Teresa Zigh

Research interests include neural networks, genetic algorithms, time series analysis, Bayesian, and stochastic processes.

Dr. Teresa Zigh received her Bachelor of Engineering (1978), her Masters of Managment Science (1985) and her Ph.D. (1997) from Stevens. Her Ph.D. work examined the use of neural networks to discern meaning in English-language stories. Since receiving her doctorate, she has taught in both the Howe School of Management and the newly-formed School of Systems and Enterprises. She teaches a range of subjects: MIS, statistics and probability, artificial intelligence, operations research, and forecasting. She successfully developed and taught one of the first online courses in the Center for Improved Engineering and Science Education program, teaching elementary school educators to use the Web to enhance instruction in science and mathematics. Her areas of interest include statistics and probability, stochastic processes, modeling & simulation, applied neural networks and linguistics. She's currently employed at Stevens in the School of Systems and Enterprises, where she teaches students in the EM, ISE, and SE programs. She has spent most of her career in industry, working as an engineer and a programmer for firms such as Combustion Engineering, Computer Sciences Corporation, UPS, and most recently, Computershare, where she was responsible for the generation of over 50 million documents a year.

ISE 451
ISE 357/457
ISE 489/490
ISE/EM 345
EM 489
EM 605
ES 660
SYS 611
SYS 670
SYS 681