 | | Charles Suffel | | Professor, Dean of Graduate Academics |  | | School: | Schaefer School of Engineering & Science | | Department: | Mathematical Sciences | | Program: | Mathematics
| | Office: | Graduate Academics
|
| | Location: | 409 Edwin A. Stevens Hall | | Phone: | 201.216.8031 | | Fax: | 201.216.8909 | | Email: | csuffel@stevens.edu |
| Close
MA 502:Mathematical Foundations of Computer Science
This course provides the necessary mathematical prerequisites for the computer science master’s program and also serves as a foundation for further study in mathematics. The topics covered include prepositional calculus: predicates and quantifiers; elementary number theory and methods of proof; mathematical induction; elementary set theory; combinatorics; functions and relations; countability; recursion and O-notation. Applications to computer science are stressed. |
|
Close
CS 503:Discrete Mathematics for Cryptography
Topics include basic discrete probability, including urn models and random mappings; a brief introduction to information theory; elements of number theory, including the prime number theorem, the Euler phi function, the Euclidean algorithm, and the Chinese remainder theorem; and elements of abstract algebra and finite fields including basic fundamentals of groups, rings, polynomial rings, vector spaces, and finite fields. Carries credit toward the Applied Mathematics degree only when followed by CS 579. Recommended for high-level undergraduate students. |
|
Close
CS 630:Models of Computation and Formal Languages
Analysis of finite automata and regular sets. Formal languages and grammars, and Chomsky-hierarchy. Context-free languages and PDAs. Applications to parsing. |
|
Close
MGT 621:Management Models
This course covers mathematical and computer-based models which assist managers in decision-making, including resource allocation, transportation, inventory management, congestion phenomena, service processes, and shortest routes and maximum flow of goods. Emphasis is on model formulation from real-world situations, development of alternative solutions using computer models, and post-optimality analysis. |
|
|
|
Print
