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: There will be about six regular homework assignments, including both written and programming components, counting for at least half of the grade. There will be a take-home mid-term exam and a take-home final exam. The examinations will emphasize both analysis and reading.
Prerequisites: CS 224 and CS 253.
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W303 MW      1:00PM - 2:15PM Michelangelo Grigni
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
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
CS556 Compiler Constuction Credits: 3
Content: An introduction to the algorithms and data structures used to construct a high level language compiler. Topics include: formal language specification, lexical analysis, parsing, and code generation.
Texts: TBA
Assessments: A substantial portion of this course will involve a student project to construct a compiler for a simplified programming language. Working knowledge of C or C++ is highly recommended.
Prerequisites: CS 323, CS 255, and CS 424, or their equivalents.
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W303 MW      11:30AM - 12:45PM James Lu
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 MW      4:00PM - 5:15PM Eugene Agichtein
CS563 Digital Image Processing Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W303 TuTh      11:30AM - 12:45PM Jun Kong
CS570 Data Mining Credits: 3
Content: This course offers an introduction to data mining concepts and techniques. The goal is for the students to have a solid foundation in data mining that allows them to apply data mining techniques to real-world problems and to conduct research and development in new data mining methods. Topics include data processing, design and implementation of data warehouse and OLAP systems, data mining algorithms and methods including association analysis, classification, cluster analysis, as well as emerging applications and trends in data mining.
Texts: TBA
Assessments: Some familiarity with a programming language, such as Java or C++, is required for programming assignments and/or final project. Some knowledge about database systems and statistics will be helpful.
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W301 MW      10:00AM - 11:15AM Li Xiong
CS584 Topics in Computer Science: Computer Security Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W301 MW      2:30PM - 3:45PM Ymir Vigfusson
CS584 Topics in Computer Science: Advanced Systems Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
2 MSC W304 TuTh      10:00AM - 11:15AM Avani Wildani
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 W303 F      2:00PM - 2:50PM James Lu
CS597R Directed Study: Professional Development Credits: 1
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
4 MSC W306 F      2:00PM - 2:50PM Shun Yan Cheung
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: This course is a one-credit course; the grading basis is S/U only.
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W201 F      3:00PM - 3:50PM Eugene Agichtein