Course Schedule

Current semester Summer 2016, and future semesters are now available to view.

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• CSCI-GA.1170-​001
  (1239) Fundamental Algorithms  Alexander Alekseyev
  Office Hours W 6:00-8:20PM CIWW 312
  

  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
  (1241) Fundamental Algorithms Recitation  Alexander Alekseyev
  Office Hours R 6:00-7:00PM CIWW 312
  

  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.2110-​001
  (1071) Programming Languages  Cory Plock
  Office Hours T 5:10-7:30PM CIWW 312
  

  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
  (1072) Programming Languages Recitation  Vignesh Birodkar R 7:10-8:10PM CIWW 312
  

  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
  (1240) Operating Systems  Hubertus Franke
  Office Hours M 6:00-8:20PM CIWW 1302
  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
  (1073) Elements Of Discrete Mathematics *  Matthew Harper Langston
  Office Hours T 6:00-8:20PM CIWW 317
  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
  (1281) Special Topics: Big Data Application Development  Suzanne McIntosh
  Office Hours R 6:00-8:20PM CIWW 1302
  

  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.

  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
  (1074) Special Topics: Production Quality Software  Michael Schidlowsky
  Office Hours W 5:30-7:50PM CIWW 317
  

  In this course we study the craft of software engineering. The semester begins with a thorough review of the Java Language and Virtual Machine, emphasizing library components and language features most relevant to most development projects. Later lectures cover more sophisticated features in the language like concurrency and thread-safety, writing tests, properly designing classes and Object-Oriented programs, and design patterns. Certain non-technical topics are critical to successful software development and are reinforced throughout the semester. These include writing readable code, the long-term consequences of bugs, the psychology of human motivation, successfully developing and reinforcing habits, what science knows about human productivity and drive, and how to motivate ourselves and our team. Lessons are reinforced with weekly assignments that are meticulously graded. Some submissions are critiqued, line-by-line, in classroom code reviews. The end of the semester includes a lecture on how to best prepare for interviews and write an effective resume, incorporating techniques from world-class athletes and performers on how to optimally perform under extreme stress.

• CSCI-GA.3033-​003
  (7887) Special Topics: Technology Design and Entrepreneurship  CANCELLED - Additional information: 07/05/2016 - 08/14/2016
  

  The Technology Design and Entrepreneurship class is a 6-week technology bootcamp class covering the basics of technology design, innovation and entrepreneurship. This class is open for students at all levels (MS and undergraduate). This is an intensive 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. The expected workload per student can be more than 20 hrs a week and teams are expected to constantly interact with other teams to discuss and exchange ideas.

  Every week, we will be primarily focused on refining the tech ideas of individual groups. In addition, the classes on a weekly basis will cover four different topics:

  a. Introduction to real problems in need of innovative tech solutions
  b. Case studies of successful startups
  c. Prototype design and development: Refining your ideas
  d. Introductory concepts to entrepreneurship

• CSCI-GA.3812-​001
  (1280) Information Technology Projects *  Jean-Claude Franchitti
  Office Hours M 5:30-9:00PM CIWW 317
  

  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
  (1075) Adv Lab MS *  Faculty -
  

  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
  (1076) Adv Lab MS *  Faculty -
  

  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
  (1077) Adv Lab MS *  Faculty -
  

  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
  (1078) Adv Lab MS *  Faculty -
  

  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
  (1079) Adv Lab PhD **  Faculty -
  

  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
  (1080) Adv Lab PhD **  Faculty -
  

  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
  (1081) Adv Lab PhD **  Faculty -
  

  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
  (1082) Adv Lab PhD **  Faculty -
  

  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
  (1083) Master's Thesis Research *  Faculty -
  
  
  Prerequisites: Approval of a faculty adviser and the Director of Graduate Studies for the M.S. programs.
• CSCI-GA.3860-​001
  (1084) PhD Thesis Research **  Faculty -
  
  
  Prerequisites: Permission of the thesis adviser or director of graduate studies for the Ph.D. program.
• CSCI-UA.0002-​001
  (2508) Intro To Computer Programming  Amos Bloomberg
  Office Hours MTWR 9:30-11:05AM CIWW 512 Additional information: 05/23/2016 - 07/03/2016
  

  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
  (2509) Intro To Computer Programming  Nathan Hull
  Office Hours MTWR 1:30-3:05PM CIWW 1302 Additional information: 07/05/2016 - 08/14/2016
  

  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
  (2815) Intro to Web Design & Computer Principles  Amos Bloomberg
  Office Hours MTWR 11:30-1:05PM CIWW 512 Additional information: 05/23/2016 - 07/03/2016
  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
  (2510) Intro to Web Design & Computer Principles  Nathan Hull
  Office Hours MTWR 11:30-1:05PM CIWW 1302 Additional information: 07/05/2016 - 08/14/2016
  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
  (2955) Intro To Computer Science  Douglas Moody
  Office Hours MTWR 9:00-10:35AM CIWW 1302 Additional information: 05/23/2016 - 07/03/2016
  

  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
  (5266) Data Structures  Brett Bernstein
  Office Hours TR 6:00-8:25PM CIWW 202 Additional information: 05/23/2016 - 08/14/2016
  

  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.

• *
  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.

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