Introduction to Machine Learning
Human-Computer Interaction for CSAI
*Dates without specified times may still change. I will update them here on this page regularly.
| Course | Type | Weight | Minimum Grade Required | Date | Time |
|---|---|---|---|---|---|
| Linear Algebra | Midterm | 50% | None | 11 October | - |
| Human-Computer Interaction for CSAI | Final (Digital) | 60% | 5.5 | 8 December | - |
| Linear Algebra | Final | 50% | None | 10 December | - |
| Introduction to Machine Learning | Final (Digital) | 60% | 5.5 | 12 December | - |
| Statistics for CSAI II | Final (Digital) | 80% | 5.5 | 15 December | - |
| Multi-Agent Systems | Final (Digital) | 60% | 5.5 | 17 December | - |
| Linear Algebra | Midterm resit | 50% | 5.5 | 8 January | - |
| Human-Computer Interaction for CSAI | Final Resit (Digital) | 60% | 5.5 | 12 January | - |
| Linear Algebra | Final resit | 50% | 5.5 | 14 January | - |
| Introduction to Machine Learning | Resit (Digital) | 60% | 5.5 | 16 January | - |
| Statistics for CSAI II | Final Resit (Digital) | 80% | 5.5 | 19 January | - |
| Multi-Agent Systems | Final Resit (Digital) | 60% | 5.5 | 20 January | - |
*Any due dates originally set at unusual or easily overlooked times (e.g. 1pm or 10:45am) have been moved to the previous day here for good measure.
| Course | Type | Weight | Minimum Grade Required | Due Date | Extra rules |
|---|---|---|---|---|---|
| Human-Computer Interaction for CSAI | Group project | 40% | None | Deliverable 01 - 22 September | |
| Further deliverables TBA | - | ||||
| Multi-Agent Systems | Group project | 40% | 1% | 28 November | |
| (48h late policy, then –1 point/day) | Something must be submitted to pass the course | ||||
| Statistics for CSAI II | Practical exercises | 20% | None | During practicals | 80% complete = full points |
| Linear Algebra | Homework exercises | 0% | 3 out of 5 complete per block | - | - |
| Machine Learning | Assignments (2 take-home) | 40% (20% each) | None | - | Resubmission possible for failed assignments (max grade 6). Deadline = 1 day before exam resit |
| Machine Learning | Practical Exercises (8 total) | 0% | Must have at least 5/8 marked complete | - | - |