Course Schedule

View undergraduate course grid View graduate course grid

Number

Name

Professor(s)

Meet Time

Room

CSCI-GA.1170-001
DS-GA.1170
(1050) Fundamental Algorithms Richard Hull W 6:00-8:20PM Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Reviews a number of important algorithms, with emphasis on correctness and efficiency. The topics covered include solution of recurrence equations, sorting algorithms, selection, binary search trees and balanced-tree strategies, tree traversal, partitioning, graphs, spanning trees, shortest paths, connectivity, depth-first and breadth-first search, dynamic programming, and divide-and-conquer techniques.

Prerequisites: At least one year of experience with a high-level language such as Pascal, C, C++, or Java; and familiarity with recursive programming methods and with data structures (arrays, pointers, stacks, queues, linked lists, binary trees).
CSCI-GA.1170-002
DS-GA.1170
(1052) Fundamental Algorithms Recitation Mohit Nihalani R 6:00-7:00PM Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Reviews a number of important algorithms, with emphasis on correctness and efficiency. The topics covered include solution of recurrence equations, sorting algorithms, selection, binary search trees and balanced-tree strategies, tree traversal, partitioning, graphs, spanning trees, shortest paths, connectivity, depth-first and breadth-first search, dynamic programming, and divide-and-conquer techniques.

Prerequisites: At least one year of experience with a high-level language such as Pascal, C, C++, or Java; and familiarity with recursive programming methods and with data structures (arrays, pointers, stacks, queues, linked lists, binary trees).
CSCI-GA.1180-001
(1096) Mathematical Techniques For CS Applications Alexander Alekseyev M 6:00-8:20PM Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)
An introduction to theory, computational techniques, and applications of linear algebra, probability and statistics. These three areas of continuous mathematics are critical in many parts of computer science, including machine learning, scientific computing, computer vision, computational biology, natural language processing, and computer graphics. The course teaches a specialized language for mathematical computation, such as Matlab, and discusses how the language can be used for computation and for graphical output. No prior knowledge of linear algebra, probability, or statistics is assumed.
CSCI-GA.2110-001
(1007) Programming Languages Cory Plock T 5:10-7:30PM Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Discusses the design, use, and implementation of imperative, object-oriented, and functional programming languages. The topics covered include scoping, type systems, control structures, functions, modules, object orientation, exception handling, and concurrency. A variety of languages are studied, including C++, Java, Ada, Lisp, and ML, and concepts are reinforced by programming exercises.

Prerequisites: Students taking this class should already have substantial programming experience.
CSCI-GA.2110-002
(1008) Programming Languages Recitation Richa Pandey R 7:10-8:10PM Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Discusses the design, use, and implementation of imperative, object-oriented, and functional programming languages. The topics covered include scoping, type systems, control structures, functions, modules, object orientation, exception handling, and concurrency. A variety of languages are studied, including C++, Java, Ada, Lisp, and ML, and concepts are reinforced by programming exercises.

Prerequisites: Students taking this class should already have substantial programming experience.
CSCI-GA.2250-001
(1051) Operating Systems Hubertus Franke M 6:00-8:20PM Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)
The topics covered include a review of linkers and loaders and the high-level design of key operating systems concepts such as process scheduling and synchronization; deadlocks and their prevention; memory management, including (demand) paging and segmentation; and I/O and file systems, with examples from Unix/Linux and Windows. Programming assignments may require C, C++, Java, or C#.
CSCI-GA.2340-001
MATH-GA 2050
(1009) Elements Of Discrete Mathematics * Matthew Harper Langston T 6:00-8:20PM Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)
Introduction to the central mathematical concepts that arise in computer science. Emphasis is on proof and abstraction. Topics include proof techniques; combinatorics; sets, functions, and relations; discrete structures; order of magnitude analysis; formal logic; formal languages and automata.

Prerequisites: May not be taken by students who have received a grade of B or better in CSCI-GA 1170.
CSCI-GA.2433-001
DS-GA.2433-001
(1109) Database Systems Jean-Claude Franchitti R 6:00-8:20PM Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)
Database system architecture. Modeling an application and logical database design. The relational model and relational data definition and data manipulation languages. Design of relational databases and normalization theory. Physical database design. Concurrency and recovery. Query processing and optimization.
CSCI-GA.3033-001
(1073) Special Topics: Big Data Application Development Suzanne McIntosh R 6:00-8:50PM Additional information: 05/26/2020 - 08/04/2020 (10-Week Course)

This course covers Apache Spark programming, Spark architecture, Spark SQL, Spark Streaming, and integration of Spark with other tools for developing Big Data applications. In addition, it covers technologies that integrate well with Spark in the creation of Big Data applications. Students are required to complete weekly reading and/or programming assignments and demonstrate mastery of course topics by developing a final project using Spark and complementary Big Data tools.

Prerequisites: Students should have hands-on experience using Hadoop (Apache HDFS and Apache Hadoop MapReduce). In addition, students should have: strong programming skills in Java, Python, or C/C++; coursework in operating systems, networking, and algorithms; familiarity with Linux commands.
CSCI-GA.3033-003
(1111) Special Topics: Realtime and Big Data Analytics Suzanne McIntosh W 6:00-8:50PM Additional information: 05/26/2020 - 08/04/2020 (10-Week Course)

This course introduces architectures and technologies at the foundation of the Big Data movement. These technologies facilitate scalable management and processing of vast quantities of data collected through realtime and near realtime sensing. We explore tools enabling the acquisition of data in the social domain and the fusion of those data when in flight and at rest using Hadoop and Hadoop-related tools.

