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

Undergraduate CS Courses

CS170 Intro to Computer Science I Credits: 4
Section Location Meeting Time Instructor Enrollment
1 MSC E208
MSC E308A
MW   5:30PM - 6:45PM
F   8:00AM - 8:50AM
Davide Fossati 25
2 MSC E208
MSC E308A
MW   5:30PM - 6:45PM
F   9:00AM - 9:50AM
Davide Fossati 25
3 MSC E208
MSC E308A
MW   5:30PM - 6:45PM
F   10:00AM - 10:50AM
Davide Fossati 25
4 MSC E208
MSC E308A
MW   5:30PM - 6:45PM
F   11:00AM - 11:50AM
Davide Fossati 25
5 MSC E208
MSC E308A
MM   5:30PM - 6:45PM
F   3:00PM - 4:50PM
Davide Fossati 25
6 MSC E208
MSC E308A
MM   5:30PM - 6:45PM
F   4:00PM - 4:50PM
Davide Fossati 25
7 MSC E208
MSC E308A
MM   5:30PM - 6:45PM
F   3:00PM - 3:50PM
Davide Fossati 25
CS171 Intro.to Computer Science II Credits: 3
Section Location Meeting Time Instructor Enrollment
1 White Hall 206 MW      10:00AM - 11:15AM Nosayba El-Sayed 45
2 White Hall 102 MW      11:30AM - 12:45PM Gary Vestal 45
CS224 Foundations of Comp.Science Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC W201 TuTh      8:30AM - 9:45AM 60
2 MSC W201 TuTh      10:00AM - 11:15AM Seyedamin Pouriyeh 60
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
CS255 Comp.Arch./Machine Level Prog. Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC W201 TuTh      11:30AM - 12:45PM Steven La Fleur 50
2 MSC W201 TuTh      2:30PM - 3:45PM Steven La Fleur 65
CS325 Artificial Intelligence Credits: 3
Section Location Meeting Time Instructor Enrollment
1 White Hall 112 TuTh      2:30PM - 3:45PM Seyedamin Pouriyeh 45
CS326 Analysis of Algorithms Credits: 3
Section Location Meeting Time Instructor Enrollment
1 White Hall 102 TuTh      1:00PM - 2:15PM 35
2 MSC W201 TuTh      4:00PM - 5:15PM Michelangelo Grigni 35
CS334 Machine Learning Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC W201 MW      1:00PM - 2:15PM Li Xiong 55
CS350 Systems Programming Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC W201 MW      8:30AM - 9:45AM Dorian Arnold 45
2 MSC W301 TuTh      11:30AM - 12:45PM Ken Mandelberg 45
CS370 Computer Science Practicum Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC N304 MW      1:00PM - 2:15PM Davide Fossati 35
2 MSC N304 MW      2:30PM - 3:45PM Davide Fossati 35
3 MSC W303 MW      11:30AM - 12:45PM Ymir Vigfusson 35
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
CS485 Spatial Computing Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC N306 TuTh      10:00AM - 11:15AM 30
CS485 Information Visualization Credits: 3
Section Location Meeting Time Instructor Enrollment
2 MSC N304 TuTh      11:30AM - 12:45PM Emily Wall 30



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 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 W301 TuTh      4:00PM - 5:15PM 25
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 Spatial Computing Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC N306 TuTh      10:00AM - 11:15AM 10
CS584 Information Visualization Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
2 MSC N304 TuTh      11:30AM - 12:45PM Emily Wall 10
CS596R CS Master's Practicum Credits: 1
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1        10
CS700R Graduate Seminar Credits: 1
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W201 F      1:00PM - 2:15PM Vaidy Sunderam