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Curricular information is subject to change
By the end of the module students should be have attained considerable mastery in R. They should be able to produce professional quality data analytics and documents via Rstudio which are suitable for use in a business environment.
Student Effort Type | Hours |
---|---|
Specified Learning Activities | 24 |
Autonomous Student Learning | 72 |
Online Learning | 24 |
Total | 120 |
Students must have completed one of the modules Data Programming or Data Programming with R
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Project: Final project. | Varies over the Trimester | n/a | Other | No | 70 |
Continuous Assessment: Homework assignments and small projects. | Varies over the Trimester | n/a | Other | No | 30 |
Resit In | Terminal Exam |
---|---|
Autumn | No |
• Group/class feedback, post-assessment
Not yet recorded.
Name | Role |
---|---|
John O'Sullivan | Lecturer / Co-Lecturer |