6.03 and 6.036 have conflicting lecture times!

4 Classes (48 Units)

6.006 (12), 6.03 (12), 6.036 (12), 21L.011 (12)

Pre-Register


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 be offered this semester (Fall 2017). It is instructed by S. Micali, M. Medard and J. Ku.

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 on MIT OpenCourseWare at the Introduction to Algorithms site or on the 6.006 Stellar site.

MIT 6.006 Introduction to Algorithms Related Textbooks
MIT 6.006 Introduction to Algorithms On The Web

6.03 Introduction to EECS via Medical Technology

Class Info

Explores biomedical signals generated from electrocardiograms, glucose detectors or ultrasound images, and magnetic resonance images. Topics include physical characterization and modeling of systems in the time and frequency domains; analog and digital signals and noise; basic machine learning including decision trees, clustering, and classification; and introductory machine vision. Labs designed to strengthen background in signal processing and machine learning. Students design and run structured experiments, and develop and test procedures through further experimentation.

This class has 18.02, and 8.02 as prerequisites.

6.03 will not be offered this semester. It will be available in the Spring semester, and will be instructed by C. M. Stultz and E. Adalsteinsson.

Lecture occurs 2:00 PM to 3:00 PM on Mondays and Wednesdays in 34-101.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+6.03&btnG=Google+Search&inurl=https site or on the 6.03 Stellar site.

MIT 6.03 Introduction to EECS via Medical Technology Related Textbooks
MIT 6.03 Introduction to EECS via Medical Technology On The Web

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 be offered this semester (Fall 2017). It is instructed by T. S. Jaakkola, L. P. Kaelbling and T. Lozano-Perez.

Lecture occurs 2:30 PM to 4:00 PM on Mondays and Wednesdays in 34-501.

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.

Unspecified Textbooks
Save up to up to 34% by purchasing through MIT Textbooks!
MIT 6.036 Introduction to Machine Learning Related Textbooks

21L.011 The Film Experience

Class Info

Concentrates on close analysis and criticism of a wide range of films, including works from the early silent period, documentary and avant-garde films, European art cinema, and contemporary Hollywood fare. Through comparative reading of films from different eras and countries, students develop the skills to turn their in-depth analyses into interpretations and explore theoretical issues related to spectatorship. Syllabus varies from term to term, but usually includes such directors as Eisenstein, Fellini, Godard, Griffith, Hawks, Hitchcock, Kubrick, Kurosawa, Tarantino, Welles, and Wiseman.

This class has no prerequisites.

21L.011 will be offered this semester (Fall 2017). It is instructed by E. Brinkema.

Lecture occurs 3:30 PM to 5:00 PM on Tuesdays in 3-270.

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

You can find more information at the http://www.google.com/search?&q=MIT+%2B+21L.011&btnG=Google+Search&inurl=https site or on the 21L.011 Stellar site.

Required Textbooks
Save up to up to 89% by purchasing through MIT Textbooks!
MIT 21L.011 The Film Experience Related Textbooks

© Copyright 2015