Coursework:
- Homeworks (40%): there will be three homeworks (plus a warmup which does not count towards your grade),
centered around proving properties of statistical procedures.
Each homework must be submitted through Gradescope. Sign up for the course using entry code M4V34N.
You are encouraged to use LaTeX to typeset your homeworks;
we've provided a template for your convenience.
- Exam (25%): open-book, open-notes.
Problems will be like the homeworks, but simpler.
You can use laptops as long as you turn off the wireless.
Date: Wed Nov 14, 6-10 PM (subject to change)
- Paper review (30%):
you will write a 2-4 page review of papers. The goal is to learn to
read technically demanding papers critically, and hopefully in the process, generate
novel research ideas. Your review should not only summarize the main result of the paper,
but critique it, instantiate it on examples, discuss its overall significance,
and suggest possible future directions.
See this Google doc
for detailed guidelines and a list of papers.
Each review should be submitted electronically by 11pm.
Instead of doing the paper review, with approval from the course
staff on the project topic, you can do a final project.
The project can be done in pairs.
- Scribe notes (5%):
Because there is no textbook or set of readings that perfectly fits this course, you will be asked to scribe a note for a lecture in LaTeX. The course staff will select one note for each lecture and share it with other students. See this Google doc for the detailed guidelines. The scribe notes are due 2 days after the lecture (11pm Wed for Mon lecture, and Fri 11pm for Wed lecture). Please sign up here before Sept 29th and plan the time ahead. Extra credits will be given to the notes that are selected for posting.
The scribe notes can be done in pairs.
By default, no late work is accepted. Under extentuating circumstances,
you may request an extension by contacting the course staff.
