Course Schedule and Catalog

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Distribution Group: Distribution Group III

Credit Hours: 3

Description: DATA, MODELS, AND REALITY: AN INTRODUCTION TO THE SCIENTIFIC METHOD ***** The formation of models of reality and the ways models are tested by their analysis in the light of data are considered. We cover a variety of examples from antiquity to the present time. Only offered in the Spring.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Distribution Group: Distribution Group III

Credit Hours: 4

Description: ELEMENTARY APPLIED STATISTICS ***** A noncalculus introduction to statistical methods with emphasis on techniques. Includes computer laboratory.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Distribution Group: Distribution Group III

Credit Hours: 3

Description: MODEL BUILDING ***** Examples to illustrate mathematical formulation (modeling) of scientific problems, their solution and interpretation. ***** Prerequisite(s): MATH 211 or consent of instructor.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Distribution Group: Distribution Group III

Credit Hours: 4

Description: INTRODUCTION TO STATISTICS FOR BIOSCIENCES ***** An introduction to statistics for Biosciences with emphasis on statistical models and data analysis techniques. Computer-assisted data analysis, including biological examples, is explored in laboratory sessions. ***** Prerequisite(s): MATH 101, 102.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Distribution Group: Distribution Group III

Credit Hours: 3

Description: PROBABILITY & STATISTICS ***** Probability theory and the central concepts and methods of statistics. ***** Also offered as ECON 382. ***** Prerequisite(s): MATH 102; MATH 212 is recommended.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): STAT 310

Description: Practical applications adn relevance of infrastructure risk are developed in the context of real engineering problems and phenomena, including unique systems and challenges of the gulf const area. The course starts with a survey of the role of probability in engineering and focuses on computer-based methods, the Bayesian approach, risk analysis tools, and infrasctructure safety. Repeatable for Credit.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: APPLIED PROBABILITY ***** Elementary probability theory, conditional probability, independence, discrete and continuous random variables, expectation, standard discrete and continuous distributions, transform techniques, central limit theorems, estimation, and correlation. Selected topics such as the Poisson process, Markov chains, and statistical techniques. Illustrations from engineering. ***** Also offered as ELEC 331. ***** Prerequisite(s): MATH 212.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 4

Description: STATISTICAL METHODS-PSYCHOLOGY ***** Also offered as PSYC 339. http://davidmlane.com/teaching/psych339_s05/

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 4

Prerequisite(s): STAT 280 OR STAT 305

Description: METHODS FOR DATA ANALYSIS AND SYSTEM OPTIMIZATION ***** The three general topic areas covered in this methodology oriented course are statistical methods including regression, sampling, and experimental design; simulation based methods in statistics, queuing and inventory problems; and an introduction to optimization methods. Excel will serve as the basic computing software. ***** Prerequisite(s): STAT 280 or 305 or equivalent. ***** Course offered Spring semester.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: ECONOMETRICS ***** Also offered as ECON 400.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: INTRODUCTION TO REGRESSION AND STATISTICAL COMPUTING ***** A survey of statistical methods with emphasis on computing and computing environments, focusing on applied regression and experimental design. ***** Prerequisite(s): STAT 310 or consent of instructor.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: STATISTICAL PROCESS CONTROL AND EXPERIMENTAL DESIGN ***** An historical development of quality control including the approaches of Ford, Pareto, Shewhart, Deming, Box and Tageuchi.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): STAT 310

Description: COMPUTATIONAL FINANCE II: TIME SERIES ANALYSIS ***** Applied time series modeling and forecasting, with applications to financial markets. ***** Prerequisite(s): STAT 310 or permission of instructor. ***** Course offered Spring semester.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): STAT 410

Description: BAYESIAN DATA ANALYSIS ***** This course will cover Bayesian methods for analyzing data. The emphasis will be on applied data analysis rather than theoretical development. We will consider a variety of models, including linear regression, hierarchical models, and models for categorical data. ***** Prerequisite(s): STAT 410. ***** Course offered Fall semester.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): STAT 305 OR STAT 310 OR STAT 331

Description: PROBABILITY IN BIOINFORMATICS AND GENETICS ***** Advances in computers and biotechnology have had an immense impact on the biomedical fields. Correspondingly, new areas of probability and statistics are being developed specifically to meet the needs of this area. This course describes some of the main statistical applications in the field, including gene finding and evolutionary inference. ***** Prerequisite(s): STAT 305 or 310 or 331, or permission of instructor. ***** Course offered Spring semester.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): STAT 310

Description: OVERVIEW OF MATHEMATICAL STATISTICS ***** Topics include random variables, distributions, transformations, moment generating functions, common families of distributions, independence, sampling distributions, the basics of estimation theory, hypothesis testing and Bayesian inference. ***** Prerequisite(s): STAT 310.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 2

