Covers topics not regularly offered. Recent areas include parallel algorithms, neural networks and pattern recognition, software testing, theoretical foundations of programming languages, computational geometry, high performance architecture, parallel numerical computation, mathematical problems in biology, selected theoretical topics in artificial intelligence, combinatorial geometry, and probabilistic methods. Current course descriptions are available from the graduate office.
GSAS /
NYU
-- last modified 24 September 1996