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Steven G. Johnson 2023-02-05 16:44:15 -05:00
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@ -12,12 +12,12 @@ This is a repository for the course [18.065: Matrix Methods in Data Analysis, Si
**Grading**: 50% homework, 50% final project.
**Homework**: Biweekly. You may consult with other students or any other resources you want, but must write up your solutions *on your own*.
**Homework**: Biweekly, due Fridays (2/17, 3/3, 3/17, 4/7, 4/21, 5/5) [on Canvas](https://canvas.mit.edu/courses/18680). You may consult with other students or any other resources you want, but must write up your solutions *on your own*.
**Exams**: None.
**Final project**: Due **May 15**. You can work in **groups of 1–3**.
* **1-page** proposal **due Monday April 3** (right after spring break), but you are encouraged to discuss it with Prof. Johnson earlier to get feedback.
**Final project**: Due **May 15** [on Canvas](https://canvas.mit.edu/courses/18680). You can work in **groups of 1–3** ([sign up on Canvas](https://community.canvaslms.com/t5/Student-Guide/How-do-I-join-a-group-as-a-student/ta-p/468)).
* **1-page** proposal **due Monday April 3** [on Canvas](https://canvas.mit.edu/courses/18680) (right after spring break), but you are encouraged to discuss it with Prof. Johnson earlier to get feedback.
* Pick a problem involving "learning from data" (in the style of the course, but not *exactly* the same as what's covered in lecture), and take it further: to numerical examples, to applications, to testing one or more solution algorithms. Must include computations (using any language).
* Final report **due May 15**, as an 8–15 page academic paper in the [style template](https://template-selector.ieee.org/secure/templateSelector/format?publicationTypeId=1&titleId=154&articleId=1) of [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://www.computer.org/csdl/journal/tp).
* Like a good academic paper, you should **thoroughly reference** the published literature (citing both original articles and authoritative reviews/books where appropriate \[rarely web pages\]), tracing the historical development of the ideas and giving the reader pointers on where to go for more information and related work and later refinements, with references cited throughout the text (enough to make it clear what references go with what results). (Note: you may re-use diagrams from other sources, but all such usage must be _explicitly credited_; not doing so is [plagiarism](http://writing.mit.edu/wcc/avoidingplagiarism).)