The material covered in this course aligns with the prevailing state of the art in Big Data technologies, which continues to be a rapidly evolving landscape as new technologies emerge and existing ones evolve and mature.

Students are required to complete weekly reading and/or programming assignments and demonstrate mastery of course topics by designing, developing, and demonstrating an analytics project of their choosing. Class time will be set aside for project proposal and final demo.

This is an introductory Hadoop course intended for students who have no experience with the Apache Hadoop ecosystem of tools and frameworks.
CSCI-GA.3812-001
(1072) Information Technology Projects * Jean-Claude Franchitti M 5:30-9:00PM Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

This is a capstone course that connects students directly with real-world information technology problems. The goal of this course is to teach the skills needed for success in real-world information technology via a combination of classroom lectures and practical experience with large projects that have been specified by local “clients.” The typical clients are primarily companies, but can also be government agencies or nonprofit organizations. Each project lasts for the entire semester and is designed to involve the full software project life cycle. Examples of such projects are development of software to solve a business problem, including specifying requirements, writing and testing prototype code, and writing a final report; and evaluation of commercial software to be purchased to address a business problem, including gathering requirements, designing an architecture to connect the new software with existing systems, and assessing the suitability of available software products.

Prerequisites: For MS in IS students: Successful completion of CSCI-GA 1170 Fundamental Algorithms and two of the following three courses: CSCI-GA 2262 Data Communications & Networks; CSCI-GA 2250 Operating Systems; CSCI-GA 2433 Database Systems. For MS in CS students: Successful completion of CSCI-GA 1170 Fundamental Algorithms, CSCI-GA 2110 Programming Languages, and CSCI-GA 2250 Operating Systems. PERMISSION OF THE DEPARTMENT REQUIRED.
CSCI-GA.3813-001
(1133) Adv Lab MS * STAFF - Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Large-scale programming project or research in cooperation with a faculty member.

Prerequisites: Permission of the faculty project supervisor and the Director of Graduate Studies.
CSCI-GA.3813-002
(1134) Adv Lab MS * STAFF - Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Large-scale programming project or research in cooperation with a faculty member.

Prerequisites: Permission of the faculty project supervisor and the Director of Graduate Studies.
CSCI-GA.3813-003
(1010) Adv Lab MS * STAFF - Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Large-scale programming project or research in cooperation with a faculty member.

Prerequisites: Permission of the faculty project supervisor and the Director of Graduate Studies.
CSCI-GA.3813-004
(1011) Adv Lab MS * STAFF - Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Large-scale programming project or research in cooperation with a faculty member.

Prerequisites: Permission of the faculty project supervisor and the Director of Graduate Studies.
CSCI-GA.3813-005
(1012) Adv Lab PhD ** STAFF - Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Large-scale programming project or research in cooperation with a faculty member.

Prerequisites: Permission of the faculty project supervisor and the Director of Graduate Studies.
CSCI-GA.3813-006
(1135) Adv Lab PhD ** STAFF - Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Large-scale programming project or research in cooperation with a faculty member.

Prerequisites: Permission of the faculty project supervisor and the Director of Graduate Studies.
CSCI-GA.3813-007
(1136) Adv Lab PhD ** STAFF - Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Large-scale programming project or research in cooperation with a faculty member.

Prerequisites: Permission of the faculty project supervisor and the Director of Graduate Studies.
CSCI-GA.3813-008
(1137) Adv Lab PhD ** STAFF - Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Large-scale programming project or research in cooperation with a faculty member.

Prerequisites: Permission of the faculty project supervisor and the Director of Graduate Studies.
CSCI-GA.3840-001
(1013) Master's Thesis Research * STAFF - Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Prerequisites: Approval of a faculty adviser and the Director of Graduate Studies for the M.S. programs.
CSCI-GA.3860-001
(1138) PhD Thesis Research ** STAFF - Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Prerequisites: Permission of the thesis adviser or director of graduate studies for the Ph.D. program.
CSCI-GA.3870-001
(1097) Internship In Computer Science MS* STAFF - Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Participation in a programming project or research project conducted outside the university in a governmental, commercial, or academic setting. Open only to graduate students with permission of the Director of Graduate Studies (DGS). Students must submit a brief written description of their work to the DGS before starting the internship and submit a written summary of their work when it is completed. MS students may repeat this course a maximum of two times. PhD students who wish to take this course more than four times need to request a special permission and provide adequate academic justification.

Section 1 is for Master's students. Section 2 is for Ph.D. students.

Prerequisites: Permission of Director of Graduate Studies.
CSCI-GA.3870-002
(1098) Internship in Computer Science PhD* STAFF - Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)

Participation in a programming project or research project conducted outside the university in a governmental, commercial, or academic setting. Open only to graduate students with permission of the Director of Graduate Studies (DGS). Students must submit a brief written description of their work to the DGS before starting the internship and submit a written summary of their work when it is completed. MS students may repeat this course a maximum of two times. PhD students who wish to take this course more than four times need to request a special permission and provide adequate academic justification.

Section 1 is for Master's students. Section 2 is for Ph.D. students.

Prerequisites: Permission of Director of Graduate Studies.

*

Indicates controlled enrollment (permission number required for registration). Contact your program advisor.
**

Indicates controlled enrollment (permission number required for registration). Contact Santiago Pizzini (pizzini@cs.nyu.edu).
***

Indicates controlled enrollment (permission number required for registration). Contact the instructor.