Course Schedule

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• CSCI-GA.1170-​001
  DS-GA.1170
  (1225) Fundamental Algorithms  Alexander Alekseyev
  Office Hours W 6:00-8:20PM CIWW 312 Additional information: 05/21/2018 - 08/12/2018 (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
  DS-GA.1170
  (1227) Fundamental Algorithms Recitation  Sreyas Mohan
  Office Hours R 6:00-7:00PM CIWW 312 Additional information: 05/21/2018 - 08/12/2018 (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
  (1303) Mathematical Techniques For CS Applications  Remi Imbach
  Office Hours M 6:00-8:20PM CIWW 312 Additional information: 05/21/2018 - 08/12/2018 (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
  (1061) Programming Languages  Cory Plock
  Office Hours T 5:10-7:30PM CIWW 312 Additional information: 05/21/2018 - 08/12/2018 (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
  (1062) Programming Languages Recitation  Daniel Liang R 7:10-8:10PM CIWW 312 Additional information: 05/21/2018 - 08/12/2018 (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
  (1226) Operating Systems  Hubertus Franke
  Office Hours M 6:00-8:20PM CIWW 102 Additional information: 05/21/2018 - 08/12/2018 (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
  (1063) Elements Of Discrete Mathematics *  Matthew Harper Langston
  Office Hours T 6:00-8:20PM CIWW 101 Additional information: 05/21/2018 - 08/12/2018 (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.2433-​001
  DS-GA.2433-001
  (5535) Database Systems  Jean-Claude Franchitti
  Office Hours R 6:00-8:20PM CIWW 1302 Additional information: 05/21/2018 - 08/12/2018 (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.2810-​001
  (5536) Design and Innovation*  Lakshminarayanan Subramanian
  Office Hours MT 12:00-2:20PM CIWW 312 Additional information: 05/21/2018 - 07/01/2018 (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-GA.3033-​001
  (1261) Special Topics: Big Data Application Development  Suzanne McIntosh
  Office Hours R 6:00-8:20PM CIWW 101 Additional information: 05/21/2018 - 08/12/2018 (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 or experience using Hadoop (HDFS and MapReduce) is required. In addition, students should have: strong programming skills in Java, Python, or C++; coursework in operating systems, networking, and algorithms; familiarity with Linux commands.
• CSCI-GA.3033-​003
  (6020) Special Topics: Realtime and Big Data Analytics  Suzanne McIntosh
  Office Hours W 6:00-8:20PM CIWW 102 Additional information: 05/21/2018 - 08/12/2018 (Session One through Two)
  

  This course will introduce technologies at the foundation of the Big Data movement that have facilitated scalable management of vast quantities of data collected through realtime and near realtime sensing. We will also explore the tools enabling the acquisition of near realtime data in the social domain, the fusion of those data when in flight and at rest, and their meaningful representation in graphical visualizations. 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.3812-​001
  (1260) Information Technology Projects *  Jean-Claude Franchitti
  Office Hours M 5:30-9:00PM CIWW 317 Additional information: 05/21/2018 - 08/12/2018 (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
  (1064) Adv Lab MS *  STAFF - Additional information: 05/21/2018 - 08/12/2018 (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
  (1065) Adv Lab MS *  STAFF - Additional information: 05/21/2018 - 08/12/2018 (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
  (1066) Adv Lab MS *  STAFF - Additional information: 05/21/2018 - 08/12/2018 (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
  (1067) Adv Lab MS *  STAFF - Additional information: 05/21/2018 - 08/12/2018 (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
  (1068) Adv Lab PhD **  STAFF - Additional information: 05/21/2018 - 08/12/2018 (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
  (1069) Adv Lab PhD **  STAFF - Additional information: 05/21/2018 - 08/12/2018 (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
  (1070) Adv Lab PhD **  STAFF - Additional information: 05/21/2018 - 08/12/2018 (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
  (1071) Adv Lab PhD **  STAFF - Additional information: 05/21/2018 - 08/12/2018 (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
  (1072) Master's Thesis Research *  STAFF - Additional information: 05/21/2018 - 08/12/2018 (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
  (1073) PhD Thesis Research **  STAFF - Additional information: 05/21/2018 - 08/12/2018 (Session One through Two)
  
  
  Prerequisites: Permission of the thesis adviser or director of graduate studies for the Ph.D. program.
• CSCI-GA.3870-​001
  (1304) Internship In Computer Science MS*  Faculty - Additional information: 05/21/2018 - 08/12/2018 (Session One through Two)
  

  Participation in a programming project or research project conducted outside the university 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 repeat 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
  (1305) Internship in Computer Science PhD*  Faculty - Additional information: 05/21/2018 - 08/12/2018 (Session One through Two)
  

  Participation in a programming project or research project conducted outside the university 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 repeat 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.

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