5 Classes (60 Units)

6.438 (12), 6.814 (12), 6.829 (12), 6.852 (12), 18.404 (12)

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6.438 Algorithms for Inference

Class Info

Introduction to statistical inference with probabilistic graphical models. Directed and undirected graphical models, and factor graphs, over discrete and Gaussian distributions; hidden Markov models, linear dynamical systems. Sum-product and junction tree algorithms; forward-backward algorithm, Kalman filtering and smoothing. Min-sum and Viterbi algorithms. Variational methods, mean-field theory, and loopy belief propagation. Particle methods and filtering. Building graphical models from data, including parameter estimation and structure learning; Baum-Welch and Chow-Liu algorithms. Selected special topics.

This class has 6.008, 6.041B, 6.436, and 18.06 as prerequisites.

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

This class counts for a total of 12 credits. This is a graduate-level class.

You can find more information on MIT OpenCourseWare at the Algorithms for Inference site or on the 6.438 Stellar site.

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Algorithms for Inference
Tags
algorithm factor graph inference

6.814 Database Systems

Class Info

Topics related to the engineering and design of database systems, including data models; database and schema design; schema normalization and integrity constraints; query processing; query optimization and cost estimation; transactions; recovery; concurrency control; isolation and consistency; distributed, parallel and heterogeneous databases; adaptive databases; trigger systems; pub-sub systems; semi structured data and XML querying. Lecture and readings from original research papers. Semester-long project and paper. Students taking graduate version complete different assignments. Enrollment may be limited.

This class has 6.033, 6.046, and 6.006 as prerequisites.

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

This class counts for a total of 12 credits.

You can find more information at the 6.830/6.814: Database Systems site or on the 6.814 Stellar site.

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6.829 Computer Networks

Class Info

Topics on the engineering and analysis of network protocols and architecture, including architectural principles for designing heterogeneous networks; transport protocols; Internet routing; router design; congestion control and network resource management; wireless networks; network security; naming; overlay and peer-to-peer networks. Readings from original research papers. Semester-long project and paper.

This class has 6.033 as a prerequisite.

6.829 will not be offered this semester. It will be available in the Fall semester, and will be instructed by F. Adib and D. Katabi.

Lecture occurs 1:00 PM to 2:30 PM on Tuesdays and Thursdays in 32-144.

This class counts for a total of 12 credits.

You can find more information at the 6.829: Computer Networks, Fall 2017 site or on the 6.829 Stellar site.

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6.829: Computer Networks, Fall 2017

6.852 Distributed Algorithms

Class Info

Design and analysis of concurrent algorithms, emphasizing those suitable for use in distributed networks. Process synchronization, allocation of computational resources, distributed consensus, distributed graph algorithms, election of a leader in a network, distributed termination, deadlock detection, concurrency control, communication, and clock synchronization. Special consideration given to issues of efficiency and fault tolerance. Formal models and proof methods for distributed computation.

This class has 6.046 as a prerequisite.

6.852 will not be offered this semester. It will be available in the Fall semester, and will be instructed by N. A. Lynch.

Lecture occurs 11:00 AM to 12:30 PM on Tuesdays and Thursdays in 32-144.

This class counts for a total of 12 credits.

In the Fall 2015 Subject Evaluations, 6.852 was rated 6.3 out of 7.0. You can find more information at the Class Page site or on the 6.852 Stellar site.

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Class Page
Tags
restricted materials usage

18.404 Theory of Computation

Class Info

A more extensive and theoretical treatment of the material in 6.045J/18.400J, emphasizing computability and computational complexity theory. Regular and context-free languages. Decidable and undecidable problems, reducibility, recursive function theory. Time and space measures on computation, completeness, hierarchy theorems, inherently complex problems, oracles, probabilistic computation, and interactive proof systems.

This class has 18.200, and 18.062J as prerequisites.

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

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+18.404&btnG=Google+Search&inurl=https site or on the 18.404 Stellar site.

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