Course Schedule

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Number

Name

Professor(s)

Meet Time

Room

CSCI-GA.1144-001
(2405) PAC II* Mohamed Zahran
Office Hours T 6:00-8:30PM CIWW 312

This course builds directly on the foundation developed in PAC I, covering the essentials of computer organization through the study of assembly language programming and C, as well as introducing the students to the analysis of algorithms. Topics include: (1) Assembly language programming for the Intel chip family, emphasizing computer organization, the Intel x86 instruction set, the logic of machine addressing, registers and the system stack. (2) Programming in the C language, a general-purpose programming language which also has low-level features for systems programming. (3) An introduction to algorithms, including searching, sorting, graph algorithms and asymptotic complexity. Examples and assignments reinforce and refine those first seen in PAC I and often connect directly to topics in the core computer science graduate courses, such as Programming Languages, Fundamental Algorithms, and Operating Systems

Prerequisites: CSCI-GA 1133 or departmental permission.
CSCI-GA.1170-003
DS-GA.1170
(3092) Fundamental Algorithms Yevgeniy Dodis
Office Hours T 7:10-9:00PM CIWW 109

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
(3351) Mathematical Techniques For CS Applications Remi Imbach
Office Hours T 5:10-7:00PM CIWW 317
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.2421-001
MATH-GA 2020-001
(2413) Numerical Methods II Jonathan Goodman T 5:10-7:00PM CIWW 202
Numerical linear algebra. Approximation theory. Quadrature rules and numerical integration. Nonlinear equations and optimization. Ordinary differential equations. Elliptic equations. Iterative methods for large, sparse systems. Parabolic and hyperbolic equations.

Prerequisites: Corequisite: linear algebra.
CSCI-GA.2572-002
DS-GA.1008-002
(3448) Deep Learning Lab Alfredo Canziani T 7:10-8:00PM GCASL C95

This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional net and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition.

Prerequisites: DS-GA 1001 Intro to Data Science or a graduate-level machine learning course.
CSCI-GA.2590-001
(2793) Natural Language Processing Ralph Grishman
Office Hours T 5:10-7:00PM 60 Fifth Ave 150

An introduction to natural language processing, with an emphasis on methods for creating structured knowledge from text. Basic syntactic structures of English; constituent and dependency representations and parsers. Hidden Markov Models and maximum entropy models for part-of-speech and name tagging. Finite-state grammars and partial parsing. Probabilistic parsing. Lexical semantics. Relation and event extraction. Reference resolution. Machine translation. Supervised, semi-supervised, and active learning of linguistic models. Neural network models. There will be several pencil-and-paper exercises, several computer exercises, a final project, and a final exam.

Prerequisites: Some facility with Java and Python and a knowledge of the elements of probability and statistics is expected.
CSCI-GA.2820-001
(3354) DevOps and Agile Methodologies John Rofrano
Office Hours T 5:10-7:00PM CIWW 101 Additional information: Not open to graduate Computer Science, Information Systems, CEI (Computing, Entrepreneurship, and Innovation), or Non-Degree students.

This course uses a project based learning approach towards the study of DevOps as a cultural change in Information Technology organizations, and the supporting development tools and automation technologies required to implement it successfully. Students study the principles of DevOps, and as part of an agile development team, each student is involved in planning, designing, building, testing, and deploying one or more cloud native microservices into a Platform as a Service cloud by utilizing a DevOps Pipeline that they will create.
CSCI-GA.2820-002
(3355) DevOps and Agile Methodologies Lab John Rofrano
Office Hours T 7:10-8:00PM CIWW 101 Additional information: Not open to graduate Computer Science, Information Systems, CEI (Computing, Entrepreneurship, and Innovation), or Non-Degree students.

This course uses a project based learning approach towards the study of DevOps as a cultural change in Information Technology organizations, and the supporting development tools and automation technologies required to implement it successfully. Students study the principles of DevOps, and as part of an agile development team, each student is involved in planning, designing, building, testing, and deploying one or more cloud native microservices into a Platform as a Service cloud by utilizing a DevOps Pipeline that they will create.
CSCI-GA.2840-001
(3356) Entrepreneurship Capstone Evan Korth
Office Hours T 10:15-12:15PM 16WP 106 Additional information: Open only to students in the MS-CEI program.

The Entrepreneurship Capstone class is a 15week bootcamp class on entrepreneurship. This class aims to translate experiences of students on idea incubation, prototype development and Lean Launchpad towards entrepreneurship. Students will learn how to pitch their ideas to VCs, focus on business development and translate their prototypes to an evolving MVP.
CSCI-GA.2840-002
(3361) Entrepreneurship Capstone Lab Pedro Torres-Mackie T 12:25-1:15PM 16WP 106 Additional information: Open only to students in the MS-CEI program.

