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SPTE 635 - Sport and Entertainment Event Development Credits: 3
Business concepts needed to develop sport and entertainment special events.
Prerequisites: 90 credits or graduate status
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SPTE 640 - Venue Management: Principles and Practices Credits: 3
Managing public assembly facilities and venues.
Prerequisites: SPTE 203 or equivalent; 90 credit hours or graduate status
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SPTE 650 - Integrated Marketing Communication in Sport and Entertainment Credits: 3
Use of integrated marketing communication concepts, theories, and strategies in sport and entertainment.
Prerequisites: MKTG 350
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SPTE 655 - Social Media in Live Entertainment and Sport Credits: 3
In-depth investigation of social networks, digital platforms, and online marketing for the live entertainment and sport industries.
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SPTE 701 - Management in the Sport and Entertainment Industry Credits: 3
Management principles in the sport and entertainment industry.
Prerequisites: department permission
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SPTE 730 - Advanced Sport and the Law Credits: 3
Advanced knowledge of the legal issues that frequently arise in the context of sport will be covered. The focus of the course is law as it applies to sport as well as how the law affects participants, spectators, sport organizations, and facility managers, among others.
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SPTE 736 - Sport and Entertainment Event Entrepreneurship Credits: 3
Process of new venture creation with respect to sport and entertainment events.
Prerequisites: department permission
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SPTE 746 - Risk and Security Management in Public Assembly Facilities Credits: 3
The risks and security issues associated with managing public assembly facilities.
Prerequisites: department permission
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SPTE 750 - Strategic Planning and Policy Development in Sport and Entertainment Management Credits: 3
Policy development and implementation in the sport and entertainment industry.
Prerequisites: department permission
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SPTE 760 - Principles of Sport and Entertainment Marketing Credits: 3
This course is designed to provide a foundation in the principles of sport and entertainment marketing.
Prerequisites: Undergraduate marketing class or equivalent
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SPTE 770 - Public Assembly Facility Management Programming and Sales Credits: 3
Concepts, knowledge, and sales skills involved in programming public assembly facilities.
Prerequisites: department permission
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SPTE 775 - Event Programming and Production Credits: 3
Examines the critical functions of booking and scheduling a public assembly facility and the production of events in such a venue.
Prerequisites: SPTE 640
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SPTE 780 - Public Assembly Facility Operations and Procedures Credits: 3
Concepts, knowledge, and operational procedures associated with managing public assembly facilities.
Prerequisites: department permission
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SPTE 781 - Seminar on the Olympic Games Credits: 3
Examination of the Olympic Games, a mega sport and tourism event and its impact on the sport, entertainment, hospitality and tourism sectors.
Cross-listed Course: HRTM 781
Prerequisites: Graduate standing or consent of instructor.
Note: Special Permissions: Department and Instructor
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SPTE 790 - Sport and Entertainment Finance Credits: 3
This course examines financial information necessary to perform the usual duties and responsibilities associated with sport facilities, programs and organizations.
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SPTE 798 - Directed Study in Sport and Entertainment Management Credits: 3
Independent study for advanced students under faculty supervision. May be taken twice for degree credit.
Prerequisites: Department Permission
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SPTE 799 - Thesis Preparation Credits: 1-6
Thesis preparation in sport and entertainment management.
Prerequisites: Department permission
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SPTE 801 - Seminar in Sport and Entertainment Management Credits: 3
Acquaints sport management PhD students with advanced principles and applications of the sport and entertainment management discipline. This course will expose the doctoral student to research examining organization, leadership, and strategic management in the sport and entertainment industry and appropriate sub-industries.
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SPTE 810 - Seminar in Sport and Entertainment Education Credits: 3
Provides Sport and Entertainment Management graduate students with insights that foster professional growth and development as a college instructor. This course examines the scholarship of teaching SPTE and developing optimal classroom environments and identification and guided reflective analysis of critical issues in SPTE education.
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SPTE 830 - Seminar in Sport and Entertainment Law & Risk Management Credits: 3
Acquaints students with advanced theory and application of law and risk management in sport and entertainment management through the review of scholarship about professional and amateur sport, laws impacting the entertainment industry, and risk management issues within sport and entertainment facilities.
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SPTE 860 - Seminar in Sport and Entertainment Marketing Credits: 3
Acquaints sport management PhD students with advanced principles and application of the sport and entertainment marketing discipline. The course will take an in-depth look at how amateur/professional sport, and emerging sport business enterprises and trends affect the practice of sport and entertainment marketing. This course is designed for students to study sport and entertainment marketing theories and practical applications and principles by specifically learning about marketing information systems, pricing strategies, media relations, promotional methods and endorsements.
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SPTE 890 - Seminar in SPTE Finance Credits: 3
This course covers advanced principles and applications of sport and entertainment finance. The course takes an in-depth look at the theory, concepts, and frameworks of sport and entertainment finance research. The focus will be on the optimum financial policies and decisions of nonfinancial firms in the sport and entertainment industry.
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SPTE 899 - Dissertation Preparation Credits: 1-12
Assists students through the proposal and dissertation writing process.
