Computer Sciences at NYU Open House January 2004
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Computer Sciences at NYU Computer Sciences at NYU Open House Open House January 2004 January 2004 Graduate Study at New York University The MS in Computer Sciences The MS in Information Systems The MS in Scientific Programming The PhD in Computer Science Questions and answers Reception with faculty
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Computer Sciences at NYU Open House January 2004. Graduate Study at New York University The MS in Computer Sciences The MS in Information Systems The MS in Scientific Programming The PhD in Computer Science Questions and answers Reception with faculty. Why study at NYU. - PowerPoint PPT Presentation
Transcript of Computer Sciences at NYU Open House January 2004
Computer Sciences at NYUComputer Sciences at NYU Open House Open House
January 2004January 2004
Graduate Study at New York University The MS in Computer Sciences The MS in Information Systems The MS in Scientific Programming The PhD in Computer Science Questions and answers Reception with faculty
Why study at NYUWhy study at NYU
Largest C.S. department in the area Many areas of strength High caliber, high quality program All courses taught by faculty (regular,
visiting, or industrial adjuncts) Possibility to get involved in research --
biocomputing, graphics, algorithms…. Great campus location!
Why study Computer ScienceWhy study Computer Science
Monetary: media, finance, communications, information technology, new industries.
Intellectual: Improve skills and ability to acquire new skills
Personal: It’s fun.
Subject Matter of the M.S. Subject Matter of the M.S. programprogram
BAs program; M.S. s design; PhDs do research. (Note: Most profs also program.)
You learn not only languages, you learn how to design languages, similarly for databases, operating systems etc.
Programming in the large (by small groups) Research environment Evening classes to accommodate working
professionals
Deeper UnderstandingDeeper Understanding
“...Everything is on the surface, you don’t read the rule book, you do it by tinkering. The danger is that this sort of tinkering becomes a model for all understanding” (Sherry Turkle, Sci.Am. April 1998)
An MS allows you to understand the details under the hood (and build your own engines when needed).
The field of Computer ScienceThe field of Computer Science
Foundations– basic sciences (algorithms, programming
languages, operating systems, compilers) Advanced technology
– staying current (cryptography, Java/XML, distributed computing, networking, animation, verification, visualization, biocomputing ...)
Foundation SubjectsFoundation Subjects
The scientific bases of computing:– Algorithms (also complexity and theory of
computation)– Programming Languages– Operating Systems– Compilers
Technological SubjectsTechnological Subjects
Software design methodologies Graphics, animation, and visualization Artificial Intelligence, NLP, Pattern Rec Numerical computing, Time Series Anal Secure file systems/Cryptography Databases, Distributed systems Internet programming & Multimedia
Requirements of MS in CSRequirements of MS in CS
36 credits (12 courses)
– typically 2-3 years (must be completed in five) Core Examination on Foundations
Specialization Area Possibility of internships/independent
studies/interdisciplinary courses.
Privileges of Grad studentsPrivileges of Grad students
Numerous seminars (10 a week) Libraries Coles Sports facility Meeting future colleagues
Some Research ProjectsSome Research Projects
Multimedia and user interfaces Robust distributed computation Performance of parallel systems Image recognition in industry and medicine Computational genomics Fluid dynamics and airfoils Motion capture/Query by humming.
The PAC ProgramThe PAC Program
For students with some professional experience (power user) but no undergraduate degree in CS
Reasonable math background Begins each Fall semester Adds 1 year, 8 credits
Some Entry StatsSome Entry Stats
General GREs > 700 in quantitative and 4.0 or better in analytic.
Strong grades Strong specific recommendations (from
work and/or academia) Relevant experience, knowledge and
desires.
Master’s in Information Master’s in Information SystemsSystems
The MS in Information Systems
– with the Stern School of Business
Roughly half computer science and half
business courses + capstone projects course
Aim is to train Chief Information Officers.
The Project courseThe Project course
Centerpiece of MSIS program. Offers students real-world experience Recent projects with The Gertrude Stein
Repertory Theatre and Bell Labs, HBO, ILX Systems, Inc. , InterWorld , The Hypertext Neurological Knowledgebase (THyNK), etc.
Master’s in Scientific Master’s in Scientific ComputingComputing
The MS in Scientific Computing is a joint
program with the Courant Math Department
Goal is to train designers of mathematical
programs in science and finance.
The Ph.D. ProgramThe Ph.D. Program 72 Credits (24 courses)
– Normally, 2 to 4 years more than M.S. Certification of practical and theoretical
skill. Oral preliminary exams Thesis
– Proposal– Submission– Defense
Some choices:Applications Some choices:Applications ProgrammingProgramming
– Graphics– Data Communications & Networks– Advanced topics in data communications– Advanced topics in Operating Systems– User Interfaces– Real-Time programming– Unix tools– Groupware
Staying CurrentStaying Current
Quick-learning from fad to fad is not
enough (“No, but I’ve heard of it…”)
Needs solid scientific / technical basis to
recognize and adapt to innovation.
How: foundation courses + timely courses
from leading researchers and practitioners.
Some Areas of SpecializationSome Areas of Specialization
– Software Engineering– Applications Programming– Databases and distributed Computing– Numerical Analysis– Artificial Intelligence– Computer Architecture– Graphics– Internet technologies and Multimedia
