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The University of Southampton
Courses

MATH6166 Statistical Computing for Data Scientists

Module Overview

This module will provide an introduction to basic statistical programming in R. It consists of lecturers and associated practical sessions for students to gain hands-on experience of statistical programming.

Aims and Objectives

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • Students should be able to enter, import and manipulate data.
  • Students should be able to produce basic graphics.
  • Students should be able to write functions, loops and code for conditional execution.

Syllabus

- R syntax - Importing data - Data manipulation - Graphics - Writing functions - Loops and conditional execution

Learning and Teaching

Teaching and learning methods

18 sessions, in combination of lectures and computer labs, (this may all be delivered online)

TypeHours
Teaching18
Independent Study57
Total study time75

Resources & Reading list

Garrett Grolemund and Hadley Wickham. R for Data Science. 

Assessment

Summative

MethodPercentage contribution
Coursework 100%

Referral

MethodPercentage contribution
Coursework 100%

Repeat Information

Repeat type: Internal & External

Costs

Costs associated with this module

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In addition to this, students registered for this module typically also have to pay for:

Books and Stationery equipment

Recommended texts for this module may be available in limited supply in the University Library and students may wish to purchase reading texts as appropriate.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at www.calendar.soton.ac.uk.

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