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

CS170	Introduction to Computer Science I			Credits: 4
Section	Location	Meeting Time	Instructor	Enrollment
1	ONLINE	MW 4:20PM - 5:35PM F 8:00AM - 8:50AM	Davide Fossati	40
2	ONLINE	MW 4:20PM - 5:35PM F 9:40AM - 10:30AM	Davide Fossati	40
3	ONLINE	MW 4:20PM - 5:35PM F 11:20AM - 12:10PM	Davide Fossati	40
4	ONLINE	MW 4:20PM - 5:35PM F 2:40PM - 3:30PM	Davide Fossati	40
5	ONLINE	MW 4:20PM - 5:35PM F 4:20PM - 5:10PM	Davide Fossati	40
6	ONLINE	MW 4:20PM - 5:35PM F 6:00PM - 6:50PM	Davide Fossati	40

CS171	Introduction to Computer Science II			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	ONLINE	MW 11:20AM - 12:35PM	Nosayba El-Sayed	45
2	ONLINE	TuTh 9:40AM - 10:55AM	Ymir Vigfusson	35

CS253	Data Structures and Algorithms			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	ONLINE	MW 1:00PM - 2:15PM	Jinho Choi	65
2	ONLINE	TuTh 1:00PM - 2:15PM	Michelangelo Grigni	65

CS255	Computer Organization and Assembly Programming			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	ONLINE	TuTh 11:20AM - 12:35PM	Shun Yan Cheung	65
2	ONLINE	TuTh 1:00PM - 2:15PM	Shun Yan Cheung	35

CS325	Artificial Intelligence			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	ONLINE	Th 9:40AM - 10:55AM	Steven La Fleur	50

CS326	Analysis of Algorithms			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	ONLINE	Th 2:40PM - 3:55PM	Steven La Fleur	35

CS334	Machine Learning			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	ONLINE	MW 1:00PM - 2:15PM	Li Xiong	65

CS377	Database Systems			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	ONLINE	MW 9:40AM - 10:55AM	Nosayba El-Sayed	55

CS485	Topics in Computer Science: Structure of Information Networks			Credits: 3
Section	Location	Meeting Time	Instructor	Enrollment
1	ONLINE	TuTh 1:00PM - 2:15PM	Ymir Vigfusson	10

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	ONLINE	TuTh 9:40AM - 10:55AM	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: 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	ONLINE	MW 9:40AM - 10:55AM	Yubin Park	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	ONLINE	TuTh 2:40PM - 3:55PM	Ken Mandelberg	40

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	ONLINE	MW 11:20AM - 12:35PM	James Lu	30

CS584	Topics in Computer Science: Structure of Information Networks			Credits: 3
Content: This course will explore the fundamentals of Quantum Computing. Quantum computers have the potential to efficiently solve certain problems that are intractable for traditional classical computers. Topics include: fundamental models of quantum computing, reversible computing, qubits, entanglement and non-locality, quantum protocols, quantum circuits; simple quantum algorithms, quantum Fourier transform, Shor factoring algorithm, Grover search algorithm, quantum error correction.
Texts: TBA
Assessments: TBA
Prerequisites: Equivalent of CS 326 Analysis of Algorithms and Linear Algebra (such as Math 221)
Section	Location	Meeting Time	Instructor	Enrollment (max)
1	ONLINE	TuTh 1:00PM - 2:15PM	Ymir Vigfusson	15

CS584	Topics in Computer Science: TBA			Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section	Location	Meeting Time	Instructor	Enrollment (max)
4	ONLINE	TuTh 4:20PM - 5:35PM	Abeed Sarker	30