Courses / Module

On successful completion of the module, students should be able to:

• Program in R with efficient code, have knowledge of tidy data concepts, implement R packages, use GitHub and produce reproducible analyses.

• Tutorial & Labs/Practical hours are subject to review by the Head of Department.

Delivery methods	Hours
Lectures	24
Labs / Practicals	0
Tutorials	4
Planned learning activities	0
Independent student activities	97
Total	125

• Module Graded (numeric value) or Ungraded (Pass/Not Passed): Ungraded

Assessment type	Options	Weighting	Duration
Continuous Assessment		100%
University scheduled written examination	No	0%
Other		0%
Total		100%

• Could the result of this module be capped? No.

• Are supplemental/resit registrations permitted? No

• ST203

Click on the link to open the Timetable for Module [ST843]. Venue locations can be found here.