3 Classes (36 Units)

6.806 (12), 6.819 (12), IDS.012 (12)

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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 R. A. Barzilay.

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

This class counts for a total of 12 credits.

You can find more information at the 6.805/STS085 Home site or on the 6.806 Stellar site.

MIT 6.806 Advanced Natural Language Processing Related Textbooks
MIT 6.806 Advanced Natural Language Processing On The Web
6.805/STS085 Home

6.819 Advances in Computer Vision

Class Info

Advanced topics in computer vision with a focus on the use of machine learning techniques and applications in graphics and human-computer interface. Covers image representations, texture models, structure-from-motion algorithms, Bayesian techniques, object and scene recognition, tracking, shape modeling, and image databases. Applications may include face recognition, multimodal interaction, interactive systems, cinematic special effects, and photorealistic rendering. Covers topics complementary to 6.801. Students taking graduate version complete additional assignments.

This class has 6.041B, 6.042, and 18.06 as prerequisites.

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

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+6.819&btnG=Google+Search&inurl=https site or on the 6.819 Stellar site.

MIT 6.819 Advances in Computer Vision Related Textbooks

IDS.012 Statistics, Computation and Applications

Class Info

Hands-on analysis of data demonstrates the interplay between statistics and computation. Includes four modules, each centered on a specific data set, and introduced by a domain expert. Provides instruction in specific, relevant analysis methods and corresponding algorithmic aspects. Potential modules may include medical data, gene regulation, social networks, finance data (time series), traffic, transportation, weather forecasting, policy, or industrial web applications. Projects address a large-scale data analysis question. Students taking graduate version complete additional assignments. Enrollment limited; priority to Statistics and Data Science minors, and to juniors and seniors.

This class has 6.01, 6.0002, 18.03, 18.06, 2.087, 6.008, 6.041B, 14.30, 16.09, and 18.05 as prerequisites.

IDS.012 will not be offered this semester. It will be available in the Fall semester, and will be instructed by S. Jegelka and C. Uhler.

Lecture occurs 11:00 AM to 12:30 PM on Mondays and Wednesdays in 26-100.

This class counts for a total of 12 credits.

You can find more information at the Data, Systems, and Society (IDS) < MIT site.

MIT IDS.012 Statistics, Computation and Applications Related Textbooks
MIT IDS.012 Statistics, Computation and Applications On The Web

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