Dr. Teresa Zigh
Ph.D. 1997 Stevens Institute of Technology
M. Mgmt. Sci. 1985 Stevens Institute of Technology
B. Engineering 1978 Stevens Institute of Technology
Research interests include neural networks, genetic algorithms, data mining, queueing theory, game theory, 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 is a research associate in the Graphical CONOPS projects as well as teaching and advising students in the Engineering Management and Systems Engineering 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.
SYS 670 Forecasting and Demand Modeling Systems
EM 605 Elements of Operations Research
EM 365 Statistics for Engineering Managers
EM 322 Engineering Design VI
EM 345 Modeling and Simulation
EM 451 Analysis of Networks & Strategies
EM 357 Elements of Operations Research
MA 649 Intermediate Differential Equations
COGN 602 Introduction to Artificial Intelligence
MGT 679 Management Informations Systems
COMM 530 Writing for Engineers