Course Breadth Requirement

M.Sc. thesis students must take courses from at least two of the categories A/B/C. For the category of any course not listed below such as a new course or a 500 level Topics courses, students should contact the Graduate Program Director of the their program.

Category A: Theory

COMP 523 Language-based Security (3 credits)
COMP 525 Formal Verification (3 credits)
COMP 527 Logic and Computation
COMP 531 Advanced Theory of Computation (3 credits)
COMP 540 Matrix Computations (4 credits)
COMP 547 Cryptography and Data Security (4 credits)
COMP 552 Combinatorial Optimization (4 credits)
COMP 553 Algorithmic Game Theory (4 credits)
COMP 554 Approximation Algorithms (4 credits)
COMP 562 Theory of Machine Learning (4 credits)
COMP 611 Mathematical Tools for Computer Science (4 credits)
COMP 627 Theoretical Programming Languages (4 credits)
COMP 642 Numerical Estimation Methods (4 credits)
COMP 647 Advanced Cryptography (4 credits)
COMP 649 Quantum Cryptography (4 credits)
COMP 690 Probabilistic Analysis of Algorithms (4 credits)
COMP 760 Advanced Topics Theory 1 (4 credits)
COMP 761 Advanced Topics Theory 2 (4 credits)

Category B: Systems

COMP 512 Distributed Systems (4 credits)
COMP 520 Compiler Design (4 credits)
COMP 529 Software Architecture (4 credits)
COMP 533 Model-Driven Software Development (3 credits)
COMP 535 Computer Networks 1 (4 credits)
COMP 555 Software Privacy (4 credits)
COMP 585 Intelligent Software Systems (4 credits)
COMP 614 Distributed Data Management (4 credits)
COMP 667 Software Fault Tolerance (4 credits)
COMP 762 Advanced Topics Programming 1 (4 credits)
COMP 763 Advanced Topics Programming 2 (4 credits)
COMP 764 Advanced Topics Systems 1 (4 credits)
COMP 765 Advanced Topics Systems 2 (4 credits)

Category C: Applications

COMP 511 Network Science
COMP 521 Modern Computer Games (4 credits)
COMP 526 Probabilistic Reasoning and AI (3 credits)
COMP 546 Computational Perception (4 credits)
COMP 549 Brain-Inspired Artificial Intelligence (3 credits)
COMP 550 Natural Language Processing (3 credits)
COMP 551 Applied Machine Learning (4 credits)
COMP 557 Fundamentals of Computer Graphics (4 credits)
COMP 558 Fundamentals of Computer Vision (4 credits)
COMP 559 Fundamentals of Computer Animation (4 credits)
COMP 561 Computational Biology Methods and Research (4 credits)
COMP 564 Advanced Computational Biology Methods and Research (3 credits)
COMP 565 Machine Learning in Genomics and Healthcare (4 credits)
COMP 579 Reinforcement Learning (4 credits)
COMP 588 Probabilistic Graphical Models (4 credits)
COMP 618 Bioinformatics: Functional Genomics (3 credits)
COMP 680 Mining Biological Sequences (4 credits)
COMP 652 Machine Learning (4 credits)
COMP 766 Advanced Topics Applications 1 (4 credits)
COMP 767 Advanced Topics: Applications 2 (4 credits)