Course Schedule

Current semester Summer 2017, and future semesters are now available to view.

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Number

Name

Professor(s)

Meet Time

Room

CSCI-GA.1170-001
(1233) Fundamental Algorithms Alexander Alekseyev
Office Hours W 6:00-8:20PM CIWW 312 Additional information: 05/22/2017 - 08/13/2017 (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
(1235) Fundamental Algorithms Recitation Parth Rao
Office Hours R 6:00-7:00PM CIWW 312 Additional information: 05/22/2017 - 08/13/2017 (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
(4811) Mathematical Techniques For CS Applications Ernest Davis
Office Hours T 6:00-8:20PM CIWW 101 Additional information: 05/22/2017 - 08/13/2017 (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
(1065) Programming Languages Cory Plock
Office Hours T 5:10-7:30PM CIWW 312 Additional information: 05/22/2017 - 08/13/2017 (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
(1066) Programming Languages Recitation Simranjyot Singh Gill R 7:10-8:10PM CIWW 312 Additional information: 05/22/2017 - 08/13/2017 (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
(1234) Operating Systems Hubertus Franke
Office Hours M 6:00-8:20PM CIWW 101 Additional information: 05/22/2017 - 08/13/2017 (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
(1067) Elements Of Discrete Mathematics * Matthew Harper Langston
Office Hours T 6:00-8:20PM CIWW 317 Additional information: 05/22/2017 - 08/13/2017 (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.3033-001
(1271) Special Topics: Big Data Application Development Suzanne McIntosh
Office Hours R 6:00-8:20PM CIWW 517 Additional information: 05/22/2017 - 08/13/2017 (Session One through Two)

This course covers Scala, Spark programming, Spark architecture, Spark Streaming, and integration of Spark with the Hadoop ecosystem for developing Big Data applications. In addition, it covers the 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 Scala, Spark, and complementary Hadoop tools.

Prerequisites: Successful completion of the Realtime and Big Data Analytics course is a prerequisite for registering for this course. In addition, students should have: strong programming skills in Java, Python, or C++; experience using Hadoop; coursework in operating systems, networking, and algorithms; familiarity with Linux commands.
CSCI-GA.3033-002
(1068) Special Topics: Production Quality Software CANCELLED -

Topics vary each semester.

Prerequisites: Prerequisites vary according to topic.
CSCI-GA.3033-003
(5493) Special Topics: Realtime & Big Data Analytics Suzanne McIntosh
Office Hours W 6:00-8:20PM CIWW 317 Additional information: 05/22/2017 - 08/13/2017 (Session One through Two)

This course will introduce technologies and architectures at the foundation of the Big Data movement. These technologies facilitate the scalable storage, management, and processing of vast quantities of data. We will explore the tools enabling the acquisition of near realtime data in the social domain and the fusion of those data when in flight and at rest. Students are required to complete weekly reading and/or programming assignments and demonstrate mastery of course topics by developing and demonstrating a software project of their choosing. Class time will be set aside for project proposal and final demo.

Prerequisites: CSCI-GA 2250 or equivalent Operating Systems course; programming experience in C/C++ or Java for assignments and final project; CSCI-GA 2262, CSCI-GA 2620, or undergraduate course in networks. A familiarity with databases and Linux will be useful.
CSCI-GA.3033-004
(7525) Special Topics: Technology Design and Entrepreneurship Lakshminarayanan Subramanian MW 6:00-8:20PM CIWW 201 Additional information: 05/22/2017 - 07/02/2017 (Session One)

This is an idea-incubation design class where students will be exposed to a spectrum of tech challenges, latest and future technology trends (using case studies) and will need to iteratively propose and refine bold computing centric ideas for real problems. Students will also initiate the process of translating their ideas to initial prototypes. Right from the beginning, students in the class will form small teams where each team will work on a single project idea that solves an important real world problem. Students will be provided exposure to basic tools and platforms that can be leveraged by individual teams in their project design and implementation. In addition to idea incubation, the class will provide a beginner's background of tech startups including: product development cycle, how to pitch your idea, product market fit, fundraising and venture capital, talking and pitching ideas to customers. Teams are expected to constantly interact with other teams to discuss and exchange ideas.

Each class will have two parts:

In the first part, we will be primarily focused on refining the tech ideas of individual groups and discussing their experiences discussing pitching across groups and learning potential customer needs. Students are expected to build a technology prototype.

The second part of each class will focus on problem areas and case studies. We will discuss specific areas and within each area, we will provide an introduction to real problems in need of innovative tech solutions. We will discuss case studies of successful startups in this area.

In addition, we will have a regular individual short sync up session with each project group twice a week basis to track progress and provide individual feedback.