The Entrepreneurship Capstone class is a 15week bootcamp class on entrepreneurship. This class aims to translate experiences of students on idea incubation, prototype development and Lean Launchpad towards entrepreneurship. Students will learn how to pitch their ideas to VCs, focus on business development and translate their prototypes to an evolving MVP.
CSCI-GA.3033-027
(23369) Special Topics: Blockchain and Its Applications Richard Hull
Office Hours T 5:10-7:00PM CIWW 201

Blockchain has the potential to fundamentally shift how businesses and other organizations collaborate, enabling increased trust between participants and substantial efficiency gains in terms of time and labor. This course provides a hands-on introduction to the rapidly evolving field of Blockchain for applications centered around inter-organization collaboration. The emphasis is on creating and programming Blockchain applications and off-chain interactions with them, The course will also cover setting up Blockchain networks, the underlying distributed systems architecture, the role of encryption and consensus algorithms, model-driven application development, governance and security. The course will cover several existing blockchain platforms, although the programming assignments and case studies will be based on the open-source Hyperledger Fabric, one of the leading platforms for inter-organization collaboration applications.

Prerequisites: An undergraduate algorithms course.
CSCI-GA.3850-001
(24883) PhD Seminar: Cryptography ** Yevgeniy Dodis
Office Hours T 12:30-3:15PM CIWW 412
Graduate seminars serve as loosely structured forums for exploring research topics from broad areas of computer science. They are designed to foster dialogue by bringing together faculty and students from a given area and to encourage the exchange of ideas. As such, they bridge the gap between more structured course offerings and informal research meetings. Subject matter varies by section.

Prerequisites: Permission of the instructor.
CSCI-UA.0002-003
(7668) Intro To Computer Programming (No Prior Experience) Adam Meyers
Office Hours TR 8:00-9:15AM 60 Fifth Ave C10

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.0002-004
(7669) Intro To Computer Programming (No Prior Experience) Craig Kapp
Office Hours T 5:00-7:30PM 60 Fifth Ave C10

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.0002-005
(7670) Intro To Computer Programming (No Prior Experience) Shaheer Mohammed Haroon
Office Hours TR 9:30-10:45AM CIWW 317

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.0002-009
(9100) Intro To Computer Programming (No Prior Experience) Michell Cardona
Office Hours TR 8:00-9:15AM CIWW 101

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.0002-010
(10063) Intro To Computer Programming (No Prior Experience) Saadia Lgarch
Office Hours TR 3:30-4:45PM CIWW 512

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.0002-013
(24580) Intro To Computer Programming (No Prior Experience) Deena Engel
Office Hours TR 9:30-10:45AM 60 Fifth Ave C10

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.0003-002
(19674) Intro to Computer Programming (Limited Prior Experience) Joseph Versoza
Office Hours TR 11:00-12:15PM CIWW 312

This course introduces object-oriented programming, recursion, and other important programming concepts to students who already have had some exposure to programming in the context of building applications using Python. Students will design and implement Python programs in a variety of applied areas.

Prerequisites: This course is intended for students with limited programming experience who have not placed into CSCI-UA.0101. Students may not receive credit for both CSCI-UA.0002 and CSCI-UA.0003.
CSCI-UA.0004-002
(7672) Intro to Web Design & Computer Principles Amos Bloomberg
Office Hours TR 11:00-12:15PM CIWW 102
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.0004-007
(19669) Intro to Web Design & Computer Principles Adam Scher
Office Hours TR 8:00-9:15AM CIWW 102
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.0060-001
(7674) Database Design And Implementation Deena Engel
Office Hours TR 2:00-3:15PM CIWW 102

Introduces principles and applications of database design. Students learn to use a relational database system, learn implementations of database designs, and write programs in SQL. Students explore principles of database design and apply those principles to computer systems in general and in their respective fields of interest.

Prerequisites: Introduction to Computer Programming (CSCI-UA.0002).
CSCI-UA.0061-002
(9101) Web Development And Programming Nathan Hull
Office Hours TR 2:00-3:15PM CIWW 202

Provides a practical approach to web technologies and programming. Students build interactive, secure, and powerful web programs. Covers client and server side technologies for the web.

