Grading and every dated event of the January–April 2019 offering in one place. The project carries the most weight; homework assignments are programming tasks, a subset of them with a viva.
Dates
| 04 Jan 19 |
Course begins |
| 15 Jan 19 |
Quiz 1 |
| 17 Jan 19 |
Homework 2 released |
| 20 Jan 19 |
Project proposal due |
| 27 Jan 19 |
Homework 2 due; Homework 3 released |
| 05 Feb 19 |
Homework 3 due |
| 15 Feb 19 |
Project phase I presentations |
| 20 Mar 19 |
Project phase II presentations |
| 30 Mar 19 |
ML demo due |
| 05 Apr 19 |
ML demos |
| 16 Apr 19 |
Quiz 3 |
| 22 Apr 19 |
Final project report due |
| 02 May 19 |
End-semester exam |
Grading
Everything is out of 100 marks, with bonus marks on top.
| Component | Marks | How |
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| Project | 40 | In groups of four or fewer: proposal report (5), phase I presentation (5), phase II presentation (5), three-minute pitch in the style of 3MT (5), demo and poster (15) and final report (5). |
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| Homework | 32 | Eight programming assignments, 4 marks each. Late submissions earn 50% credit: up to one day late for the first assignment and up to two days for the others. A subset has an associated viva. |
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| End semester | 10 | Written exam. |
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| Quizzes | 6 | Three surprise quizzes worth 3 marks each; the best two count. |
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| Paper presentation | 4 | Three students per paper: one summarises it, one argues for it, one acts as devil's advocate. Paper list · slides template. |
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| Kaggle competition | 4 | Done individually, due in early April. |
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| ML demo | 4 | An interactive demo, in the same team as the project, due 30 March. Examples: k-means, a visual introduction to ML, linear regression, random forests. |
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| Total | 100 | Bonus: 10 marks for reaching Master level on Kaggle, or 5 marks for Expert level. |
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