Course Description Listing

University Bulletins

Course Description Listing

MSCS- 149 Cooperative Education Experience
MSCS- 192 Introductory Bioinformatics
MSCS- 249 Cooperative Education Experience
MSCS- 280 Graph Theory With Applications In Computer Science
MSCS- 349 Cooperative Education Experience
MSCS- 390 Topics
MSCS- 390 Topics: Algorithms And Artificial Intelligence
MSCS- 390 Topics: Introduction to Parallel Processing with CUDA
MSCS- 399 Independent Study
MSCS- 446 Numerical Analysis I
MSCS- 447 Numerical Analysis II
MSCS- 449 Cooperative Education Experience
MSCS- 475 Applied Mathematics Internship
MSCS- 492 Mathematical And Computational Foundations Of Bioinformatics
MSCS- 499 Independent Study
MSCS- 590 Topics

MSCS- 149 Cooperative Education Experience (1.00 - 8.00 cr.)
Repeatable: Yes
Work and study in an approved position to gain business/industrial/other experience. Normally entailing recurring, supervised work periods, each one building and expanding on the previous.
Department consent

MSCS- 192 Introductory Bioinformatics (2.00 cr.)
Repeatable: No
Introduction to the design, development, and application of bioinformatics tools for genomics and other integrated biological research questions. Some computer programming.

MSCS- 249 Cooperative Education Experience (1.00 - 8.00 cr.)
Repeatable: Yes
Work and study in an approved position to gain business/industrial/other experience. Normally entailing recurring, supervised work periods, each one building and expanding on the previous.
Department consent

MSCS- 280 Graph Theory With Applications In Computer Science (3.00 cr.)
Repeatable: No
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.

^{Prerequisite: take CS-244}

MSCS- 349 Cooperative Education Experience (1.00 - 8.00 cr.)
Repeatable: Yes
Work and study in an approved position to gain business/industrial/other experience. Normally entails recurring, supervised work periods, each one building and expanding on the previous.
Department consent

MSCS- 390 Topics (1.00 - 3.00 cr.)
Repeatable: Yes
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.

MSCS- 390 Topics: Algorithms And Artificial Intelligence (3.00 cr.)
Repeatable: No
An introduction to the design and analysis of computer algorithms. Concepts of artificial intelligence and machine learning to enhance analytical and problem solving skills.

^{Prerequisite: take CS-244}

MSCS- 390 Topics: Introduction to Parallel Processing with CUDA (2.00 cr.)
Repeatable: No
Introduction to parallel processing using the Compute Unified Device Architecture (CUDA) system. Overview of CUDA architecture, kernels, grids, threads, memory structure and performance considerations. Basic algorithms and examples of applications to computer graphics, image processing and scientific computing.

^{Prerequisites: take CS-244 and MATH-275}

MSCS- 399 Independent Study (1.00 - 3.00 cr.)
Repeatable: Yes

Department consent

MSCS- 446 Numerical Analysis I (3.00 cr.)
Repeatable: No
Theory and applications of numerical methods for linear algebra, non-linear equations and polynomial interpolation.

^{Prerequisites: take MATH-158, MATH-275 and CS-145}

MSCS- 447 Numerical Analysis II (3.00 cr.)
Repeatable: No
Theory and applications of numerical methods for approximation, numerical integration and differentiation, differential equations, and Fourier analysis.

^{Prerequisites: take MSCS-446 and MATH-255}

MSCS- 449 Cooperative Education Experience (1.00 - 8.00 cr.)
Repeatable: Yes
Work and study in an approved position to gain business/industrial/other experience. Normally entails recurring, supervised work periods, each one building and expanding on the previous.
Department consent

MSCS- 475 Applied Mathematics Internship (2.00 - 8.00 cr.)
Repeatable: Yes
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.
Department consent

^{Must be Junior level or higher}

MSCS- 492 Mathematical And Computational Foundations Of Bioinformatics (3.00 cr.)
Repeatable: No
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.

^{Prerequisites: must be Senior level and Applied Math & Computer Science major.}

MSCS- 499 Independent Study (1.00 - 3.00 cr.)
Repeatable: Yes

Department consent

MSCS- 590 Topics (1.00 - 3.00 cr.)
Repeatable: Yes
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.

Back to Course Descriptions