|
P. Ragde | 600 - 081 | Fundamentals of CS for DS | ||
| T. Ozsu | 638 - 081 | Principles of Data Mgmt & Use | ||
|
R. Trefler |
Open background |
SE | 745 - 001 |
Computer-Aided Verification |
|
S. Al-Kiswany |
Open
background |
HS |
754 - 001 |
Advanced Distributed Systems |
| G. Kamath | The prerequisites are an undergraduate level of algorithms, mathematical maturity, and exposure to probability. | AC | 761 - 001 | Randomized Algorithms |
|
J. Watrous |
CS 768 Quantum Information Processing or equivalent |
QIC |
766 - 001 | Theory of Quantum Information |
|
R. Cleve |
QIC |
768 - 001 |
Quantum Information Processing | |
| H. Desterck |
A basic UG course on numerical methods and some experience in Python programming are strongly recommended. Students who have previously taken two or more courses on numerical methods, including a course on numerical linear algebra, are not recommended to take this course Similar UG courses are: CS 370, CS 371, AMATH 242, CS 335, ECE 204, CS 475, CS 476 | SSC | 770 - 001 | Numerical Analysis |
| K. Fountoulakis | Knowledge of linear algebra, multivariate calculus, basic analysis (convergence, limits) basic probability (common distributions, means, and so on). Knowledge of programming in one of Python or Matlab. | COS | 794 - 001 | Optimization for Data Science |
| J. Geelen | AC | 795 - 001 | Fundamentals of Optimization | |
| M. Grossman | Open background | AI | 798 - 001 | Advanced Research Topics: Artificial Intelligence: Law, Ethics and Policy |
|
T. Brown | Data structures, C/C++ systems programming; concurrent and parallel programming helpful | HS/ AC |
798 - 002 | Advanced Research Topics: Multicore Programming and Concurrent Data Structures |
| P. Ragde | Open background | PLG | 842 - 001 | Advanced Topics in Language Design and Implementation: Dependent Types and Software Verification |
| M. Godfrey | Basic CS undergrad background (including upper year systems courses) and/or professional software development experience | SE | 846 - 001 | Advanced Topics in Software Engineering: Empirical Software Evolution |
| K. Daudjee | Open background | DB | 848 - 001 | Advanced Topics in Data Bases: Data Infrastructure |
| X. He | The course is open to interested graduate students with sufficient mathematical maturity. Basic knowledge in algorithms, proof techniques, and probability will be assumed. Familiarity with databases and machine learning would help but is not necessary. | DB | 848 - 002 | Advanced Topics in Data Bases: Privacy and Fairness in Data Science |
| O. Abari | Open background | HS | 854 - 001 | Advanced Topics in Computer Systems: loT and Intelligent Connectivity |
| F. Kerschbaum | An introductory course in security, privacy and cryptography | AI/ HS | 858 - 001 | Security and Privacy for AI and Machine Learning |
| S. Ben-David | Open background | AC | 860 - 001 | Advanced Topics in Algorithms and Complexity:Quantum Lower Bounds |
| B. Ma | Open background | BI | 882 - 001 | Advanced Topics in Bioinformatics: Machine Learning in Computational Proteomics |
| M. McGuire | Previous course in computer graphics. | CG | 888 - 001 | Advanced Rendering Seminar |
| R. Cohen | Open background | 898 - 001 | Technological Solutions to Social Problems of Computers |