Course Descriptions

BIOL 5376 Applied Bioinformatics (3 semester hours) Genomic information content; database searches; pairwise and multiple sequence alignment; mutations and distance-based phylogenetic analysis; genomics and gene recognition; genetic polymorphisms and forensic applications; nucleic-acid and protein array analysis; structure prediction of biological macromolecules. Lectures are augmented with laboratory exercises and demonstrations.Introductory statistics and 2 semesters of calculus required. (3-0) Y
BIOL 5381 Genomics (3 semester hours) The fundamentals of how the human genome sequence was acquired and the impact of the human genome era on biomedical research, medical care and genetic testing will be explored.†† New tools such as DNA microarray, realtime PCR, mass spectrometry and data mining using bioinformatics will be covered.(3-0) Y

MATH 6341 Bioinformatics (3 semester hours) Fundamental mathematical and algorithmic theory behind current bioinformatics techniques will be taught. These methods will be implemented by the student. They include hidden Markov models, dynamic programming, genetic algorithms, simulated annealing, neural networks, cluster analysis, and information theory. Prerequisites: Knowledge of Unix and a programming language (C, C++, or FORTRAN) (3-0) Y
BIOL 6373 Proteomics (3 semester hours) Protein identification, sequencing, and analysis of post-translational modifications by mass spectrometry; understanding protein interactions and function using protein chip microarrays. (3-0) Y
BIOL 6384 Biotechnology Laboratory (3 semester hours) Laboratory instruction in LC/MS/MS analysis of protein sequence, ICAT reagents, and MS analysis of cellular proteomes, PCR and DNA Sequencing, and DNA microarray analysis; AFM and confocal microscopy and fluorescence activated cell sorting. ††Instructor may require students to demonstrate adequate laboratory skills in order to enroll.(1-4) Y

CS 6372 Biological Database Systems and Datamining (3 semester hours) Describes relational data models and database management systems; teaches the theories and techniques of constructing relational databases to store various biological data, including sequences, structures, genetic linkages and maps, and signal pathways. Introduces relational database query language SQL, with an emphasis on answering biologically important questions. Summarizes currently existing biological databases. Addresses questions in data integration from various sources and security. Introduces novel data mining methods in bioinformatics area with an emphasis on protein structure prediction, homology search, genomic sequence analysis, gene finding and gene mapping. The future directions for biological database development are also discussed. Prerequisites: BIOL 5373 (Proteomics), BIOL 5381 (Genomics), Data structures (satisfied by taking CS 5343: Data Structures and Algorithms): lists, stacks, queue, searching, sorting, binary search tree, hashing, priority queues, graphs).(3-0) Y.


A sampling of electives available to students in the Biotechnology M.S. program follows:

BIOL 5202 The Human Genome (2 semester hours) Analysis of the two groundbreaking articles published in 2001 in the journals Nature and Science on the human genome sequence, focusing on their impact on biotechnology, the treatment of human disease, and society. (2-0) T
ENTP 6360 Entrepreneurial Ventures (3 semester hours)

This course is designed to provide an introduction to entrepreneurship for non-management students. The course emphasizes the development of technology-based ventures, addressing opportunity identification and evaluation, market assessment, startup strategies, business valuation, business plan development, venture financing, and startup management. Guest lectures by practicing entrepreneurs and investors provide a real-world perspective. The major deliverable of this course is an early stage feasibility analysis of a venture of the studentís choosing. This course is not available to students enrolled in degree programs in the School of Management. (3-0) S
CS 6360 Database Design (3 semester hours) Methods, principles, and concepts that are relevant to the practice of database software design. Database system architecture; conceptual database models; relational and object-oriented databases; database system implementation; query processing and optimization; transaction processing concepts, concurrency, and recovery; security. Prerequisite: CS 5343. (3-0) S
CS 5343 Algorithm Analysis & Data Structures (3 semester hours) Formal specifications and representation of lists, arrays, trees, graphs, multilinked structures, strings and recursive pattern structures. Analysis of associated algorithms. Sorting and searching, file structures. Relational data models. Prerequisites: CS 5303, CS 5333. (3-0) S
CS 6363 Design and Analysis of Computer Algorithms (3 semester hours) The study of efficient algorithms for various computational problems. Algorithm design techniques. Sorting, manipulation of data structures, graphs, matrix multiplication, and pattern matching. Complexity of algorithms, lower bounds, NP completeness. Prerequisite: CS 5343 (3-0) S
FIN 6301 Financial Management (3 semester hours) Theoretical and procedural considerations in the administration of the finance function in the individual business firm; planning, fundraising, controlling of firm finances; working capital management, capital budgeting and cost of capital. Corequisites: STAT 5311 and ACCT 6305, or consent of instructor. (3-0) S
MATH 6343 Computational Biology (3 semester hours) Mathematical and computation methods and techniques to analyze and understand problems in molecular biology will be taught. This will include sequence homology and alignment, genetic mapping, protein folding, and DNA computing. Prerequisite MATH 2418.
MATH 6345 Mathematical Methods in Medicine and Biology (3 semester hours) Introduction to the use of mathematical techniques in solving biologically important problems. Some examples of topics that might be covered are biochemical reactions, ion channels, cellular signaling mechanisms, kidney function, nerve impulse propagation. Prerequisities: MATH 1471, MATH 1472, (MATH 2420 recommended)
OB 6232 Conflict and Negotiation in Organization (2 semester hours) Analysis of negotiation and conflict resolution techniques in interpersonal, group, and international negotiations. Theoretical concepts and practical techniques for successful negotiation with emphasis on understanding the co-negotiator; analyzing negotiation style and its fit with the situation; and managing the team dynamics associated with most negotiations. Prerequisite: OB 6301 or consent of instructor. (2-0) T
PHYS 5323 Virtual Instrumentation with Biomedical, Clinical and Healthcare Applications (3 semester hours) The application of the graphical programming environment of LabView will be demonstrated with examples related to the health care industry. Examples will be provided to highlight the use of the personal computer as a virtual instrument in the clinical and laboratory environment. A laboratory is provided for hands-on training to augment the lecture. (3-0)R
POEC 7341 Health Policy (3 semester hours) The history and political economy of the U.S. health care system and a review of major governmental programs to expand access to appropriate services, control rising costs, ensure the quality of care, and promote health through prevention. Analysis of current and recent proposals for reform of health care policy. (3-0) Y
ECO 7331 The Emerging Biotechnology Industry (3 semester hours) Examines economic and public policy influences shaping biotech industry development and shifting competitiveness factors. Patterns of R&D funding and investment, innovation and commercialization will be analyzed, as will prospects for drawing on science advances in other industries. (3-0) Y