Course Atlas

Graduate CS Courses

CS523 Data Structure & Algorithms I Credits: 3
Content: This course introduces practical algorithms and data structures, for students entering graduate computer science from other fields of study.
Texts: TBA
Assessments: TBA
Prerequisites: The prerequisites are introductory programming and some discrete mathematics, which we expect our entering students already have. Students who have taken an undergraduate algorithms course (similar to our CS 323, and typically included in a Computer Science major) may place out.
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W301 MW      4:00PM - 5:15PM Michelangelo Grigni 30
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 W303 MW      1:00PM - 2:15PM Michelangelo Grigni 30
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: Cross-listed with BIOS 534. 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 W301 TuTh      1:00PM - 2:15PM Joyce Ho 30
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 W301 TuTh      2:30PM - 3:45PM Ken Mandelberg 20
CS554 Database Systems Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W301 TuTh      11:30AM - 12:45PM Shun Yan Cheung 30
CS557 Artificial Intelligence Credits: 3
Content: This course covers core areas of Artificial Intelligence including perception, optimization, reasoning, learning, planning, decision--making, knowledge representation, vision and robotics.
Texts: TBA
Assessments: TBA
Prerequisites: Undergraduate level of Artificial Intelligence or Machine Learning.
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W303 TuTh      10:00AM - 11:15AM Eugene Agichtein 15
CS573 Data Privacy and Security 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 Li Xiong 20
CS584 Topics in Computer Science: Computer Security Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
3 MSC W301 MW      2:30PM - 3:45PM Ymir Vigfusson 10
CS584 Topics in Computer Science: Programing Language Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
2 MSC W303 MW      11:30AM - 12:45PM James Lu 5
CS590 Teaching Seminar Credits: 1
Content: This course explores theoretical and practical approaches for effective teaching, with particular emphasis on the discipline of Computer Science. After this course, students will be able to demonstrate knowledge of multiple pedagogical strategies, write a syllabus, develop assessment items, and design and deliver lectures and presentations for a variety of different audiences.
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W201 F      2:00PM - 2:50PM Steven La Fleur 40
CS597R Directed Study: Professional Development Credits: 1
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W301 F      2:00PM - 3:00PM Shun Yan Cheung 30
CS597R Directed Study Credits: 1-9
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
2        Ymir Vigfusson 2
CS599 CS Research Credits: 1-9
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1        Jinho Choi 5
2        Dorian Arnold 5
3        Gari Clifford 5
4        Lee Cooper 5
5        Li Xiong 5
6        Joyce Ho 5
7        Ymir Vigfusson 5
CS700R Graduate Seminar Credits: 1
Content: This is a required course for all students in the PhD program. It comprises seminars given by faculty, invited guests, and students.
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W201 F      3:00PM - 4:00PM Dorian Arnold 30