Prerequisites: Introduction to Computer Programming (CSCI-UA.0002) and Introduction to Web Design & Computer Principles (CSCI-UA.0004).
CSCI-UA.0101-001
(7675) Intro To Computer Science Suzanne McIntosh
Office Hours TR 11:00-12:15PM 60 Fifth Ave 150
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.0101-002
(7676) Intro To Computer Science Teseo Schneider
Office Hours TR 2:00-3:15PM CIWW 317
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.0101-003
(9503) Intro To Computer Science Badreddine Oudjehane
Office Hours TR 9:30-10:45AM CIWW 102
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.0102-002
(7679) Data Structures - Recitation Katherine Pully T 12:30-1:45PM 60 Fifth Ave 150
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.0102-005
(7682) Data Structures Anasse Bari
Office Hours TR 9:30-10:45AM 60 Fifth Ave 150
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.0102-007
(9103) Data Structures Anasse Bari
Office Hours TR 2:00-3:15PM Silv 207
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.0201-002
(7684) Computer Systems Organization - Recitation Goktug Saatcioglu T 9:30-10:45AM 60 Fifth Ave C12
Covers the internal structure of computers, machine (assembly) language programming, and the use of pointers in high-level languages. Topics include the logical design of computers, computer architecture, the internal representation of data, instruction sets, and addressing logic, as well as pointers, structures, and other features of high-level languages that relate to assembly language. Programming assignments are in both assembly language and other languages.

Prerequisites: Data Structures (CSCI-UA 102).
CSCI-UA.0201-003
(9352) Computer Systems Organization Joanna Klukowska
Office Hours TR 9:30-10:45AM CIWW 109
Covers the internal structure of computers, machine (assembly) language programming, and the use of pointers in high-level languages. Topics include the logical design of computers, computer architecture, the internal representation of data, instruction sets, and addressing logic, as well as pointers, structures, and other features of high-level languages that relate to assembly language. Programming assignments are in both assembly language and other languages.

Prerequisites: Data Structures (CSCI-UA 102).
CSCI-UA.0201-006
(9680) Computer Systems Organization - Recitation Gurkirat Singh Bajwa T 11:00-12:15PM CIWW 109
Covers the internal structure of computers, machine (assembly) language programming, and the use of pointers in high-level languages. Topics include the logical design of computers, computer architecture, the internal representation of data, instruction sets, and addressing logic, as well as pointers, structures, and other features of high-level languages that relate to assembly language. Programming assignments are in both assembly language and other languages.

Prerequisites: Data Structures (CSCI-UA 102).
CSCI-UA.0202-001
(7685) Operating Systems Aurojit Panda
Office Hours TR 3:30-4:45PM CIWW 109
Covers the principles and design of operating systems. Topics include process scheduling and synchronization, deadlocks, memory management (including virtual memory), input/output, and file systems. Programming assignments.

Prerequisites: Computer Systems Organization (CSCI-UA 201).
CSCI-UA.0202-003
(24960) Operating Systems Michael Walfish
Office Hours TR 3:30-4:45PM CIWW 201
Covers the principles and design of operating systems. Topics include process scheduling and synchronization, deadlocks, memory management (including virtual memory), input/output, and file systems. Programming assignments.

Prerequisites: Computer Systems Organization (CSCI-UA 201).
CSCI-UA.0310-001
(7686) Basic Algorithms Joel Spencer
Office Hours TR 2:00-3:15PM CIWW 109
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).
CSCI-UA.0310-005
(9625) Basic Algorithms Victor Shoup
Office Hours TR 12:30-1:45PM CIWW 109
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).
CSCI-UA.0330-001
MATH-UA.0144
(9168) Introduction to Computer Simulation Charles Peskin
Office Hours TR 11:00-12:15PM CIWW 317
In this course, students will learn how to do computer simulations of such phenomena as orbits (Kepler problem and N-body problem), epidemic and endemic disease (including evolution in response to the selective pressure of a malaria), musical stringed instruments (piano, guitar, and violin), and traffic flow in a city (with lights, breakdowns, and gridlock at corners). The simulations are based on mathematical models, numerical methods, and Matlab programming techniques that will be taught in class. The use of animations (and sound where appropriate) to present the results of simulations will be emphasized.

Prerequisites: A grade of C or higher in MATH-UA 121 Calculus I or MATH-UA 212 Math for Economics II (for Economics majors) and PHYS-UA 11 General Physics.
CSCI-UA.0380-001
(8813) Topics of General Interest: Drawing on the Web Joshua Clayton
Office Hours TR 2:00-3:15PM CIWW 312

PREREQUISITES: CSCI-UA 2 and CSCI-UA 4, or permission of Instructor.

