4 Classes (48 Units)

6.004 (12), 6.006 (12), 6.036 (12), 21W.789 (12)

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6.004 Computation Structures

Class Info

Introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies. Multilevel implementation strategies; definition of new primitives (e.g., gates, instructions, procedures, and processes) and their mechanization using lower-level elements. Analysis of potential concurrency; precedence constraints and performance measures; pipelined and multidimensional systems. Instruction set design issues; architectural support for contemporary software structures.

This class has no prerequisites.

6.004 will not be offered this semester. It will be instructed by D. Sanchez, S. Z. Hanono Wachman and C. J. Terman.

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

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+6.004&btnG=Google+Search&inurl=https site.

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6.006 Introduction to Algorithms

Class Info

Introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems. Emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.

This class has 6.042, and 6.0001 as prerequisites. This class has 6.009 as a corequisite.

6.006 will not be offered this semester. It will be instructed by S. Devadas.

Lecture occurs 11:00 AM to 12:00 PM on Tuesdays and Thursdays in 26-100.

This class counts for a total of 12 credits.

You can find more information at the Materials site or on the 6.006 Stellar site.

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6.036 Introduction to Machine Learning

Class Info

Introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction; formulation of learning problems; representation, over-fitting, generalization; clustering, classification, probabilistic modeling; and methods such as support vector machines, hidden Markov models, and Bayesian networks. Students taking graduate version complete additional assignments. Meets with 6.862 when offered concurrently. Enrollment may be limited.

This class has 6.0001 as a prerequisite.

6.036 will not be offered this semester. It will be instructed by T. Jaakkola, R. Barzilay and L. P. Kaelbling.

Lecture occurs 9:30 AM to 11:00 AM on Tuesdays in 26-100.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+6.036&btnG=Google+Search&inurl=https site or on the 6.036 Stellar site.

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21W.789 Communicating with Mobile Technology

Class Info

Students work in small collaborative design teams to propose, build, and document a semester-long project focused on mobile applications for cell phones. Additional assignments include creating several small mobile applications such as context-aware mobile media capture and games. Students document their work through a series of written and oral proposals, progress reports, and final reports. Covers the basics of J2ME and explores mobile imaging and media creation, GPS location, user-centered design, usability testing, and prototyping. Java experience recommended. Limited to 18.

This class has 1.00 as a prerequisite.

21W.789 will not be offered this semester. It will be available in the Spring semester, and will be instructed by E. Barrett.

This class counts for a total of 12 credits. This class counts as a HASS H. This class counts as a CI-H.

You can find more information at the MIT + 21W.789 - Google Search site.

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