Curricular information is subject to change.
By the end of the module students should be able to:
- Write code in both C and C++ and call such code into R
- Use the Rcpp and inline packages to export variables from C into R and vice-versa
- Use advanced features of the packages to work with large data objects and perform complex data manipulations
| Student Effort Type | Hours |
|---|---|
| Autonomous Student Learning | 80 |
| Lectures | 24 |
| Computer Aided Lab | 12 |
| Total | 116 |
Students should have completed a previous R programming module
| Description | Timing | Component Scale | % of Final Grade | |||
|---|---|---|---|---|---|---|
| Continuous Assessment: Computer lab exercises | Throughout the Trimester | n/a | Standard conversion grade scale 40% | No | 30 |
No |
| Multiple Choice Questionnaire: 5 short MCQs | Varies over the Trimester | n/a | Standard conversion grade scale 40% | No | 10 |
No |
| Examination: 2 hour end of semester computer lab exam | 2 hour End of Trimester Exam | No | Standard conversion grade scale 40% | No | 60 |
No |
| Resit In | Terminal Exam |
|---|---|
| Autumn | Yes - 2 Hour |
• Group/class feedback, post-assessment
Not yet recorded.
| Name | Role |
|---|---|
| Mr Brian Buckley | Tutor |