MSCS Mathematics, Statistics and Computer Science


MSCS-280 Graph Theory With Applications in Computer Science 3 cr.
Fall and Spring
Basic logic and proving skills, Boolean Algebra, digital logic, recurrence relation, principles of graph theory, computer representation of graphs, properties of general graphs, structure and properties of special graphs, flow networks, computer applications of graph theory, algorighms and complexity analysis. Prerequisites: take CS-244.

MSCS-390 Topics 1-2 cr.
Topics of current importance in applications of mathematics to problems in business, industry, government or society. May be repeated for additional credit with consent of program director. R

MSCS-446 Numerical Analysis I 3 cr.
Theory and applications of numerical methods for linear algebra, non-linear equations and polynomial interpolation.

P: MATH-158, MATH-275, and CS-145.

MSCS-447 Numerical Analysis II 3 cr.
Theory and applications of numerical methods for approximation, numerical integration and differentiation, differential equations, and Fourier analysis.

P: MSCS-446, MATH-255.

MSCS-475 Applied Mathematics Internship 2-8 cr.
Fall, Spring and Summer
Off-campus work and study in approved position to gain experience in using computer and/or statistical techniques in the analysis and solution of real-world problems. Interns receive salaried appointments with cooperating companies for summer or summer plus one semester. Junior level or higher. R

MSCS-490 Mathematical Models I 2 cr.
Fall Semester
Supervised experiences in construction of mathematical models for the solution of problems in area of student's needs and interests; resource materials. Senior level or higher. Applied Mathematics and Computer Science majors only.

MSCS-491 Mathematical Models II 2 cr.
Spring Semester
Continuation of MSCS-490.
P: MSCS-490.

MSCS-492 Mathematical and Computational Foundations of Bioinformatics

Indepth examination of different types of algorithms employed in bioinformatics, their mathematical foundations, and software implementation. Topics in mapping DNA, sequencing DNA, comparing sequences, predicting genes, finding signals, identifying proteins, repeat analysis, DNA arrays, genome rearrangements, molecular evolution, phylogenetics, machine learning, systems biology and computational biology. Senior level or higher; Applied Math & Computer Science majors only.