The Web is an intrinsically visual medium whose graphical capabilities are diverse and evolving. With the development of HTML5 and CSS3, there are now multiple ways to code images and animation natively in the browser. This course will provide a survey of current drawing techniques. We will create a series of Web-based projects that involve raster graphics, vector graphics, and interactivity using HTML, CSS, SVG, and JavaScript. Drawing on the Web builds upon foundations in Web design and computer programming with a focus on the range of graphics that can be coded into Web pages.
CSCI-UA.0421-001
(7689) Numerical Computing Margaret Wright
Office Hours TR 9:30-10:45AM CIWW 312

The need for floating-point arithmetic, the IEEE floating-point standard, and the importance of numerical computing in a wide variety of scientific applications. Fundamental types of numerical algorithms: direct methods (e.g., for systems of linear equations), iterative methods (e.g., for a nonlinear equation), and discretization methods (e.g., for a differential equation). Numerical errors: can you trust your answers? Uses graphics and software packages such as Matlab. Programming assignments.

Prerequisites: Computer Systems Organization (CSCI-UA 201), either Calculus I (MATH-UA 121) or both of Mathematics for Economics I and II (MATH-UA 211 and 212), and Linear Algebra (MATH-UA 140), or permission of instructor.
CSCI-UA.0453-001
(9287) Theory Of Computation Richard Cole
Office Hours TR 11:00-12:15PM 194M 306A

A mathematical approach to studying topics in computer science, such as regular languages and some of their representations (deterministic finite automata, nondeterministic finite automata, regular expressions) and proof of nonregularity. Context-free languages and pushdown automata; proofs that languages are not context-free. Elements of computability theory. Brief introduction to NP-completeness.

Prerequisites: Basic Algorithms (CSCI-UA 310) and Computer Systems Organization (CSCI-UA.201)
CSCI-UA.0479-001
(23650) Data Management and Analysis Joseph Versoza
Office Hours TR 9:30-10:45AM CIWW 202

Extracting, transforming and analyzing data in myriad formats. Using traditional relational
databases as well as non-relational databases as well as non-relational databases to store, manipulate, and query data. Students write custom programs, create queries, and use data analysis tools and libraries on a wide array of data sets. Additional topics: data modeling, cloud databases and AP programming.

Prerequisites: Data Structures (CSCI-UA 102)
CSCI-UA.0480-001
(7690) Special Topics: Computer Vision Davi Geiger
Office Hours TR 3:30-4:45PM CIWW 101

Prerequisites: CSCI-UA.0201 with a grade of C or better.

An introduction to the field of computer vision. Basic concepts will be covered such as edge detection, stereo vision, motion, color, texture and recognition.
CSCI-UA.0480-004
(9105) Special Topics: Algorithmic Problem Solving Joanna Klukowska
Office Hours TR 12:30-1:45PM CIWW 101

Prerequisites: CSCI-UA.0201 and CSCI-UA.310 with a grade of C or better

Many of the top firms in the technological and financial sectors are using algorithmic problems as interview questions for assessing candidate skill. In this course we take this idea one step further and use algorithmic problem solving as way to hone programming skills. Students will use the material covered in the data structures and algorithms courses and learn new algorithmic techniques to solve challenging problems quickly. Each week will be devoted to a particular type of algorithm. Weekly problem sets will reinforce the lecture, and require students to implement their solutions in Java or C++. Students completing this course will be well prepared to participate in programming competitions such as the ACM Inter-Collegiate Programming Contest, TopCoder, and Google's Code Jam.
CSCI-UA.0480-006
(9286) Special Topics: Computer Graphics Kenneth Perlin
Office Hours TR 11:00-12:15PM 60 Fifth Ave C12

Prerequisites: CSCI-UA.0201 and MATH-UA.140 with a grade of C or better.

There are many courses that can teach you how to use commercial computer graphics packages and APIs. This course, in contrast, will teach you how to build 3D computer graphics from the ground up. This will include 3D modeling, animation, and rendering. At the end of the semester you will have built your own complete working real-time 3D computer graphics systems that run in web browsers.
CSCI-UA.0480-007
(9619) Special Topics: Agile Software Development and DevOps Amos Bloomberg
Office Hours TR 12:30-1:45PM CIWW 317

Prerequisites: CSCI-UA.0201 with a grade of C or better.

Agile software development has come to describe a specific approach and toolset that allow for the requirements of a software project to change as a project progresses without disrupting schedules, budgets, and responsibilities. The field of DevOps, a portmanteau of development and operations has introduced further processes and infrastructure to automate many of the tasks required in such development. Together, Agile's methodology and DevOps' automation have increased the speed, robustness, and scalability with which software is developed today. Upon completion of this course, students will understand the core methodologies, technologies, and tools used for software engineering.
CSCI-UA.0490-001
(19672) Special Topics: Programming Languages Edward Yang
Office Hours TR 11:00-12:15PM Silv 414

Covers topics in programming languages at an advanced level. Detailed course descriptions are available when topics are announced.

Prerequisites: Topics determine prerequisites.

*

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