Graduate Subjects
The EECS Department offers a variety of graduate subjects in computer science and related disciplines. The graduate subjects in computer science offered by the EECS Department are organized into three (overlapping) concentration areas:
Systems |
|
6.263 |
Data communications Networks |
6.371 |
Introduction to VLSI Systems |
6.821 |
Programming Languages |
6.823 |
Computer System Architecture |
6.824 |
Distributed Computer Systems Engineering |
6.826 |
Principles of Computer Systems |
6.827 |
Multithreaded Parallelism: Language and Compilers |
6.829 |
Computer Networks |
6.837 |
Computer Graphics |
6.846 |
Parallel Processing: Systems Architecture and Applications |
6.857 |
Network and Computer Security |
Theory |
|
6.336 |
Introduction to Numerical Algorithms |
6.337 |
Numerical Methods of Applied Mathematics |
6.338 |
Parallel Scientific Computing |
6.840J |
Theory of Computation (grad. version of 6.045) |
6.841J |
Advanced Complexity Theory |
6.844 |
Computability Theory of and with Scheme |
6.852J |
Distributed Algorithms |
6.854J |
Advanced Algorithms |
6.855J |
Network Optimization |
6.856J |
Randomized Algorithms |
6.859 |
Combinatorial Optimization |
6.874 |
Computational Functional Genomics |
6.875J |
Cryptography and Cryptanalysis |
6.876J |
Advanced Topics in Cryptography |
Artificial Intelligence |
|
6.345 |
Automatic Speech Recognition |
6.825 |
Techniques in Artificial Intelligence |
6.833 |
Human Intelligence Enterprise |
6.834 |
Intelligent Embedded Systems |
6.836 |
Embodied Intelligence |
6.838 |
Advanced Topics in Computer Graphics |
6.839 |
Advanced Computer Graphics |
6.863J |
Natural Language and the Computer Representation of Knowledge |
6.866 |
Machine Vision (graduate version of 6.801) |
6.867 |
Machine Learning and Neural Networks |
6.868J |
The Society of Mind |
6.871 |
Knowledge-based Applications Systems |
6.872J |
Medical Computing |
6.873 |
Biomedical Decision Support |
6.878 |
Advanced Computational Biology: Genomes, Networks, Evolution |
Specialized seminar subjects, often covering advanced research topics, are offered on an irregular basis under the course numbers 6.891--9. Detailed information is available from graduate counselors on registration day and/or EECS.
Numerous additional graduate subjects of interest to Area II students are offered in other departments of MIT such as Architecture (Course 4), Brain and Cognitive Sciences (Course 9), Management (Course 15), Mathematics (Course 18) and Linguistics and Philosophy (Course 24). Courses in computer Science taught in the Division of Applied Science at Harvard University are also available through cross-registration.
(Images, left) Work of Area II Professor Polina Golland: Three templates identified by the algorithm as representative of the entire population. It also shows the histograms of ages associated with each templates for a model based on two templates (left) and a model based on three templates (right). In the three-template model, the probably Alzheimer's patients were significantly more likely associated with the third template than the healthy controls of matched age.