Curricular information is subject to change.
On completion of this module students should be able to:
1. Understand the use of procedures (functions, methods) in consturcting computer programs
2. Design algorithms to solve problems
3. Successfully write, compile, debug, and run programs using these constructs
4. Design solutions that use data to answer questions (data science)
5. Apply programming techniques to develop solutions to problems in the area of data science
| Student Effort Type | Hours |
|---|---|
| Lectures | 24 |
| Practical | 22 |
| Autonomous Student Learning | 66 |
| Total | 112 |
COMP10010
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Exam (In-person): End of year exam | End of trimester Duration: 1 hr(s) |
Alternative linear conversion grade scale 40% | No | 25 |
No |
| Individual Project: Individual coding project. | Week 6 | Alternative linear conversion grade scale 40% | No | 30 |
No |
| Individual Project: Individual coding project. | Week 11 | Alternative linear conversion grade scale 40% | No | 30 |
No |
| Participation in Learning Activities: Various mandatory, but ungraded, tasks throughout the year including programming exercises, MCQs, and other in-class activities. | Week 2, Week 4, Week 6, Week 8, Week 10 | Alternative linear conversion grade scale 40% | No | 15 |
No |
As part of UCD's student support, under the Additional Consideration policy, extensions may be available for the following assessments in the module: Assignment (including essay/poster), Portfolio, Reflective Assignment, Report(s), and Individual Project.
| Resit In | Terminal Exam |
|---|---|
| Summer | No |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Online automated feedback
Feedback will follow each assessment component.
| Name | Role |
|---|---|
| Andreas Chouliaras | Tutor |