Prerequisite(s): STAT 310 OR STAT 305 AND STAT 410 OR STAT 421 OR STAT 422 OR STAT 431

Description: PRACTICUM IN STATISTICAL MODELING ***** This course introduces current theoretical and applied problems encountered in statistical practice. The content changes each semester in response to contemporary topics. ***** Prerequisite(s): STAT 310 or 305 and one of 410, 421, 422. ***** Course offered Spring semester.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): STAT 410

Description: BIOSTATISTICS, STATISTICAL GENETICS, AND BIOINFORMATICS ***** An overview of methodologies used in Biostatistics, Statistica Genetics1, and Bioinformatics. ***** Prerequisite(s): STAT 410 or permission of instructor. ***** Course offered Spring semester. Mutually Exclusive: Cannot register for STAT 453 if student has credit for STAT 553.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 4

Description: FROM SEQUENCE TO STRUCTURE: AN INTRODUCTION TO COMPUTATIONAL BIOLOGY ***** This course is a modern introduction to problems in computational biology spanning sequence to structure. The course has three modules: the first introduces statistical techniques in sequence analysis; the second covers statistical machine learning techniques for understanding experimental data generated in computational biology; and the third introduces problems in the structure of complex biomolecules. ***** Also offered as COMP 470. ***** Course offered Spring. ***** Prerequisite(s): COMP 280, COMP 212, STAT 310 ***** Instructor(s): Kavraki, Subrmanian, Guerra, Kimmel

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): STAT 305 STAT 310

Description: COMPUTATIONAL FINANCE I: MARKET MODELS ***** This course takes the classical efficient market models and superimposes upon it models for other stochastic phenomena not generally accounted for in efficient market theory, showing how risk is lessened by portfolios and other mechanisms. The course uses computer simulations as an alternative to closed form solutions. ***** Prerequisite(s): STAT 310 or near equivalent.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Independent Study

Credit Hours: 1 TO 6

Description: INDEPENDENT STUDY ***** No description. Repeatable for Credit.

Department: Statistics

Grade Mode: Satisfactory/Unsatisfactory

Course Type: Independent Study

Credit Hours: 0 TO 6

Description: INDEPENDENT STUDY ***** No description. ***** Course offered Spring semester. Repeatable for Credit.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: INTRODUCTION TO STATISTICS ***** Also offered as POLI 495.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Seminar

Credit Hours: 1 TO 3

Description: MATHEMATIC SCIENCES VIGRE SEMINAR ***** This course prepares a student for research in the mathematical sciences on a specific topic. Each section is dedicated to a different topic. Current topics include bioinformatics, biomathematics, computational finance, simulation driven optimization, and data simulation. The topics change each semester. ***** Also offered as CAAM 499 and MATH 499. Repeatable for Credit.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: TOPICS IN METH & DATA ANALYSIS ***** See POLI 503 schedule.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: ADVANCED PSYCHOLOGICAL STATISTICS I ***** Also offered as PSYC 502.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: ADVANCED PSYCHOLOGICAL STATISTICS II ***** See PSYC 503 for schedule.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): STAT 581 AND STAT 431

Description: MATHEMATICAL STATISTICS I ***** The first semester in a two-semester course in mathematical statistics: random variables, distributions, small and large sample theorems of hypothesis testing, point estimation, and confidence intervals; topics such as exponential families, univariate and multivariate linear models, and nonparametric inference will also be discussed. Required for graduate students in statistics. ***** Prerequisite(s): STAT 431 and 581 or permission of instructor. ***** Course offered Spring semester.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): STAT 582 AND STAT 532

Description: ADVANCED STATISTICAL INFERENCE ***** A continuation of STAT 532. Required for Ph.D. students in statistics. ***** Prerequisite(s): STAT 532 and 582.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: PRACTICUM IN STATISTICAL MODELING ***** This course introduces current theoretical and applied problems encountered in statistical practice. The content changes each semester in response to contemporary topics. Designed for graduate students in statistics. ***** Course offered Spring semester. Repeatable for Credit.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: MULTIVARIATE ANALYSIS ***** Study of multivariate normal theory, principal components, factor analysis, discrimination, and hypothesis testing. ***** Course offered Fall semester.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: SIMULATION ***** Topics in stochastic simulation including; random number generators; Monte Carlo methods, resampling methods, Markov Chain Monte Carlo, importance sampling and simulation based estimation for stochastic processes. ***** Course offered Spring semester.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: DESIGN & ANALYSIS OF EXPERIMENTS AND SAMPLING THEORY ***** No description. ***** Course not offered 2004-2005.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: SURVIVAL ANALYSIS ***** No description.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: ADVANCED TOPICS IN TIME SERIES ***** The course will cover current topics in both modeling and forecasting discrete and continuous time series. A brief coverage will also be given to spatial and spatial-temporal processes. Emphasis will be placed on applications in the area of computational finance. ***** Course not offered 2004-2005.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: APPLIED STOCHASTIC PROCESSES ***** This course covers the theory of some of the most frequently used stochastic processes in application; discrete and continuous time, Markov chains, Poisson and renewal processes, and Brownian motion.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): STAT 410

