Core InfoSys Graduate Subjects
Area I offers a broad range of graduate subjects in its constituent fields, most of which can be taken with few prerequisites other than the common undergraduate background discussed above.
Certain of these graduate subjects are regarded as “core,” in the sense that they are appropriate for first-year graduate students with adequate undergraduate background, and are prerequisites for further subjects in the same area. These core subjects include:
- 6.241 (Dynamic Systems and Control)
- 6.251 (Introduction to Mathematical Programming) or
- 6.255J (Optimization Methods)
- 6.262 (Discrete Stochastic Processes)
- 6.341 (Discrete-Time Signal Processing)
- 6.436 (Fundamentals of Probability)
- 6.437 (Inference and Information)
- 6.438 (Algorithms for Inference)
- 6.450 (Principles of Digital Communications I)
Most first-year graduate students should plan to take at least two of these core subjects in their first year.
All of these subjects assume a fairly high degree of mathematical maturity and involve a relatively heavy time commitment. It is always better to take fewer subjects each term and do well in each than to take more subjects and do mediocre work in all of them.