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Computational Statistics

Key information

  • Module code:

    4CCYB090

  • Level:

    4

  • Semester:

      Spring

  • Credit value:

    15

Module description

This module will comprise by a series of seminars, which will provide the students with an understanding of the fundamental concepts of descriptive and inferential statistics. A practical problem - solving approach will be used to encourage deeper understanding of the theoretical content. This will involve laboratory sessions in which the computational aspects of statistics are explored using Matlab and applied to real problems. Students will also learn the basic concepts of computer programming in Matlab.

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.