Course Schedule

Current semester Fall 2017, and future semesters are now available to view.

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Number

Name

Professor(s)

Meet Time

Room

CSCI-GA.1133-002
(1612) PAC I Recitation Derek Obrien W 7:10-8:00PM CIWW 201

Course Description:

An accelerated introduction to the fundamental concepts of computer science for students who lack a formal background in the field. Topics include algorithm design and program development; data types; control structures; subprograms and parameter passing; recursion; data structures; searching and sorting; dynamic storage allocation and pointers; abstract data types, such as stacks, queues, lists, and tree structures; generic packages; and an introduction to the principles of object-oriented programming. The primary programming language used in the course will be Java. Students should expect an average of 12-16 hours of programming and related course work per week.
CSCI-GA.1170-003
DS-GA.1170
(2277) Fundamental Algorithms Amir Shpilka
Office Hours W 5:10-7:00PM CIWW 517

Course Description:

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.2110-001
(1130) Programming Languages Benjamin Goldberg
Office Hours W 5:10-7:00PM CIWW 109

Course Description:

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
(1632) Database Systems Zvi Kedem
Office Hours W 5:10-7:00PM CIWW 101

Course Description:
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
(1139) Special Topics: Production Quality Software Michael Schidlowsky
Office Hours W 5:10-7:00PM CIWW 317

Course Description:

In this course we study the craft of software engineering. The semester begins with a thorough review of the Java Language and Virtual Machine, emphasizing library components and language features most relevant to most development projects. Later lectures cover more sophisticated features in the language like concurrency and thread-safety, writing tests, properly designing classes and Object-Oriented programs, and design patterns. Certain non-technical topics are critical to successful software development and are reinforced throughout the semester. These include writing readable code, the long-term consequences of bugs, the psychology of human motivation, successfully developing and reinforcing habits, what science knows about human productivity and drive, and how to motivate ourselves and our team. Lessons are reinforced with weekly assignments that are meticulously graded. Some submissions are critiqued, line-by-line, in classroom code reviews. The end of the semester includes a lecture on how to best prepare for interviews and write an effective resume, incorporating techniques from world-class athletes and performers on how to optimally perform under extreme stress.
CSCI-GA.3033-002
(1140) Special Topics: Distributed Systems Jinyang Li
Office Hours W 7:10-9:00PM CIWW 101

Course Description:

Large-scale distributed systems are the core software infrastructure underlying cloud computing. These systems consist of tens of thousands of networked computers working together to provide unprecedented performance and fault-tolerance. Examples include distributed databases (e.g. Google's Spanner, Amazon's S3 and Dynamo), distributed computation frameworks (e.g. Hadoop/Spark and TensorFlow) or even decentralized currency system (e.g. BitCoin). This class teaches the abstractions, design and implementation techniques that allow you to understand and build such distributed systems.
Topics include multithreading, network programming, consistency, naming, fault tolerance, and security and several case studies of distributed systems.

This class is a graduate-level course, but undergraduate students are welcome! The course consists of lectures and a series of programming labs.

This class satisfies the Ph.D. breadth requirement in Systems and also serves as a M.S. capstone course.

Prerequisites: 1. Undergraduate Operating Systems or Computer Systems Organization; 2. Extensive programming experience
CSCI-GA.3033-003
(1141) Special Topics: Music Software Projects Scott Burton
Office Hours W 7:10-9:00PM CIWW 312

Course Description:

Did you ever wonder why there are 12 notes in the western music scale? Or how the intervals between notes came to be? When were the first musical scales developed or "discovered" and how (and why) have they been modified since? Who were the key innovators of western music theory over the last few centuries?

It is not uncommon for software developers to have an affinity for music. After all, the creation of both software and music is part art and part science. Further, music and computing are built upon fundamental mathematical principles. While it is not required to understand music theory to be a good player, understanding why we are constrained to a certain set of notes is an enlightening topic - for musicians and non-musicians alike.

This course is for students interested in both music and software construction!
CSCI-GA.3033-011
(2000) Special Topics: Predictive Analytics Anasse Bari
Office Hours W 7:10-9:00PM CIWW 102

Course Description:

Predictive analytics is the art and science of extracting useful information from historical data and present data for the purpose of predicting future trends. In this course, students will have an introduction to the phases of the analytics lifecycle and a basic understanding of a variety of tools and machine learning techniques to analyze data to discover forward insights. Several techniques will be introduced; including data pre-processing techniques, data clustering algorithms, data classification algorithms, association rules data mining algorithms, recommender systems, etc.

Applications from bio-informatics, social networks analytics, and text mining will be covered. Highlights from industrial use cases will be covered to demonstrate how Predictive Analytics relates to improving business performance and impacting better decisions. This is an introductory course that will provide students with basic skills of the new generation of data scientists that will allow them to structure, analyze and derive useful insights from data that could help make better decisions.
CSCI-GA.3033-014
(2107) Special Topics: DevOps John Rofrano
Office Hours
Nikolai Joukov
Harigovind Ramasamy W 5:10-7:00PM CIWW 102

Course Description:

DevOps is more than just a fusion of development and operations. It is the cultural change that embraces Agile methodology, Lean Manufacturing, Social Coding, Behavior Driven and Test Driven Development, with new tools to provide Continuous Integration, Testing, and Delivery, and a fundamental shift in what it means to "move into production". Developers are empowered to "fail fast" and deploy early and often. Cloud Computing is at the heart of this movement. Cloud Native applications built from loosely coupled microservices require DevOps automation to manage the often complex production pipelines. DevOps allows businesses to move with increased agility and stability so that they can innovate at scale.

Upon completing this course students will know from hands-on experience how to work as an Agile team, socially code, and setup a DevOps pipeline to continuously integrate and test their code changes and deploy the Cloud Native applications that they write. They will also gain an understanding of what it means for Enterprise IT to use DevOps to become Cloud Native and operate at scale. Topics covered will include: Social Coding, Creating RESTful Microservices, IBM Bluemix. Watson Services, Docker, Cloud Foundry, GitHub, ZenHub, Travis CI, Jenkins, Vagrant, Behavior Driven and Test Driven Development, Python Flask, Redis, Cloudant, Ansible, SaltStack, Chef, Puppet. Students will be given access to IBM Bluemix and Watson Services for the duration of the course and will be submitting their homework on GitHub and deploying their homework to Bluemix. This course is 50% lecture and 50% hand-on so come prepared to learn by doing.

Prerequisites: Programming in either Python, Ruby, Java, or other modern OO programming language. The course will be taught using Python.
CSCI-GA.3033-020
(17300) Special Topics: Practical Computer Security Thitima Srivatanakul
Office Hours W 7:10-9:00PM CIWW 317

Course Description:

This course teaches the security mindset and practical security concepts that are essential for software engineers, software developers, quality assurance testers and IT managers. The course discusses various attack techniques and defenses for real world applications and the security activities in the SDLC. Its main topics include: low-level exploits, web application security, malware, threat modeling, security requirements, secure coding practices, security & penetration testing, human factors and usability, mobile platform security, economics of security and legal and ethical issues. Course project and assignments may require Java, C, and/or scripting languages.

Prerequisites: Programming experience in C/C++ and Java; basic knowledge of command line UNIX tools; working knowledge of web application development.

*

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.

Classroom Locations

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