faculty

Hua Fang, PhD

Professor

Computer & Information Science

Computational Statistics and Data Science Lab Website

Contact

508-910-6411

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Violette Research 220B

Education

2006

Ohio University

PhD in Statistics

2006

Ohio University

MA/ MFE in Financial Economics

1998

Sichuan International Studies University, Chongqing, China

BA in Business, English

Teaching

Programs

Teaching

Courses

CIS 600: Master's Project

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.

CIS 690: Master's Thesis

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.

DSC 690: Master's Thesis

Written presentation of an original research topic in Data Science which demonstrates the knowledge & capability to conduct independent research. The thesis shall be completed under the supervision of a faculty advisor. An oral examination in defense is required.

EAS 701: Doctoral Dissertation Research

Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the College of Engineering. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the EAS Graduate Program Director.