Current Offerings

Please contact the Office of Graduate Studies at 434.544.8464 or for additional information, to determine possible eligibility for partial grant scholarship support, and for registration information regarding any of these classes. Only science courses are listed here. To view all offered classes, please see course offerings.

Students at work in ENVS 650.

Spring 2015

MATH 604
Mondays, 4:30 - 7 p.m.
Dr. Danny Cline

Theory of Numbers (3) This course explores the properties of the integers and related structures through the use of various algebraic techniques, beginning with a study of the Euclidean algorithm, divisibility, primes, and congruence. Additional topics will be selected from the Chinese Remainder Theorem, Diophantine equations, residues, quadratic reciprocity, primitive roots, number-theoretic functions, continued fractions, unique factorization, algebraic integers, number fields, equations over finite fields, and other topics in Number Theory.

ENVS 600
Tuesdays, 7 - 9:30 p.m.
Dr. Greg Eaton

Concepts in Earth and Environmental Science (3) Focuses on a variety of specific earth and environmental science content, concepts, and laboratory and field skills that teachers are required to address when teaching earth science at the middle and high school levels. Topics include plate tectonics, the rock cycle, Earth’s history, oceans, atmosphere, weather and climate, the solar system and universe, and land and water resource issues.

Summer 2015 

MATH 605
June 8-26, M-F, 1 - 4 p.m.
Dr. Leslie Hatfield

The Mathematics of Coding Theory (3) This course will explore the mathematics necessary for communicating information in the presence of noise. Topics will be selected from decoding algorithms, linear codes and basic vector space theory, Hamming codes, Reed Solomon codes, BCH codes, minimum weight and distance, and error detection and correction schemes.

MATH 606 
July 13-31, M-F, 1-4pm
Dr. Kevin Peterson

Math Explorations (3) This course will allow students to explore the world of mathematical problem solving, focusing on the use of computers, models, and examples to investigate problems rather than formal rigid processes to uncover a solution. Selected topics will include, but will not be limited to, number theory, probability, mathematical modeling, graph theory, fractals, real analysis, and open math problems.