Algebra and Discrete Mathematics

The area of algebra and discrete mathematics encompasses both theoretical and applied aspects of mathematics that are foundational for matrix analysis, modern algebra, number theory, combinatorics, and graph theory. This area of study has a significant impact on applications arising in statistics (linear models, experimental designs), probability (random models), operations research (mathematical programming, network analysis), communication engineering (coding theory, cryptography), and computer science (analysis of algorithms, nonnumerical computing). Students interested in the underlying theory of algebraic and discrete structures will also gain insights into how these concepts are fundamental to a wide array of practical problems.

 

Faculty

Curriculum

The algebra and discrete mathematics concentration is structured around the following courses: abstract algebra, matrix analysis, applicable algebra, combinatorial analysis, and graph theory. All of these courses emphasize the algebraic, combinatorial, and graph-theoretic structures used to model problems arising in engineering, the life sciences, economics, statistics, operations research, and computer science. Abstract algebra surveys groups, rings, fields, and lattices. Matrix analysis treats a variety of topics in matrix theory which support a modern applied curriculum. Combinatorial analysis emphasizes applied topics from enumeration, graph theory, optimization, and block designs. Graph theory is the study of paths and networks, connectivity, trees, coverings, and coloring problems. The applicable algebra course and associated selected topics courses (cryptography, coding theory, finite fields, computational algebra) cover material that is of great interest in computer design and in ensuring the accuracy and security of digital information. Additional courses are available that integrate concepts from algebra and discrete mathematics with the areas of analysis, computational mathematics, operations research, and probability/statistics.

Courses


abstract algebra I abstract algebra II

applicable algebra matrix analysis

graph theory advanced graph theory

combinatorics cryptography

coding theory finite fields

computational algebra I computational algebra II

Sample Curricula

- Sample Program for M.S. Concentration in Algebra

FALL: 805, 810, 853

SPRING: 860, 821, 851

SUMMER: 803

FALL: 822, 852, 855

SPRING: 854, 856, 985, 892

- Sample Program for M.S. Concentration in Discrete Mathematics

FALL: 800, 810, 853

SPRING: 805, 821, 854

SUMMER: 860

FALL: 814, 855, 865

SPRING: 851, 856, 985, 892

Recent M.S. Graduates (master's project title)

Recent Ph.D. Graduates (dissertation title)

Current Ph.D. Students (dissertation advisor)

Additional Algebra/Discrete Math Links


Last Updated: June 30, 2005
Send comments to: shierd@clemson.edu