Course Schedule

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• 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.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.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-UA.0002-​001
  (2539) Intro To Computer Programming (No Prior Experience)  Amos Bloomberg MTWR 11:10-1:15PM Additional information: 05/26/2020 - 07/5/2020 (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 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.
• CSCI-UA.0002-​002
  (2267) Intro To Computer Programming (No Prior Experience)  Nathan Hull MTWR 11:10-1:15PM Additional information: 07/6/2020 - 08/16/2020 (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 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.
• CSCI-UA.0004-​001
  (2451) Intro to Web Design & Computer Principles  Amos Bloomberg MTWR 2:10-4:15PM Additional information: 05/26/2020 - 07/5/2020 (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
  (2268) Intro to Web Design & Computer Principles  Nathan Hull MTWR 2:10-4:15PM Additional information: 07/6/2020 - 08/16/2020 (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.0310-​001
  (2576) Basic Algorithms  Abhinav Tamaskar MW 5:45-7:50PM Additional information: 05/26/2020 - 08/16/2020 (Session One through Two)
  Introduction to the study of algorithms. Presents two main themes: designing appropriate data structures and analyzing the efficiency of the algorithms that use them. Algorithms studied include sorting, searching, graph algorithms, and maintaining dynamic data structures. Homework assignments, not necessarily involving programming.
  
  Prerequisites: Data Structures (CSCI-UA 102) and Discrete Mathematics (MATH-UA 120).

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  Indicates controlled enrollment (permission number required for registration). Contact your program advisor.
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  Indicates controlled enrollment (permission number required for registration). Contact Santiago Pizzini (pizzini@cs.nyu.edu).
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  Indicates controlled enrollment (permission number required for registration). Contact the instructor.