Introduction to R Programming (Level M) STATS5020
- Academic Session: 2018-19
- School: School of Mathematics and Statistics
- Credits: 10
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 1
- Available to Visiting Students: No
- Available to Erasmus Students: No
The course introduces students to programming in the statistical software environment R.
10 2-hour practicals, supplemented by online learning material consisting of code examples, reading material and videos.
Requirements of Entry
STATS4044 Introduction to R Programming
STATS3017 Statistics 3R: Introduction to R Programming
Programming Tasks (100%) consisting of in-lab and homework assessments.
To introduce students to the basic concepts and ideas of a statistical computing environment; to train students in programming tools using the R computing environment; to provide computational skills which will support other M-level courses; and to introduce students to fundamental concepts in (scientific) programming in general.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ recognise and make appropriate use of different types of data structures;
■ use R to create sophisticated figures and graphs;
■ identify and implement appropriate control structures to solve a particular programming problem; and
■ design and write functions in R and implement simple iterative algorithms;
■ structure complex programming problems into functional units and implement these;
■ carry out extended programming tasks and produce clearly annotated listing of their code.
Minimum Requirement for Award of Credits
Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.