Course Atlas

Graduate CS Courses

CS526 Algorithms Credits: 3
Content: This course is a graduate level introduction to the design and analysis of algorithms. Although we will review some undergraduate level material, we will instead emphasize reading and experimentation at a level appropriate for the initiation of research. This course will have both theoretical and practical content. As course highlights, students will be expected to implement and analyze the performance of a fundamental data structure, starting with a close reading of the original research paper.
Texts: TBA
Assessments: TBA
Prerequisites: CS 224 and CS 253.
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W201 TuTh      1:00PM - 2:15PM Michelangelo Grigni 20
CS534 Machine Learning Credits: 3
Content: This course covers fundamental machine learning theory and techniques. The topics include basic theory, classification methods, model generalization, clustering, and dimension reduction. The material will be conveyed by a series of lectures, homeworks, and projects.
Texts: TBA
Assessments: TBA
Prerequisites: Knowledge of linear algebra, multivariate calculus, basic statistics and probability theory. Homework and project will require programming in Python, Matlab, C/C++ or R. Or permission by the instructor.
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W201 TuTh      11:30AM - 12:45PM Joyce Ho 30
CS541 Information Visualization Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W303 MW      11:30AM - 12:45PM Emily Wall 10
CS551 Systems Programming Credits: 3
Content: Systems programming topics will be illustrated by use of the Unix operating system. Topics include: file i/o, the tty driver, window systems, processes, shared memory, message passing, semaphores, signals, interrupt handlers, network programming and remote procedure calls. Programming examples and assignments will illustrate the system interface on actual computer hardware. All assignments will be in written in C. The department's computing lab will be used in the course to allow students to get hands-on experience with operating system and hardware topics that cannot effectively be pursued on a central timesharing computer.
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W201 TuTh      2:30PM - 3:45PM Ken Mandelberg 30
CS557 Artificial Intelligence Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W303 MW      10:00AM - 11:15AM Eugene Agichtein 30
CS570 Data Mining Credits: 3
Content: TBA
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Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W303 MW      4:00PM - 5:15PM Wei Jin 30
CS571 Natural Language Processing Credits: 3
Content: TBA
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Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W301 MW      5:30PM - 6:45PM Fei Liu 30
CS584 Human-AI Interaction Credits: 3
Content: TBA
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Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W303 TuTh      4:00PM - 5:15PM Chinmay Kulkarni 10
CS584 Social and Ethical Issues in Computing Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
3 MSC E408 MW      1:00PM - 2:15PM Kristin Williams 15
CS584 Computer Vision Credits: 3
Content: TBA
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Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
4 MSC E406 TuTh      10:00AM - 11:15AM Jinho Choi 8
CS700R Graduate Seminar Credits: 1
Content: TBA
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Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W201 F      10:00AM - 11:15AM Vaidy Sunderam 70
CS799R Dissertation Research Credits: 1-9
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W201 F      11:30AM - 0:45AM Vaidy Sunderam 70