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Computational Statistics

Key information

  • Module code:

    4CCYB090

  • Level:

    4

  • Semester:

      Spring

  • Credit value:

    15

Module description

This module will teach you how to use (and misuse!) some important and interesting theory to illustrate patterns in data and draw sensible conclusions from it, as well as win arguments with your friends and enemies ...As well as learning about the theory and practice of statistics, you can also learn about some of the famous (and sometimes colourful) figures from the history of statistics - check out the section on Famous Statisticians.

Assessment details

Coursework 50%

Exam 50%

Learning outcomes

On completion of the course the students should be able to:

  • demonstrate an understanding of the fundamental concepts of descriptive and inferential statistics
  • visualise and analyse statistics of data using Matlab
  • demonstrate an understanding of the nature and types of programming languages, and perform simple programming tasks using Matlab.

Subject areas

Department

Module description disclaimer

King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.

Please note that modules with a practical component will be capped due to educational requirements, which may mean that we cannot guarantee a place to all students who elect to study this module.

Please note that the module descriptions above are related to the current academic year and are subject to change.