Course Schedule

View undergraduate course grid View graduate course grid

• CSCI-GA.1170-​002
  DS-GA.1170
  (1054) Fundamental Algorithms Recitation  Azam Asl
  Office Hours R 6:00-7:00PM 60 Fifth Ave C10 Additional information: 05/28/2019 - 08/18/2019 (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.2110-​002
  (1008) Programming Languages Recitation  Yusen Su R 7:10-8:10PM 60 Fifth Ave C10 Additional information: 05/28/2019 - 08/18/2019 (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.2433-​001
  DS-GA.2433-001
  (1116) Database Systems  Jean-Claude Franchitti R 6:00-8:20PM 60 Fifth Ave 150 Additional information: 05/28/2019 - 08/18/2019 (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
  (1077) Special Topics: Big Data Application Development  Suzanne McIntosh
  Office Hours R 6:00-8:20PM 60 Fifth Ave C12 Additional information: 05/28/2019 - 08/18/2019 (Session One through Two)
  

  This is an introductory course on Spark programming, Spark architecture, Spark SQL, Spark Streaming, and integration of Spark with the Hadoop ecosystem for developing Big Data analytics applications. The course project can be completed with Scala or Python, and Spark. This course covers technologies that integrate well with Spark in the creation of Big Data analytics applications.

  Students are required to complete weekly reading and programming assignments and demonstrate mastery of course topics by developing a final project using Spark.

  There will be a review of Apache Hadoop, but students should have experience with Hadoop MapReduce and HDFS.

• CSCI-UA.0002-​001
  (2386) Intro To Computer Programming (No Prior Experience)  Amos Bloomberg
  Office Hours MTWR 11:10-1:15PM 60 Fifth Ave 110 Additional information: 05/28/2019 - 07/07/2019 (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
  (2058) Intro To Computer Programming (No Prior Experience)  Nathan Hull MTWR 11:10-1:15PM Tisch LC11 Additional information: 07/08/2019 - 08/18/2019 (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
  (2271) Intro to Web Design & Computer Principles  Amos Bloomberg
  Office Hours MTWR 2:10-4:15PM 60 Fifth Ave 110 Additional information: 05/28/2019 - 07/07/2019 (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
  (2059) Intro to Web Design & Computer Principles  Nathan Hull MTWR 2:10-4:15PM Silv 208 Additional information: 07/08/2019 - 08/18/2019 (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
  (2341) Intro To Computer Science  Douglas Moody
  Office Hours TR 2:10-4:15PM 60 Fifth Ave C10 Additional information: 05/28/2019 - 08/18/2019 (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 (CSCI-UA 2) or departmental permission assessed by placement exam.
• CSCI-UA.0102-​001
  (2370) Data Structures  Douglas Moody
  Office Hours TR 5:45-7:50PM 60 Fifth Ave 110 Additional information: 05/28/2019 - 08/18/2019 (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).
• CSCI-UA.0480-​001
  (2426) Special Topics: Multicore Programming  Christopher Mitchell
  Office Hours TR 5:45-7:50PM 60 Fifth Ave C14 Additional information: 05/28/2019 - 08/18/2019 (Session One through Two)
  

  Through the 1990s, processors got faster and faster, but around the turn of the millennium, CPUs started to reach physical limits. To drive innovation and produce more powerful computers, manufacturers began to pack multiple cores into each processor. However, most software is conceived by the programmer as a linear progression of instructions. Compilers can find some parallelization opportunities, but that’s not enough to take full advantage of multiple cores. Programmers must take much of the responsibility for making their programs exploit multiple cores, and this course discusses many modern techniques:

  • Systems aspects of the architecture of modern machines
  • Classic and modern algorithms for coordination and synchronization
  • Data structures that exploit and extract performance from multiple cores
  • Current and future programming techniques and best practices for multiple cores

  Students will be expected to have experience with a programming-intensive course, enjoy reading a reasonable number of academic papers, and have some experience with C/C++. The course will include lectures, homework, labs, a final project, and a final exam.

  
  
  Prerequisites: CSCI-UA.0201-001 Computer Systems Organization;

• *
  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.
• ****
  Indicates controlled enrollment (permission number required for registration). Contact dhss@nyu.edu for assistance.