6.844 Info
From 6.034 Wiki
(→Assignment information coming soon...) |
Current revision (21:45, 15 September 2020) (view source) (→We are no longer using this site. Please see the Canvas sites for 6.034 on Canvas and 6.844 on Canvas for information and materials.) |
||
(4 intermediate revisions not shown.) | |||
Line 21: | Line 21: | ||
|} | |} | ||
+ | |||
+ | == We are no longer using this site. Please see the MIT Canvas sites for [https://canvas.mit.edu/courses/4358 6.034 on Canvas] and [https://canvas.mit.edu/courses/4571 6.844 on Canvas] for information and materials. == | ||
+ | |||
+ | <!-- | ||
=Week 1 -- September 11= | =Week 1 -- September 11= | ||
Line 47: | Line 51: | ||
4. Consider the sentence near the top of page 9 beginning “A computer can do, in a sense.…” There are several reasons why he starts off that way. List some reasons that seem compelling to you. | 4. Consider the sentence near the top of page 9 beginning “A computer can do, in a sense.…” There are several reasons why he starts off that way. List some reasons that seem compelling to you. | ||
- | + | --> | |
<!-- | <!-- | ||
=Week 2 -- September 18= | =Week 2 -- September 18= |
Current revision
Contents |
Welcome to the 2020 Edition of 6.844
Overview
6.844 was created in response to requests from grad students who wanted to take 6.034, but needed graduate level credit.
It is a supplement to 6.034---you will take 6.034 as usual and do all of that work (lectures, labs, quizzes), and in addition attend the 6.844 session and do the work required there. That session will meet every Friday 11am-12pm. Each week there will be a reading assignment focusing on one or more of the foundational, provocative, or intriguing papers from the research literature. You will be expected to do the reading, write up a one page response to a set of questions that will be provided with the reading, and come to class prepared to discuss your (and others') answers to those questions.
The papers will help you learn how to read original research papers in the field and will focus on the science side of AI, addressing the larger scientific questions, rather than existing tools for building applications.
The class is heavy on interaction; you will not be able to just sit back and listen. To keep the class size manageable and to encourage active class participation, we do not allow listeners.
More information about the class can be found here.
Staff
Prof. Randall Davis Instructor davis@mit.edu | tbd Teaching Assistant theosech@mit.edu |
---|---|
![]() | ![]() |