foundations and frontiers of 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:
Semester 2
Assessment Summary: CW50EX50
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
While taking this module you must take CM20315
Aims: To develop a solid foundation for the theory and practice of machine learning, including mathematical, statistical and computational skills to understand and implement modern machine learning methods.

Learning Outcomes: On completion of the unit, the students will be able to:
1. demonstrate a basic understanding of the important theoretical concepts and algorithms in modern machine learning,
2. demonstrate familiarity with state-of-the-art applications of machine learning and open research questions,
3. appraise the suitability of various machine learning methods for a given application.

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

Content: Topics covered by this unit will typically include optimization, stochastic gradient descent, backpropagation, various architectures for neural networks, and state-of-the art applications of machine learning. Also included are research seminars based on current research in the department.

Programme availability:

CM20317 is Compulsory on the following programmes:

Department of Computer Science
  • 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-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.