Subject Updates FT 2015

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Check the subject updates for FT 2015 by clicking on the appropriate subject card on this page. These comprise the known changes for subject offerings by the Department of Electrical Engineering and Computer Science. For further information about any subject contact the instructor directly.

6.876J Advanced Topics in Crypotography: Lattices and Applications
Graduate Units: 3-0-9 Prerequisite: 6.046 and 6.045 (or equivalent) Instructor: Professor Vinod Vaikuntanathan Schedule: MW2:30-4, room 26-328
6.S193 Introduction to EECS Prototyping
Undergraduate; Units: 0-3-0; Prerequisites: none; Instructors: Prof. Karl Berggren, Gavin Darcey and Dave Lewis; Schedule: Thursdays 2-5, room 38-501; Enrollment limited.
6.S978 Graphs, Linear Algebra, and Continuous Optimization
Graduate; Units: 3-0-9; Prerequisites: 18.06, 6.006, 6.046 recommended, 6.041 or 18.600; Instructor: Prof. Aleksander Madry Schedule: TR2:30-4, room 24-307
6.S083 Computation and Linguistics
Undergraduate (AUS); Units: 3-0-9; Prerequisites: 6.034 or 6.036; 6.045 or 6.840; or 24.932; or permission of instructor; Instructor: Prof. Bob Berwick; Schedule: MW1-2:30, room 2-105
6.S04 Special Subject: Fundamentals of Programming
Undergraduate Prerequisites: 6.0001 or 6.01 Units: 4-4-4 Institute Lab Instructor: Profs. Srini Devadas and Adam Chlipala Schedule: L T11-12:30, room 54-100; Lab 1 W12:30-2:30 (3-270); Lab 2 F2-4 (4-237)
6.S899 Seminar on Physics and Computation
Graduate; Units: 3-0-9; Prerequisites: 6.845 or 2.111; Instructor: Prof. Scott Aaronson (aaronson@csail.mit.edu); Schedule: TR2:30-4, room 5-134
6.261 Network Coding
Graduate Units: 3-0-9 Prerequisites: Permission of instructor Instructor: Prof. Muriel Medard Schedule: TR9:30-11, room 34-302
6.883 Advanced Machine Learning
Graduate Units: 3-0-9 Prerequisites: 6.437, 6.438 or 6.867 Instructors: Professor Stefanie Jegelka Schedule: MW11-12:30, room 36-144
6.904 Ethics for Engineers
Undergraduate Prerequisites: None Units: 2-0-4 School-Wide Elective Subject Instructors: Profs. D. Doneson, B. L. Trout Schedule: M3-5, room 66-144
6.S897 Large-Scale Systems
Graduate Units: 3-0-9 Prerequisites: 6.824, 6.828 or 6.830 Instructor: Professor Matei Zaharia Schedule: TR2:30-4, room 34-301
9.520 Statistical Learning Theory and Applications
Graduate Units: 3-0-9 Prerequisites: 6.867, 6.041, 18.06, or permission of instructor Schedule: MW1-2:30, room 46-3189
9.523 Aspects of Computational Theory of Intelligence
Graduate Units: 3-0-9 Prerequisites: Permission of instructor Schedule: TBD Instructors: Prof. Tomaso Poggio,