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Module Title
LM Algorithms for Data Science
School
Computer Science
Department
Computer Science
Module Code
06 32258
Module Lead
Miqing Li
Level
Masters Level
Credits
20
Semester
Semester 1
Pre-requisites
Co-requisites
Restrictions
None
Exclusions
Description
Modern data science encompasses a huge range of methods – from supervised methods for learning from labelled data, to statistical pattern analysis and data mining. In this module students will study a range of modern techniques from across the data science spectrum including supervised learning, data mining, and statistical pattern recognition. The module will give the student a good understanding of how, why and when different methods work and experience of applying them in practice.
Learning Outcomes
By the end of the module students should be able to:
Understand and explain a range of methods and algorithms for data science
Be able to apply a range of algorithms to solve data science problems
Compare and contrast different methods, analysing their relative advantages and disadvantages
Make informed choices between different methods, given a data science question, and be able to justify these choices.