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STAT 506 - Introduction to Experimental Design Credits: 3
Techniques of experimentation based on statistical principles with application to quality improvement and other fields. Full and fractional factorial designs for factors at two levels; dispersion effects; related topics.
Prerequisites: A grade of C or higher in MATH 122 or MATH 141; or both MATH 111 or higher and any statistical class
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STAT 509 - Statistics for Engineers Credits: 3
Basic probability and statistics with applications and examples in engineering. Elementary probability, random variables and their distribution, random processes, statistical inference, linear regression, correlation and basic design of experiments with application to quality assurance, reliability, and life testing.
Prerequisites: MATH 142 or equivalent
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STAT 510 - Applied Stochastic Processes Credits: 3
An introduction to stochastic processes, including conditional probability, Markov chains, Poisson processes, and Brownian motion. Incorporates simulation and applications to actuarial science.
Prerequisites: STAT 511 with a grade of C or higher
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STAT 511 - Probability Credits: 3
Probability and independence; discrete and continuous random variables; joint, marginal, and conditional densities; moment generating functions; laws of large numbers; binomial, Poisson, gamma, univariate and bivariate normal distributions.
Cross-listed Course: MATH 511
Prerequisites: C or higher or concurrent enrollment in MATH 241 or consent of the Undergraduate Director
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STAT 512 - Mathematical Statistics Credits: 3
Functions of random variables, order statistics, sampling distributions, central limit theorem, quality of estimators, interval estimation, sufficient statistics, minimum-variance unbiased estimator, maximum likelihood, large-sample theory, introduction to hypothesis testing.
Prerequisites: STAT 511 or MATH 511 with a grade of C or higher
Note: Effective: Fall 2012
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STAT 513 - Theory of Statistical Inference Credits: 3
Hypothesis testing, Neyman-Pearson lemma, likelihood ration tests, power, theory of linear models including multiple linear regression and ANOVA, Bayesian inferences, advanced topics including survival analysis.
Prerequisites: STAT 512 with a grade of C or higher
Note: Effective: Fall 2012
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STAT 515 - Statistical Methods I Credits: 3
Applications and principles of elementary probability, essential discrete and continuous probability distributions, sampling distributions, estimation, and hypothesis testing. Inference for means, variances, proportions, one-way ANOVA, simple linear regression, and contingency tables. Statistical packages such as SAS or R.
Prerequisites: A grade of C or higher in MATH 122 or MATH 141; or both MATH 111 or higher and any statistics class
Note: May not be taken concurrently with or after STAT 509, STAT 513, or STAT 516. Not for C.A.S., M.A.S., M.S, or PhD. credit in Statistics.
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STAT 516 - Statistical Methods II Credits: 3
Applications and principles of linear models. Simple and multiple linear regression, analysis of variance for basic designs, multiple comparisons, random effects, and analysis of covariance. Statistical packages such as SAS.
Prerequisites: A grade of C or higher in STAT 515, STAT 509, STAT 512, or equivalent.
Note: Not for C.A.S., M.A.S., M.S, or PhD. credit in Statistics.
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STAT 517 - Advanced Statistical Models Credits: 3
Theory and applications of advanced statistical models. Includes implementation and assessment of generalized linear, nonlinear and nonparametric regression, mixed effect, repeated measures, multivariate regression, and spatial models.
Prerequisites: A grade of C or higher in both STAT 511 and either STAT 516 or ECON 436, or equivalent.
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STAT 518 - Nonparametric Statistical Methods Credits: 3
Applications and principles of nonparametric statistics. Classical rank-based methods and selected categorical data analysis and modern nonparametric methods. Statistical packages such as R.
Prerequisites: A grade of C or higher in STAT 515, STAT 509, STAT 512, or equivalent.
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STAT 519 - Sampling Credits: 3
Techniques of statistical sampling in finite populations with applications in the analysis of sample survey data. Topics include simple random sampling for means and proportions, stratified sampling, cluster sampling, ratio estimates, and two-stage sampling.
Prerequisites: A grade of C or higher in STAT 515, STAT 509, STAT 512, or Equivalent.
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STAT 520 - Forecasting and Time Series Credits: 3
Time series analysis and forecasting using the multiple regression and Box-Jenkins approaches.
Cross-listed Course: MGSC 520
Prerequisites: STAT 516 or MGSC 391
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STAT 522 - Financial Mathematics I Credits: 3
Probability spaces. Random variables. Mean and variance. Geometric Brownian Motion and stock price dynamics. Interest rates and present value analysis. Pricing via arbitrage arguments. Options pricing and the Black-Scholes formula.
Cross-listed Course: MATH 514
Prerequisites: C or better in MATH 241 or consent of the Undergraduate Director
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STAT 523 - Financial Mathematics II Credits: 3
Convex sets. Separating Hyperplane Theorem. Fundamental Theorem of Asset Pricing. Risk and expected return. Minimum variance portfolios. Capital Asset Pricing Model. Martingales and options pricing. Optimization models and dynamic programming.
