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Shelley Zhang, PhD

Professor

Computer & Information Science

Dr. Shelley Zhang’s Research Website

508-999-8294

508-999-9144

shelley.zhang@umassd.edu

Dion 302C

Education

2002University of Massachusetts AmherstPhD in Computer Science
1998University of Massachusetts AmherstMS in Computer Science
1995University of Science & Technology of ChinaB.S. in Computer Science

Teaching

Programs

Teaching

Courses

Artificial intelligence problem-solving paradigms. The course covers heuristic versus algorithmic methods, rational and heuristic approaches, and description of cognitive processes; and objectives of work in artificial intelligence, the mid-brain problem and nature of intelligence, simulation of cognitive behavior, and self-organizing systems. Examples are given of representative applications.

Evaluation of algorithms concerning their time and space complexity. Complexity hierarchies, axiomatic approach to computational complexity, NP complete problems, approximation algorithms for these problems.

Prerequisites: Completion of three core courses.   Development of a detailed, significant project in computer science under the close supervision of a faculty member, perhaps as one member of a student team. This project may be a software implementation, a design effort, or a theoretical or practical written analysis. Project report with optional oral presentation must be evaluated by three faculty members including the project supervisor.  

Prerequisites: Completion of three core courses.   Development of a detailed, significant project in computer science under the close supervision of a faculty member, perhaps as one member of a student team. This project may be a software implementation, a design effort, or a theoretical or practical written analysis. Project report with optional oral presentation must be evaluated by three faculty members including the project supervisor.  

Prerequisite: Completion of three core courses. Research leading to submission of a formal thesis. This course provides a thesis experience, which offers a student the opportunity to work on a comprehensive research topic in the area of computer science in a scientific manner. Topic to be agreed in consultation with a supervisor. A written thesis must be completed in accordance with the rules of the Graduate School and the College of Engineering. Graded A-F.

Prerequisite: Completion of three core courses. Research leading to submission of a formal thesis. This course provides a thesis experience, which offers a student the opportunity to work on a comprehensive research topic in the area of computer science in a scientific manner. Topic to be agreed in consultation with a supervisor. A written thesis must be completed in accordance with the rules of the Graduate School and the College of Engineering. Graded A-F.

Prerequisite: Graduate standing; approval by advisor, graduate program director and department chairperson. Experiential learning in conjunction with an industrial or governmental agency project under the joint supervision of an outside sponsor and a faculty advisor. To be eligible, a student should have completed at least half of his/her program of study. A detailed project proposal must be prepared by the student for departmental approval prior to the start of the project. Upon completion, student must submit a report on the experience and make a short presentation to his/her graduate committee. This course may be used to satisfy one 3-credit graduate technical elective course.

Research

Research Interests

  • Agent control and reasoning under uncertainty
  • Artificial intelligence
  • Distributed systems
  • e-commerce
  • Intelligent agent architecture designing
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