Course Schedule

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• CSCI-GA.2110-​001
  (1007) Programming Languages  Cory Plock
  Office Hours T 5:10-7:30PM 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.2340-​001
  MATH-GA 2050
  (1009) Elements Of Discrete Mathematics *  Matthew Harper Langston T 6:00-8:20PM 60 Fifth Ave C03 Additional information: 05/28/2019 - 08/18/2019 (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.2810-​001
  (1117) Design and Innovation*  Lakshminarayanan Subramanian TW 12:00-2:20PM 60 Fifth Ave 165 Additional information: 05/28/2019 - 07/07/2019 (Session One)
  

  Only open to MS students in the Computing, Entrepreneurship, and Innovation program.

  This is an intensive idea-incubation, computing-centric 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 to tech startups including: product development cycle, how to pitch your idea, product market fit, fundraising and venture capital, customer discovery. Teams are expected to constantly interact with other teams to discuss and exchange ideas.

  
  
  Prerequisites: TBA
• 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;

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