Structure, chemistry, and metabolism of biomolecules and their
role in the biochemical processes of living organisms
BCH 465
Protein and Nucleic Acid Biochemistry
3
Structure and function of proteins and nucleic acids, including
protein folding, enzymology, proteomics, DNA/RNA structure, replication,
transcription, and genomics.?
BIO 406
Computer Applications in Biology
3
fall?
Computer analysis techniques in biology emphasizing data entry,
management and analysis, and graphic portrayal. Employs mainframe and
microcomputers. 2 hours lecture, 3 hours lab
BIO 424
Mathematical Models in Ecology
4
selected semesters
Mathematical modeling of populations, communities, and
ecosystems, including case studies and student-designed projects. 3 hours
lecture, 3 hours lab
BIO 446
Principles of Human Genetics
3
once a yr
Molecular and cellular analysis of the human genome
BIO 543
Molecular Genetics
3
fall
Nature and function of the gene; emphasis on the molecular basis
of inheritance and gene expression in procaryotes and eucaryotes
BIO 545
Populations: Evolutionary Genetics
3
selected semesters
Mathematical models in the description and analysis of the
genetics of populations
CBS 540
Functional Genomics
3
spring
Functional relevance of genomic sequences; DNA arrays,
proteomics, analysis of genomic information for metabolic physiology of
organisms
CBS 572
Data Mining
3
spring
Advanced data mining techniques: classification, clustering,
association, preprocessing; performance evaluation; information assurance,
web mining, security and privacy issues, and other applications
CSE 412
Database Management
3
fall, spring
Introduces DBMS concepts. Data models and languages. Relational
database theory. Database security/integrity and concurrency.
FEE
CSE 450
Design and Analysis of Algorithms
3
fall, spring
Design and analysis of computer algorithms using analytical and
empirical methods; complexity measures, design methodologies, and survey of
important algorithms.
CSE 470
Computer Graphics
3
Introduces basic concepts of interactive computer graphics,
realistic rendering, and 3-D viewing.
FEE
CSE 477
Introduction to Computer-Aided Geometric Design
3
spring
Introduces basic concepts of 3-D computer geometry, including
curves, surfaces, meshes.
CSE 571
Artificial Intelligence
3
Definitions of intelligence, computer problem solving, game
playing, pattern recognition, theorem proving, and semantic information
processing; evolutionary systems; heuristic programming.?
CSE 470
Computer Graphics
3
once a yr
Introduces basic concepts of interactive computer graphics,
realistic rendering, and 3-D viewing.
FEE
CSE 471
Introduction of Artificial Intelligence
3
fall, spring
State space search, heuristic search, games, knowledge
representation techniques, expert systems, and automated reasoning. Fee
CSE 494
Advanced Database Concepts
3
fall, spring
Advanced data modeling, object-oriented databases and
object-relational databases. Web access to databases. Professionalism and
ethics in information access
CSE 494
Real-Time Embedded Systems
3
fall, spring
Development of embedded system software, I/O handlers, and
multiple threaded programs. Scheduling algorithms. Embedded software
structures. Real-time operating system
CSE 512
Distributed Database Systems
3
once a yr
Distributed database design, query processing, and transaction
processing. Distributed database architectures and interoperability. Emerging
technology
CSE 573
Advanced Computer Graphics II
3
selected semesters
Modeling of natural phenomena: terrain, clouds, fire, water, and
trees. Particle systems, deformation of solids, antialiasing, and volume
visualization. Lecture, lab
CSE 577
Advanced Geometric Modeling I
3
fall?
Advanced concepts of geometric modeling: rectangular and
triangular surfaces, triangle meshes, Voronoi diagrams, discrete and
continuous shape measures, volumes and volume visualization
CSE 591
Seminar
1-12
selected semesters
Topics will differ by semester (contact faculty for course
information)
IEE 520
Statistical Learning for Data Mining
3
fall
Surveys data analysis methods for massive data sets and provides
experience in analysis with computer software. Lecture, cooperative learning,
demonstrations
IEE 598
ST: Advanced Information & Systems Science
1-4
selected semesters
Advanced data mining algorithms and statistical data analysis
techniques, including support vector machines for classification and
prediction, supervised clustering algorithms for data clustering, Bayesian
data analysis and Bayesian networks for causal data association, principal
component analysis and multidimensional scaling techniques for data reduction
and feature extraction, statistical control chart techniques for anomaly or
outlier detection, and time series data analysis techniques for discovering
sequential or time-series data patterns. Applications to computer and network
data will be introduced and explored for information security and assurance,
together with applications to biomedical data such as brain neuronal data and
brain image data for disease prevention and treatment as well as other
biomedical applications.
