Mathematics and Computer Science

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GRADUATE DEGREES OFFERED 

Master of Arts in Mathematics
Master of Science in Mathematics
Master of Science in Computer Science

Department of Mathematics and Computer Science
Root Hall, room A-115
Phone: 812-237-2130
Fax: 812-237-4296
E-mail: mathcs@indstate.edu

Department Chairperson: Dr. Liz Brown
Associate Chairperson of Computer Science: Dr. Jeff Kinne

GRADUATE FACULTY

Professors

Brown, Elizabeth M., Ph.D, University of Utah
Professor of Mathematics and Computer Science
Specialization:  Mathematics Education

Exoo, Geoffrey, Ph.D., University of Michigan
Professor of Mathematics and Computer Science
Specialization: Combinatorics, Graph Theory, Computer Science

Kinne, Jeffrey J., Ph.D., University of Wisconsin
Associate Professor of Computer Science
Specialization: Computer Science

Zhao, Cheng, Ph.D., West Virginia University
Professor of Mathematics and Computer Science
Specialization: Combinatorial Optimization, Graph Theory

Associate Professors

Abhyankar, R.B., Ph.D., Purdue University
Associate Professor of Mathematics and Computer Science
Specialization: Computer Science

Frost, Jodi L., Ph.D., University of Idaho
Associate Professor of Mathematics and Computer Science
Specialization: Mathematics Education

Ko, Yi-Yin (Winnie), Ph.D. University of Wisconsin
Associate Professor of Mathematics and Computer Science
Specialization: Mathematics Education

Rafiey, Arash, Ph.D., Royal Holloway University of London
Assistant Professor of Mathematics and Computer Science
Specialization:  Computer Science

Sternfeld, Robert W., Ph.D., University of Wisconsin
Associate Professor of Mathematics and Computer Science
Specializations: Computer Science, Topology

Assistant Professors

Inlow, Mark, Ph.D., Texas A&M University

Assistant Professor of Mathematics and Computer Science

Specialization: Statistics

Isaia, Vincenzo, Ph.D., University of Wyoming

Assistant Professor of Mathematics and Computer Science

Specialization: Applied Mathematics

Lodge, Russell, Ph.D., Indiana University

Assistant Professor of Mathematics and Computer Science

Specialization: Mathematics

Taylor, Christine, Ph.D., North Carolina State University

Assistant Professor of Mathematics and Computer Science

Specialization:  Mathematics Education

Peng Zhao, Ph.D., Ohio State University

Assistant Professor of Mathematics and Computer Science

Specialization:  Mathematics

INTRODUCTION

The Department of Mathematics and Computer Science offers programs leading to the Master of Arts in Mathematics, Master of Science in Mathematics, and Master of Science in Computer Science. The MS in Computer Science offers the following concentrations: academic, bioinformatics, data science, professional. In addition, graduate offerings support teacher education and advanced degree programs in other divisions and departments.

The Department of Mathematics and Computer Science is located in Root Hall. The Department maintains a modern Linux computer laboratory that is available for student use, classrooms with Linux computers, and a number of servers that are used for coursework.

The University library holdings in mathematics and computer science consist of a variety of mathematics journals and periodicals as well as numerous books in all areas. There is also a free database search service for graduate students. 

DEGREE REQUIREMENTS

Mathematics MA: A minimum of 36 credit hours is required for graduation. One-half of the credit hours must be in courses numbered 600 or above and include coursework in mathematics and teaching mathematics.

Mathematics MS:  A minimum of 33 credit hours is required for graduation. One-half of the credit hours must be in courses numbered 600 or above.

Computer Science: A minimum of 33 credits is required for graduation. One-half of the credits must be in courses numbered 600 or above.  Four concentrations are available. The Academic Concentration ensures a strong foundation in computer systems and algorithms. The Bioinformatics concentration ensures knowledge and skills in bioinformatics algorithms, the most important software packages and pipelines, how biological data is acquired, and important bioinformatics questions. The Data Science Concentration gives a strong foundation in the mathematics, algorithms, and software packages used to manage various types of data, analyze data, and communicate results. The Professional Concentration gives a foundation in the core of computer science and ensures students gain skills and knowledge in important application areas.

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