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 student�s choosing. This course is not available
to students enrolled in degree programs in the
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:
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