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==6.034==  
==6.034==  
6.034 introduces representations, methods, and architectures used to build applications and to account for human intelligence from a computational point of view. It covers problem solving and inference paradigms such as constrained search, constraint propagation, rule chaining, inheritance, and statistical inference. It also covers machine learning paradigms such as identification trees, neural nets, genetic algorithms, support-vector machines, and boosting.  Class work includes programming assignments, quizzes, and written assignments related to some of the lectures.
6.034 introduces representations, methods, and architectures used to build applications and to account for human intelligence from a computational point of view. It covers problem solving and inference paradigms such as constrained search, constraint propagation, rule chaining, inheritance, and statistical inference. It also covers machine learning paradigms such as identification trees, neural nets, genetic algorithms, support-vector machines, and boosting.  Class work includes programming assignments, quizzes, and written assignments related to some of the lectures.
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For Fall 2020, the class will meet via Zoom for lectures at the scheduled time (MWF10). Lectures will include a combination of synchronous and asynchronous recordings and will be available for later viewing.  TA-led recitations will meet via Zoom for an hour on Fridays; recordings of sessions may be available for later viewing.  All students are required the first week of class to sign up for a recitation session; recitation times will be available throughout Friday in order to accommodate different schedules and time zones.  Lecture and recitation attendance is encouraged, but not required.  Required work includes written assignments, 10 programming labs, and 4 quizzes.  If/when quizzes are given during class time, attendance is required, with accommodations for different time zones.  Students may skip final exam if satisfied with quiz performance.  Students are expected to have access to a tablet device and stylus or have an equivalent method for writing on and submitting electronic documents.
 
==6.844==  
==6.844==  

Revision as of 15:32, 24 July 2020

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Contents

Welcome to the 2020 Edition of 6.034

6.034

6.034 introduces representations, methods, and architectures used to build applications and to account for human intelligence from a computational point of view. It covers problem solving and inference paradigms such as constrained search, constraint propagation, rule chaining, inheritance, and statistical inference. It also covers machine learning paradigms such as identification trees, neural nets, genetic algorithms, support-vector machines, and boosting. Class work includes programming assignments, quizzes, and written assignments related to some of the lectures.

6.844

6.844 was created in response to requests from grad students who wanted to take 6.034, but needed graduate level credit. It is an add-on to 6.034: Students take 6.034, and also attend a weekly 6.844 session. For each 6.844 session, students read an assigned paper or papers from the research literature, write up a one page response to a set of provided questions, and come to class prepared to discuss your (and others') answers to those questions. To keep the class size manageable and to encourage active class participation, we do not allow listeners.

For Fall 2020, 6.844 will meet via Zoom for at the scheduled time (F11). Lectures will be synchronous, recorded, and available for later viewing. Class participation is required; accommodation will be made for students in different time zones.


More details about 6.034 and 6.844 will be coming soon....

Logistical stuff

Reference stuff

News

Personal tools