Course Schedule

Current semester Fall 2013, and future semesters are now available to view.

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• CSCI-GA.3033-​007
  (1198) Special Topics: Music Software Projects  Scott Burton
  Office Hours F 4:00-5:50PM 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 how both music and software are constructed. Student teams will build software in phases which will demonstrate the underlying rules in modern western music theory. The beauty of software is that it can be applied in just about any domain.

  Music students are encouraged to apply even though this course is primarily a software development class. The interdisciplinary product development teams will be composed of at least one engineer and one subject domain expert who will work together on the assignments. The software the teams build will be used to demonstrate how music theory developed as well as give students an intuitive grasp of some fascinating underlying universal truths.

• CSCI-GA.3033-​009
  (2099) Special Topics: Cloud Computing: Concepts & Practice  Sambit Sahu F 7:10-9:00PM CIWW 101
  

  Course Description:

  This is a graduate level course on Cloud Computing with emphasis on hands-on design and implementations. Both Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) cloud technologies and concepts will be covered. By the end of the course, students should have fair amount of knowledge about how to use a Cloud, write applications on Cloud and build your own private Cloud.

  The first part of the course covers basic building blocks such as virtualization technologies, virtual appliance, automated provisioning, elasticity, and cloud monitoring. We shall learn these concepts by using and extending capabilities available in real clouds such as Amazon AWS, Google App Engine and OpenStack.

  The second part of the course will cover more advanced topics with emphasis on ultra large scale systems, computation models and storage clouds for big data. Example topics are storage cloud, cloud security, Hadoop for Big Data, Network Virtualization (SDNs) and new services leveraging cloud migration. Several real world applications will be covered to illustrate these concepts and research innovations including Facebook Cassandra, Amazon Dynamo, Google Big Table, Hadoop HDFS, Yahoo Zookeeper.

  Students will benefit from background in Operating Systems, and object oriented programming such as Java. The students are expected to participate in class discussions, present research papers, and conduct a significant course project.

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  Indicates controlled enrollment (permission number required for registration). Contact Santiago Pizzini (pizzini@cs.nyu.edu).
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  Indicates controlled enrollment (permission number required for registration). Contact the instructor.

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Classroom Locations

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