MAT 421
Applied Computational Methods
3
fall, spring
Numerical methods for quadrature, differential equations, roots
of nonlinear equations, interpolation, approximation, linear equations,
floating-point arithmetic, and roundoff error
MAT 423
Numerical Analysis I
3
fall
Analysis and algorithms for numerical solutions linear/nonlinear
equations, direct solvers, iterative procedures, optimization. Determination
of eigenvalues. Elementary computer arithmetic
MAT 451
Mathematical Modeling
3
spring
Detailed study of 1 or more mathematical models that occur in
the physical or biological sciences. May be repeated for credit with
instructor approval
MAT 452
Introduction to Chaos and Nonlinear Dynamics
3
fall
Properties of nonlinear dynamical systems; dependence on initial
conditions; strange attractors; period doubling; bifurcations; symbolic
dynamics; Smale-Birkhoff theorem; and applications
MAT 462
Applied Partial Differential Equations
3
spring
Second-order partial differential equations, emphasizing
Laplace, wave, and diffusion equations. Solutions by the methods of
characteristics, separation of variables, and integral transforms.
MAT 475
Differential Equations
3
fall
Linear and nonlinear ordinary differential equations, asymptotic
behavior of solutions, stability, existence and uniqueness, limit sets,
Poincar-Bendixson theorem
MAT 476
Partial Differential Equations
3
spring
First-order quasilinear, second-order linear (wave, Laplace,
heat). Characteristics, harmonic functions, maximum principles, Fourier
series, separation of variables.
MAT 502
Neural Modeling
3
fall, spring
Mathematical modeling electrochemical processes in nerve. Cable
theory, neuronal branching, spines, bifurcation analysis of excitable
membrane models
MAT 520
Numerical Linear Algebra
3
fall
Direct solution of linear systems, iterative methods,
eigenvalues and eigenvectors, singular value decomposition, the QR algorithm,
error propagation, arithmetic, and stability
MAT 503
Mathematical Cell Physiology
3
spring
Mathematical modeling of dynamical aspects of cell physiology.
Diffusion, membrane transport, intracellular calcium channel kinetics,
calcium oscillations and waves.
MAT 504
Mathematical Aspects of Biotechnology
spring
Bacterial growth, bacterial genetics, gene expression,
stoichiometry of metabolic pathways, random walks, diffusion processes,
biofilms.
MAT 521
Iterative Methods
spring
Numerical methods for solving linear/nonlinear systems of
equations (symmetric, nonsymmetric). Iterative methods for linear systems,
conjugate gradients, multigrid methods, preconditioning, Krylov methods.
MAT 523
Numerical Optimization
3
selected semsters
Linear programming, unconstrained nonlinear minimization, line
search algorithms, conjugate gradients, quasi-Newton methods, constrained
nonlinear optimization, gradient projection, and penalty methods
Spectral Methods for Partial Differential Equations
3
selected semsters
Spectral, pseudospectral theory; Galerkin, collocation methods;
Tau-methods, global approximation properties, stability; convergence;
solutions for linear, nonlinear systems
MBB 445
Techniques in Moleculare Biology/Genetics
2
fall, spring
Molecular genetic principles: plasmid construction,
purification, and characterization; PCR; mutageneses; hybridization and
sequence analysis; protein quantitation, immunologic detection, and
electrophoresis
MBB 446
Techniques in Moleculare Biology/Genetics Lab
2
fall, spring
Molecular genetic principles: plasmid construction,
purification, and characterization; PCR; mutageneses; hybridization and
sequence analysis; protein quantitation, immunologic detection, and
electrophoresis
MBB 494
ST: Techniques Functional Genomics
3
spring
SEE INSTRUCTOR
MCB 540
Functional Genomics
3
spring
Functional relevance of genomic sequences; DNA arrays,
proteomics, analysis of genomic information for metabolic physiology of
organisms.
MCB 555
Advanced Molecular and Cellular Biology I
3
fall
Study of structural and functional organization of biomolecules
and cells, based on current literature. May be repeated once for credit. 3
hours lecture, discussion
MCB 556
Advanced Molecular and Cellular Biology II
3
spring
Continuation of MCB 555. May be repeated once for credit.
MIC 420
Immunology: Molecular and Cellular Foundations
3
fall
Molecular and cellular foundations of immunology.
Antibody/antigen interactions, cellular response, cytokines, immunogenetics,
immunoregulation, autoimmunity, psychoneuroimmunology research/medical
perspectives.
MIC 441
Bacterial Genetics
3
spring
Surveys genetic exchange and regulatory processes in bacteria
and their viruses. Bacteria and viruses as tools in genetic engineering.
MIC 442
Bacterial Genetics Laboratory
1
Techniques of mutagenesis, mapping, and strain and genetic
library construction
