MAS6024 Statistical Data Science in R

Semester 1, 2017/18 15 Credits
Lecturer: Dr Kevin Walters uses MOLE
Teaching Methods Assessment

This module starts in Intro Week with a speedy review of basic background mathematics and statistics, and an introduction to R and LaTeX. The module will then introduce students to a range of statistical and programming techniques and give practice in their implementation and interpretation using the software R. It aims to help students develop the knowledge and experience to select and use appropriate techniques for a variety of problems. The emphasis will be on practical application of techniques and knowledge of their scope rather than development of theoretical underpinnings. Areas to be covered include: exploratory data analysis, simple checks on data, density estimation, simulation, programming and optimization.

There are no prerequisites for this module.
No other modules have this module as a prerequisite.

Teaching methods

Problem solving, Independent Study


No lectures, no tutorials, 16 practicals

Assessment

Three pieces of course work