Description: BIOSTATISTICS ***** Same as STAT 453 with advanced problem sets. ***** Prerequisite(s): STAT 410 or permission of instructor. ***** Course offered Spring semester. Mutually Exclusive: Cannot register for STAT 553 if student has credit for STAT 453.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: STOCHASTIC MODELS IN GENETICS ***** No description. ***** Course not offered 2004-2005.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: BAYESIAN FOUNDATIONS OF STATISTICAL INFERENCE ***** The basic theory and philosophy of the Bayesian approach to Statistics will be presented along with some comparison with other approaches. Much of the course will be spent on specific applications with an emphasis on recent developments in computational methods. ***** Course not offered 2004-2005.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: MATHEMATICAL PROBABILITY I ***** Measure-theoretic foundations of probability. Open to qualified undergraduates. ***** Also offered as CAAM 581.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): STAT 581

Description: MATHEMATICAL PROBABILITY II ***** Continuation of STAT 581. ***** Prerequisite(s): STAT 581. ***** Course offered Spring semester.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: INTRODUCTION TO RANDOM PROCESSES & APPLICATIONS ***** Also offered as ELEC 533.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: WAVELET AND SPECTRAL ANALYSIS ***** See ELEC 532.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Independent Study

Credit Hours: 1 TO 15

Description: INDEPENDENT STUDY ***** No description. Repeatable for Credit.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Independent Study

Credit Hours: 1 TO 6

Description: INDEPENDENT STUDY ***** No description. Repeatable for Credit.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Seminar

Credit Hours: 1 TO 3

Description: GRADUATE SEMINAR IN STATISTICS ***** No description. Repeatable for Credit.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 5

Description: ADVANCED ECONOMIC STATISTICS ***** Also offered as ECON 504.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 5

Description: ECONOMETRICS I ***** See ECON 510 for schedule.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 5

Description: ECONOMETRICS II ***** See ECON 511.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: SPECIAL TOPICS ***** STAT 620 through 689 are seminars on advanced topics in Statistics.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Seminar

Credit Hours: 3

Description: EXTREME VALUE THEORY ***** Extreme Value Theory is used in many areas such as financial markets, risk management, environmental studies, as well as network design. In this course we will study the theory and practice of extreme value theory. ***** Prerequisite(s): STAT 431, STAT 532, and 533 are not required but are recommended.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: DATA MINING AND STATISTICAL LEARNING ***** Survey of ideas, methods, and tools for analyzing large data sets; techniques for searching for unexpected relationships in data. Topics from supervised and unsupervised learning include regression, discriminant analysis, kernels, model selection, bootstrapping, trees, MARS, boosting, classification, clustering, neural networks, SVM, association rules, principal curves, multidimensional scaling, and projection pursuit.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Seminar

Credit Hours: 3

Description: STATISTICAL METHODS IN BIOINFORMATICS ***** Topics will include but are not limited to micro arrays, molecular evolution and stochastic processes for genomics.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Description: TOPICS IN BIOMETRY ***** No description.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Seminar

Credit Hours: 3

Prerequisite(s): STAT 305

Description: QUANTITATIVE ENVIRONMENTAL DECISION MAKING ***** A project oriented computer intensive course focusing on statistical and mathematical solutions and investigations for the purpose of environmental decisions. This course is required for EADM students. ***** Prerequisite(s): STAT 305. ***** Co-requisite(s): STAT 385 or 410 or permission of instructor. ***** Course offered Spring semester.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Seminar

Credit Hours: 3

Description: SPECIAL TOPICS ***** STAT 620 through 689 are seminars on advanced topics in Statistics.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Seminar

Credit Hours: 1 TO 3

Description: MATHEMATICAL SCIENCES VIGRE SEMINAR ***** This course prepares a student for research in the mathematical sciences on a specific topic. Each section is dedicated to a different topic. Current topics include bioinformatics, biomathematics, computational finance, simulation driven optimization, and data simulation. The topics change each semester. ***** Also offered as CAAM 699 and MATH 699. Repeatable for Credit.

Department: Statistics

Grade Mode: Standard Letter

Course Type: Research

Credit Hours: 1 TO 15

Description: THESIS ***** No description. Repeatable for Credit.