Courses / Modules / MATH6166 Statistical Computing for Data Scientists

Statistical Computing for Data Scientists

When you'll study it: Semester 1
CATS points: 7.5
ECTS points: 3.75
Level: Level 7
Module lead: Chieh-Hsi Wu
Academic year: 2024-25

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.

Learning and Teaching

Teaching and learning methods

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

Study time
Type	Hours
Independent Study	57
Teaching	18
Total study time	75

Resources & Reading list

Textbooks

Garrett Grolemund and Hadley Wickham. R for Data Science. O’Reilly.

Assessment

Formative

This is how we’ll give you feedback as you are learning. It is not a formal test or exam.

Coursework Class Exercise

Summative

This is how we’ll formally assess what you have learned in this module.

Breakdown
Method	Percentage contribution
Coursework	100%

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Breakdown
Method	Percentage contribution
Coursework	100%

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.

Breakdown
Method	Percentage contribution
Coursework	100%

Repeat Information

Repeat type: Internal & External