Prerequisites: None.
CSCI-GA.3812-001
(1270) Information Technology Projects * Jean-Claude Franchitti
Office Hours M 5:30-9:00PM CIWW 317 Additional information: 05/22/2017 - 08/13/2017 (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
(1069) Adv Lab MS * STAFF - Additional information: 05/22/2017 - 08/13/2017 (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
(1070) Adv Lab MS * STAFF - Additional information: 05/22/2017 - 08/13/2017 (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
(1071) Adv Lab MS * STAFF - Additional information: 05/22/2017 - 08/13/2017 (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
(1072) Adv Lab MS * STAFF - Additional information: 05/22/2017 - 08/13/2017 (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
(1073) Adv Lab PhD ** STAFF - Additional information: 05/22/2017 - 08/13/2017 (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
(1074) Adv Lab PhD ** STAFF - Additional information: 05/22/2017 - 08/13/2017 (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
(1075) Adv Lab PhD ** STAFF - Additional information: 05/22/2017 - 08/13/2017 (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
(1076) Adv Lab PhD ** STAFF - Additional information: 05/22/2017 - 08/13/2017 (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
(1077) Master's Thesis Research * STAFF - Additional information: 05/22/2017 - 08/13/2017 (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
(1078) PhD Thesis Research ** STAFF - Additional information: 05/22/2017 - 08/13/2017 (Session One through Two)

Prerequisites: Permission of the thesis adviser or director of graduate studies for the Ph.D. program.
CSCI-GA.3870-001
(4855) Internship In Computer Science MS* STAFF - Additional information: 05/22/2017 - 08/13/2017 (Session One through Two)

Participation in a programming project or research project conducted outside of the classroom 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 take 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
(4856) Internship in Computer Science PhD* STAFF - Additional information: 05/22/2017 - 08/13/2017 (Session One through Two)

Participation in a programming project or research project conducted outside of the classroom 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 take 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-UA.0002-001
(2483) Intro To Computer Programming Joseph Versoza
Office Hours MTWR 9:00-11:05AM CIWW 101 Additional information: 05/22/2017 - 07/02/2017 (Session One)

An introduction to the fundamentals of computer programming, which is the foundation of computer science. Students design, write, and debug computer programs. No knowledge of programming is assumed.

Prerequisites: Three years of high school mathematics or equivalent. No prior computing experience is assumed. Students with any programming experience should consult with the department before registering. Students with any reported score on the Computer Science AP examination cannot enroll in this course; Albert will block them from registering for it. Students who have taken or are taking Introduction to Computer Science (CSCI-UA 101) will not receive credit for this course. Does not count toward the computer science major; serves as the prerequisite for students with no previous programming experience who want to continue into CSCI-UA 101 and pursue the major. Students may not receive credit for both CSCI-UA 2 and CSCI-UA 3.
CSCI-UA.0002-002
(4812) Intro To Computer Programming Amos Bloomberg
Office Hours MTWR 1:30-3:35PM CIWW 101 Additional information: 05/22/2017 - 07/02/2017 (Session One)

An introduction to the fundamentals of computer programming, which is the foundation of computer science. Students design, write, and debug computer programs. No knowledge of programming is assumed.

Prerequisites: Three years of high school mathematics or equivalent. No prior computing experience is assumed. Students with any programming experience should consult with the department before registering. Students with any reported score on the Computer Science AP examination cannot enroll in this course; Albert will block them from registering for it. Students who have taken or are taking Introduction to Computer Science (CSCI-UA 101) will not receive credit for this course. Does not count toward the computer science major; serves as the prerequisite for students with no previous programming experience who want to continue into CSCI-UA 101 and pursue the major. Students may not receive credit for both CSCI-UA 2 and CSCI-UA 3.
CSCI-UA.0002-003
(2484) Intro To Computer Programming Nathan Hull
Office Hours MTWR 9:00-11:05AM CIWW 102 Additional information: 07/03/2017 - 08/13/2017 (Session Two)

An introduction to the fundamentals of computer programming, which is the foundation of computer science. Students design, write, and debug computer programs. No knowledge of programming is assumed.

Prerequisites: Three years of high school mathematics or equivalent. No prior computing experience is assumed. Students with any programming experience should consult with the department before registering. Students with any reported score on the Computer Science AP examination cannot enroll in this course; Albert will block them from registering for it. Students who have taken or are taking Introduction to Computer Science (CSCI-UA 101) will not receive credit for this course. Does not count toward the computer science major; serves as the prerequisite for students with no previous programming experience who want to continue into CSCI-UA 101 and pursue the major. Students may not receive credit for both CSCI-UA 2 and CSCI-UA 3.
CSCI-UA.0004-001
(2771) Intro to Web Design & Computer Principles Amos Bloomberg
Office Hours MTWR 9:00-11:05AM CIWW 102 Additional information: 05/22/2017 - 07/02/2017 (Session One)
Introduces students to both the practice of web design and the basic principles of computer science. The practice component covers not only web design but also current graphics and software tools. The principles section includes an overview of hardware and software, the history of computers, and a discussion of the impact of computers and the Internet.

