6.867 and 14.12 have conflicting lecture times!
6.034 and 15.S09 have conflicting lecture times!

6 Classes (60 Units)

6.034 (12), 6.806 (12), 6.828 (12), 6.867 (12), 14.12 (12), 15.S09 (0)

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6.034 Artificial Intelligence

Class Info

Introduces representations, methods, and architectures used to build applications and to account for human intelligence from a computational point of view. Covers applications of rule chaining, constraint propagation, constrained search, inheritance, statistical inference, and other problem-solving paradigms. Also addresses applications of identification trees, neural nets, genetic algorithms, support-vector machines, boosting, and other learning paradigms. Considers what separates human intelligence from that of other animals.

This class has 6.0001 as a prerequisite.

6.034 will not be offered this semester. It will be available in the Fall semester, and will be instructed by P. H. Winston.

Lecture occurs 10:00 AM to 11:00 AM on Mondays, Wednesdays and Fridays in 10-250.

This class counts for a total of 12 credits.

You can find more information at the Main Page - 6.034 Wiki site.

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6.806 Advanced Natural Language Processing

Class Info

Introduces the study of human language from a computational perspective, including syntactic, semantic and discourse processing models. Emphasizes machine learning methods and algorithms. Uses these methods and models in applications such as syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization. Students taking graduate version complete additional assignments.

This class has 6.046 as a prerequisite.

6.806 will not be offered this semester. It will be available in the Fall semester, and will be instructed by .

This class counts for a total of 12 credits.

You can find more information at the MIT + 6.806 - Google Search site.

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6.828 Operating System Engineering

Class Info

Fundamental design and implementation issues in the engineering of operating systems. Lectures based on the study of a symmetric multiprocessor version of UNIX version 6 and research papers. Topics include virtual memory; file system; threads; context switches; kernels; interrupts; system calls; interprocess communication; coordination, and interaction between software and hardware. Individual laboratory assignments accumulate in the construction of a minimal operating system (for an x86-based personal computer) that implements the basic operating system abstractions and a shell. Knowledge of programming in the C language is a prerequisite.

This class has 6.031, and 6.033 as prerequisites.

6.828 will not be offered this semester. It will be available in the Fall semester, and will be instructed by M. F. Kaashoek.

Lecture occurs 1:00 PM to 2:30 PM on Mondays and Wednesdays in 32-123.

This class counts for a total of 12 credits.

You can find more information at the MIT + 6.828 - Google Search site or on the 6.828 Stellar site.

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6.867 Machine Learning

Class Info

Principles, techniques, and algorithms in machine learning from the point of view of statistical inference; representation, generalization, and model selection; and methods such as linear/additive models, active learning, boosting, support vector machines, non-parametric Bayesian methods, hidden Markov models, Bayesian networks, and convolutional and recurrent neural networks. Recommended prerequisite: 6.036 or other previous experience in machine learning.

This class has 18.06, 6.041B, and 18.600 as prerequisites.

6.867 will not be offered this semester. It will be available in the Fall semester, and will be instructed by T. Jaakkola and L. P. Kaelbling.

Lecture occurs 2:30 PM to 4:00 PM on Tuesdays and Thursdays in 32-123.

This class counts for a total of 12 credits.

You can find more information at the MIT + 6.867 - Google Search site or on the 6.867 Stellar site.

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14.12 Economic Applications of Game Theory

Class Info

Analysis of strategic behavior in multi-person economic settings. Introduction to solution concepts, such as rationalizability, backwards induction, Nash equilibrium, subgame-perfect equilibrium, and sequential equilibrium, with a strong emphasis on the assumptions behind these solution concepts. Issues of incomplete information, such as signaling and reputation formation. Applications drawn from microeconomics and political economy.

This class has 14.01, and 6.041B as prerequisites.

14.12 will not be offered this semester. It will be available in the Fall semester, and will be instructed by M. Yildiz.

Lecture occurs 2:30 PM to 4:00 PM on Tuesdays and Thursdays in E52-164.

This class counts for a total of 12 credits. This class counts as a HASS S.

You can find more information at the MIT + 14.12 - Google Search site or on the 14.12 Stellar site.

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15.S09 Special Seminar in Management

Class Info

Opportunity for group study by graduate students on current topics related to management not otherwise included in curriculum.

This class has no prerequisites.

15.S09 will be offered this semester (Spring 2019). It is instructed by Consult Department Headquarters.

Lecture occurs 10:00 AM to 11:30 AM on Mondays and Wednesdays in E62-250.

This class counts for a total of 0 credits.

You can find more information at the MIT + 15.S09 - Google Search site.

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