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): Graded

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

• Pass standard: 40%
• Could the result of this module be capped? No
• Penalties: Work submitted after the deadline will not be graded and will not count.

• Are supplemental/resit registrations permitted? Yes
• Students who score less than 40% on this module may repeat the final assessment (only) on a date determined by the Department. In this case, the module mark will be capped at 40%.

• ST203

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