Prerequisites: Three years of high school mathematics or equivalent. No prior computing experience is assumed. Students with computing experience should consult with the department before registering.
CSCI-UA.0004-002
(2485) Intro to Web Design & Computer Principles Nathan Hull
Office Hours MTWR 1:30-3:35PM CIWW 102 Additional information: 07/03/2017 - 08/13/2017 (Session Two)
Introduces students to both the practice of web design and the basic principles of computer science. The practice component covers not only web design but also current graphics and software tools. The principles section includes an overview of hardware and software, the history of computers, and a discussion of the impact of computers and the Internet.

Prerequisites: Three years of high school mathematics or equivalent. No prior computing experience is assumed. Students with computing experience should consult with the department before registering.
CSCI-UA.0101-001
(2874) Intro To Computer Science Douglas Moody
Office Hours TR 2:10-4:15PM CIWW 517 Additional information: 05/22/2017 - 08/13/2017 (Session One through Two)

How to design algorithms to solve problems and how to translate these algorithms into working computer programs. Experience is acquired through projects in a high-level programming language. Intended primarily for computer science majors but also suitable for students of other scientific disciplines. Programming assignments.

Prerequisites: Introduction to Computer Programming (No Prior Experience) (CSCI-UA 2) or Introduction to Computer Programming (Limited Prior Experience) (CSCI-UA 3), or a score of 3 on the AP Computer Science exam (scores of 4 and 5 are acceptable prerequisites for students who wish to take CSCI-UA 101 before entering CSCI-UA 102; they will forfeit the AP credit), or departmental permission assessed by placement exam.
CSCI-UA.0102-001
(2931) Data Structures Douglas Moody
Office Hours TR 5:45-7:50PM CIWW 102 Additional information: 05/22/2017 - 08/13/2017 (Session One through Two)

Use and design of data structures, which organize information in computer memory. Stacks, queues, linked lists, binary trees: how to implement them in a high-level language, how to analyze their effect on algorithm efficiency, and how to modify them. Programming assignments.

Prerequisites: Introduction to Computer Science (CSCI-UA 101), or a score of 4 or 5 on the AP Computer Science examination.
CSCI-UA.0480-001
(7074) Special Topics: Predictive Analytics Anasse Bari TR 5:45-7:50PM CIWW 201 Additional information: 05/22/2017 - 08/13/2017 (Session One through Two)

Predictive analytics is the art and science of extracting useful information from historical data and present data for the purpose of predicting future trends. In this introductory course, students will have an overview to the phases of the analytics life cycle and a basic understanding of a variety of tools and practical machine learning techniques to analyze data to discover forward insights.

Several techniques will be introduced; including data pre-processing techniques, data clustering algorithms, data classification algorithms, association rules, data mining algorithms, recommender systems, etc. Highlights from industrial use cases will be covered to demonstrate how Predictive Analytics relates to improving business performance and impacting better decisions. This is an introductory undergraduate course that will help students learn basic skills of the new generation of data scientists, skills that will allow them to structure, analyze, and derive useful insights from data that could help make better decisions.

Prerequisites: CSCI-UA.0201-001 Computer Systems Organization. Recommended prerequisite: MATH-UA.140 Linear Algebra
CSCI-UA.0897-001
(2925) Internship N/A -
An internship in computer science is an excellent complement to formal course work. We strongly recommend that students have some practical training along with their classroom experience, so they can explore different career options and gain hands-on experience. An internship is for majors only, and students must have maintained an overall GPA of 3.0 and a computer science GPA of 3.5. The internship will be graded.

Prerequisites: Restricted to declared computer science majors. Internship credit does not count toward major requirements, but does apply toward completion of the CAS degree.
CSCI-UA.0898-001
(2926) Internship N/A -
An internship in computer science is an excellent complement to formal course work. We strongly recommend that students have some practical training along with their classroom experience, so they can explore different career options and gain hands-on experience. An internship is for majors only, and students must have maintained an overall GPA of 3.0 and a computer science GPA of 3.5. The internship will be graded.

Prerequisites: Restricted to declared computer science majors. Internship credit does not count toward major requirements, but does apply toward completion of the CAS degree.
CSCI-UA.0997-001
(2486) Independent Study N/A -

Students majoring in the department are permitted to work on an individual basis under the supervision of a full-time faculty member in the department if they have maintained an overall GPA of 3.0 and a GPA of 3.5 in computer science and have a study proposal that is approved by the director of undergraduate studies. Students are expected to spend about three to six hours a week on their project.

Prerequisites: Permission of the department. Does not satisfy the major elective requirement.
CSCI-UA.0998-001
(2487) Independent Study N/A -

Students majoring in the department are permitted to work on an individual basis under the supervision of a full-time faculty member in the department if they have maintained an overall GPA of 3.0 and a GPA of 3.5 in computer science and have a study proposal that is approved by the director of undergraduate studies. Students are expected to spend about three to six hours a week on their project.

Prerequisites: Permission of the department. Does not satisfy the major elective requirement.

*

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.

Classroom Locations

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