Subject UPDATES Spring 2020

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Check the subject updates for Spring Term 2020 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.S083 Introduction to Computational Thinking (Common Ground)
Half Term Subject - 2nd half; Undergraduate Level; Prereq: 6.0001; Coreq: 18.02 or equivalent; Units: 3-0-3; Instructors: Professor Alan Edelman, Visiting Professor David P. Sanders ; Schedule: MW1-2:30, room 34-301; labs TBD
6.246 Reinforcement Learning: Foundations and Methods
Graduate Level; Units: 4-0-8; Instructor: Prof. Cathy Wu, cathywu@mit.edu; Schedule: Lecture: MW9.30-11 (32-124) Recitation: R4-5 (32-124) or F4-5 (4-231); Enrollment Limited to 57
6.S975 Seminar Series: Advanced Topics in Signal Processing
Graduate Level; Units: 3-0-3; Prerequisites: 6.341; Instructor: Visiting Professor Yonina Eldar, course advisor Prof. Muriel Medard; Schedule: W1-3:30, room 5-217
6.884 Computational Sensorimotor Learning
Graduate Level; Units: 3-0-9; Prereqs: Permission of Instructor; Instructor: Professor Pulkit Agrawal; Schedule: Tue/Thu 2:30pm - 4:00pm, room 2-105
6.876 Graduate Topics in Cryptography and Privacy
Graduate Level; Units: 3-0-9; Prereqs: 6.875; Instructors: Professors Shafi Goldwasser, Vinod Vaikuntanathan; Schedule: F1-3, room 9-151
6.S084/6.887 Introduction to Program Synthesis
Undergraduate level AUS; Units: 3-0-9; Prereqs: 6.009, 6.042; Instructor: Professor Armando Solar-Lezama; Schedule: MW1-2:30, room 32-144
6.S083 Introduction to Computational Thinking (Common Ground)
Half Term Subject - 2nd half Undergraduate Level; Prereq: 6.0001; Coreq: 18.02 or equivalent; Units: 3-0-3; Instructors: Professor Alan Edelman, Visiting Professor David P. Sanders; Schedule: MW3-4:30, room 34-301; labs TBD
6.881 Optimization for Machine Learning
Graduate Level; Units 3-0-9; Prereqs: 18.06, 6.036; 6.041; 6.255; Instructor: Professor Suvrit Sra; Schedule: MW1-2:30, room 32-155
6.S082 Design for the Web: Languages and User Interfaces
Undergraduate Level AUS2; Enrollment limited. Preference for those who have not taken 6.170; Prereqs: 6.009; Units: 3-0-9; Instructor: Professor David Karger (karger@mit.edu); Scheduled:MW2:30-4, room 4-163, Recitation F2:30-4, room 4-231
6.894 Interactive Data Visualization
Graduate Level; Units: 3-0-9; Prereqs: 6.031; Instructor: Professor Arvind Satyanarayan (arvindsatya@mit.edu); Schedule: MW2:30-4, room 32-144
6.S077 Introduction to Data Science
Undergraduate; Units: 4-0-8; Prerequisites: 6.041A; Instructor: Devavrat Shah (devavrat@mit.edu); Schedule: TR1-2:30, room 4-153
6.347 Advanced Topics in Signal and Systems: Information Acquisition and Processing
Graduate Level; Units: 3-0-9; Instructor: Petros T. Boufounos (petros@boufounos.com); Schedule: TR1-2:30, Room 35-308
6.882 Embodied Intelligence
Graduate Level; Units: 3-0-9; Prerequisites: Required: 6.036 or 6.867 and 6.006 or 6.046; Recommended: one of 6.034, 6.804, 16.410, 6.834; Instructor: Professors Phillip Isola; Schedule: Lectures TR1-2:30, room 32-044; Enrollment limited to 50
6.890 Graph and Matrix Algorithms
Graduate Level; Units:3-0-9; Prereqs: 6.006, 6.046; Instructor: Professor Virginia Vassilevska Williams (virgito@gmail.com); Schedule: TR1-2:30, room 35-225
6.S979 Multi-Stakeholder Negotiation for Technical Experts
Graduate Level; Units 2-0-4; Prereq: Permission of Instructor; Instructors: Samuel Dinnar and Takeo Kuwabara; Schedule: T2-4pm, room 33-116
6.S897 Classics of CS
Graduate level; Units: 3-0-9; Prereqs: none; Instructor: Professor Harry R. Lewis, Visiting Professor; Schedule: MW10-11:30, room 32-044;
6.883/6.S076 Modeling with Machine Learning: From Algorithms to Applications
Graduate Level; Units: 3-0-9; Prereqs: 18.02, 6.006 or equivalent; permission of instructors; limited enrollment; Instructors: Professors Tommi Jaakkola (tommi@csail.mit.edu), Regina Barzilay (regina@csail.mit.edu) Schedule: WF10:30-12, room 32-123
6.885/9.S917 Probabilistic Programming and Artificial Intelligence
Graduate Level; Units: 3-0-9; Prereqs: Familiarity with programming and probability theory, plus permission of instructors; Instructors: Vikash Mansinghka, Josh Tenenbaum, and Martin Rinard; Schedule: TR3-4:30, room 34-302
6.886 Algorithm Engineering
Graduate Level; Units 3-0-9; Prereqs: 6.046, 6.172; Instructor: Prof. Julian Shun (jshun@mit.edu); Schedule: TR2:30-4, room 1-150