FALL 2006 Course Roadmap

FALL 2006 COURSE ROADMAP

Of the courses being offered in Fall 2006, the following are suitable
for most incoming MS students:

Fundamental Algorithms (G22.1170)
Programming Languages (G22.2110)
Unix Tools (G22.2245)
Operating Systems (G22.2250)
Data Communications and Networks (G22.2262)
Multimedia (G22.3033-005)
Application Servers (G22.3033-009)

Students with a strong mathematical background, particularly linear algebra, might also consider:

Scientific Computing (G22.2112)
Computer Graphics (G22.2270)
Computer Vision (G22.2271)
Machine Learning (G22.2565)
Recapturing Life (G22.3033-011)

We strongly recommend that incoming students take either
Fundamental Algorithms or Programming Languages in their first semester.

REQUIREMENT C of the MS requirements specifies that an MS student must pass at least
ONE course in TWO of the following applications areas:
Graphics, Computation for Science and Society, AI, and Databases.
The courses this fall (2006) satisfy this requirement are listed below.

NOTE: This requirement cannot be satisfied through independent study or MS thesis research; courses transferred from another institution cannot be

GRAPHICS

Computer Graphics (G22.2270)
Computer Vision (G22.2271)
Multimedia (G22.3033-005)
Computer Vision and Tracking (G22.3033-002)

Courses in this area from previous semesters:

User Interfaces
Experiments in Motion Capture

COMPUTATION FOR SCIENCE AND SOCIETY

Scientific Computing (G22.2112)
Numerical Methods 1 (G22.2420)
Numerical Methods for Time-Dependent PDEs (G22.2945-001)
Computational PDEs (G22.2945)
Monte Carlo Methods (G22.2960)
Computational Biology/Bioinformatics (G22.3033-004)

Courses in this area from previous semesters:

Topics in Numerical Analysis
Numerical Methods II
Linear Programming

AI

Computer Vision (G22.2271)
Machine Learning (G22.2565)
Advanced Machine Learning (G22.3033-003)
Machine Translation (G22.3033-006)
Mobile Robots (G22.3033-007)

Courses in this area from previous semesters:

Artificial Intelligence
Natural Language Processing
Foundations of Machine Learning
Data Warehousing and Mining

DATABASES

Courses in this area from previous semesters:

REQUIREMENT D of the MS requirements specifies that an MS student must pass at least one
LARGE-SCALE PROGRAMMING PROJECT COURSE. The following courses offered this semester
satisfy that requirement:

Compiler Construction (G22.2130)
Info. Tech. Projects (G22.3812)
Networks & Distributed Systems (G22.3033-010)

Courses from previous semesters that satisfy this requirement:

Compilers
Heuristic Problem Solving
High Performance Computer Architecture
Information Technology Products
Producing Production Quality Software
Software Engineering

NOTE: This requirement cannot be satisfied through independent study or MS thesis research; courses transferred from another institution cannot be used to satisfy this requirement.

For further course advice, contact: Ernest Davis (davise@cs.nyu.edu)
Director of Graduate Studies, MS program
Office Hours Monday 5:30 - 7:00 p.m. & Friday 10:30 - 11:30 a.m.
room 429 WWH
212 998-3123