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CM20220: Fundamentals of pattern analysis

Follow this link for further information on academic years Academic Year: 2016/7
Further information on owning departmentsOwning Department/School: Department of Computer Science
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Intermediate (FHEQ level 5)
Further information on teaching periods Period:
Semester 2
Further information on unit assessment Assessment Summary: CW30EX70
Further information on unit assessment Assessment Detail:
  • Assessment detail data for this unit is currently being updated as a change has been approved. Updated assessment information will be published here shortly.
Further information on supplementary assessment Supplementary Assessment:
CM20220A Mandatory Extra Work (where allowed by programme regulations)
Further information on requisites Requisites: Before taking this module you must take CM20219
Further information on descriptions Description: Aims:
To introduce techniques of Pattern Analysis and Statistical Machine Learning.
To enable students to model real phenomena using statistical models and probability.
To develop understanding of inference techniques and to equip students with the necessary numerical computing techniques to deploy them in practice.

Learning Outcomes:
On completion of this unit students will be able to:
1. Develop probabilistic models of real world phenomena
2. Use inference procedures and deploy relevant optimisation techniques
3. Use appropriate statistical and numerical methods in applications

Skills:
Problem Solving (T/F,A), Application of Number (T/F,A).

Content:
Probability and Statistics
* Probability Theory, Probability Distributions, Frequency, Bayesian Statistics
Inference and Numerical Methods
* Regression, Classification, Least Squares, Bayesian Estimation, Optimisation, Matrix Decomposition
Modelling and Applications
* Feature Spaces, Clustering, Density Estimation.
Further information on programme availabilityProgramme availability:

CM20220 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-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)

CM20220 is Optional on the following programmes:

Department of Computer Science
  • USCM-AFB20 : BSc(Hons) Computer Science and Mathematics (Year 2)
  • USCM-AAB20 : BSc(Hons) Computer Science and Mathematics with Study year abroad (Year 2)
  • USCM-AKB20 : BSc(Hons) Computer Science and Mathematics with Year long work placement (Year 2)
  • USCM-AFM14 : MComp(Hons) Computer Science and Mathematics (Year 2)
  • USCM-AAM14 : MComp(Hons) Computer Science and Mathematics with Study year abroad (Year 2)
  • USCM-AKM14 : MComp(Hons) Computer Science and Mathematics with Year long work placement (Year 2)

Notes: