Course Atlas

The Course Atlas lists all courses offered in a given semester.

The Course Catalog lists all possible courses that can be offered. There is no guarantee that all listed classes will be offered in a given semester.

This page lists all of the classes offered for CS in a given semester.

Courses

CS253	Data Structures and Algorithms			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	MSC W301	MW 10:00AM - 11:15AM	Carl Yang	35
2	White Hall 103	MW 1:00PM - 2:15PM	Liang Zhao	35
3	MSC W303	MW 4:00PM - 5:15PM	Liang Zhao	35

CS325	Artificial Intelligence			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	White Hall 112	TuTh 2:30PM - 3:45PM	Seyedamin Pouriyeh	45

CS334	Machine Learning			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	MSC W201	MW 1:00PM - 2:15PM	Li Xiong	55

CS377	Database Systems			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	White Hall 102	MW 8:30AM - 9:45AM	Nosayba El-Sayed	60

CS385	Research Practicum in AI			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	White Hall 206	MW 2:30PM - 3:45PM	Jinho Choi	55

CS385	Social & Ethical Issues in Computing			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
2	MSC W201	MW 4:00PM - 5:15PM	Kristin Williams	15

CS485	Spatial Computing			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	MSC N306	TuTh 10:00AM - 11:15AM	Andreas Züfle	30

CS485	Information Visualization			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
2	MSC N304	TuTh 11:30AM - 12:45PM	Emily Wall	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 W301	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 W303	MW 11:45AM - 1:00PM	Eugene Agichtein	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 W303	TuTh 2:30PM - 3:45PM	Ken Mandelberg	20

CS584	Social & Ethical Issues in Computing			Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section	Location	Meeting Time	Instructor	Enrollment (max)
3	MSC W201	MW 4:00PM - 5:15PM	Kristin Williams	10