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.