Cross-listed Course: MATH 515
Prerequisites: C or better in MATH 514 or STAT 522 or consent of the Undergraduate Director
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STAT 525 - Statistical Quality Control Credits: 3
Statistical procedures for process control including CUSUM and Shewhart Control Charts, and lot-acceptance sampling.
Cross-listed Course: MGSC 525
Prerequisites: STAT 509 or STAT 515 or MGSC 391
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STAT 528 - Environmental Statistics Credits: 3
Statistical analysis of environmental data. Review of multiple regression and ANOVA, nonlinear regression models and generalized linear models, analyses for temporally and spatially correlated data, and methods of environmental sampling.
Prerequisites: STAT 516
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STAT 530 - Applied Multivariate Statistics and Data Mining Credits: 3
Introduction to fundamentals of multivariate statistics and data mining. Principal components and factor analysis; multidimensional scaling and cluster analysis; MANOVA and discriminant analysis; decision trees; and support vector machines. Use of appropriate software.
Prerequisites: A grade of C or higher in STAT 515, STAT 205, STAT 509, STAT 512, ECON 436, MGSC 391, PSYC 228, or equivalent.
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STAT 535 - Introduction to Bayesian Data Analysis Credits: 3
Principles of Bayesian statistics, including: one- and multi-sample analyses; Bayesian linear models; Monte Carlo approaches; prior elicitation; hypothesis testing and model selection; hierarchical models; selected advanced models; statistical packages such as WinBUGS and R.
Prerequisites: A grade of C or higher in STAT 512; or CSCE 582 [=STAT 582]; or both STAT 511 and either STAT 509 or STAT 515; or equivalent.
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STAT 540 - Computing in Statistics Credits: 3
An introduction to statistical packages such as R and SAS with special focus on data management and computing procedures such as Monte Carlo simulation.
Prerequisites: A grade of C or higher in STAT 515, STAT 509, STAT 512, or equivalent.
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STAT 541 - Advanced SAS Programming Credits: 3
Advanced programming techniques in SAS, including database management, macro language, and efficient programming practices.
Prerequisites: STAT 540
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STAT 582 - Bayesian Networks and Decision Graphs Credits: 3
Normative approaches to uncertainty in artificial intelligence. Probabilistic and causal modeling with Bayesian networks and influence diagrams. Applications in decision analysis and support. Algorithms for probability update in graphical models.
Cross-listed Course: CSCE 582
Prerequisites: CSCE 350 and STAT 509
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STAT 587 - Big Data Analytics Credits: 3
Foundational techniques and tools required for data science and big data analytics. Concepts, principles, and techniques applicable to any technology and industry for establishing a baseline that can be enhanced by future study.
Cross-listed Course: CSCE 587
Prerequisites: STAT 509, 513, or 515
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STAT 591 - Data Analysis for Teachers Credits: 3
Introduction to statistics for elementary, middle, and high school teachers. The fundamentals of data collection, descriptive statistics, probability, and inference with special focus on methods of teaching statistical reasoning. For M.A.T. (excluding mathematics) / M.Ed. / M.T. and nondegree credit only.
Cross-listed Course: SMED 591
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STAT 599 - Topics in Statistics Credits: 1-3
Course content varies and will be announced in the schedule of courses by suffix and title.
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STAT 600 - Statistics for Applied Management Credits: 3
Introduction to data collection, descriptive statistics, and statistical inference with examples from hospitality, retail, sport, and entertainment management. Focus on selecting, implementing, and interpreting the appropriate statistical methods using software such as Excel and SPSS.
Note: Note: Not for minor or degree credit in Mathematics or Statistics. Does not serve as a prerequisite for STAT 516, 518, 519 or 525.
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STAT 650 - AP Statistics for Teachers Credits: 3
A thorough study of the topics covered on the AP Statistics Examination. A non-calculus-based introduction, including descriptive and inferential one- and two-variable statistics, and emphasizing activities illustrating statistical thinking.
Prerequisites: current secondary high school teacher certification in mathematics
Note: For I.M.A./M.A.T. (excluding mathematics)/M.Ed./M.T. and nondegree credit only. Restricted to graduate students.
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STAT 700 - Applied Statistics I Credits: 3
Introduction to probability and the concepts of estimation and hypothesis testing for use in experimental, social, and professional sciences. One and two-sample analyses, nonparametric tests, contingency tables, sample surveys, simple linear regression, various statistical packages. Not to be used for M.S. or Ph.D. credit in statistics or mathematics.
Note: Not to be used for M.S. or Ph.D. credit in statistics or mathematics.
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STAT 701 - Applied Statistics II Credits: 3
Continuation of STAT 700. Simple linear regression, correlation, multiple regression, fixed and random effects analysis of variance, analysis of covariance, experimental designs, some multivariate methods, various statistical packages.
Prerequisites: STAT 700 or the equivalent
Note: Not to be used for M.S. or Ph.D. credit in statistics or mathematics
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STAT 702 - Introduction to Statistical Theory I Credits: 3
Fundamental theory of statistics and how it applies to industrial problems. Topics include probability, random variables and vectors and their distributions, sampling theory, point and interval estimators, and application to the theory of reliability, regression, process control and quality issues. Not to be used for M.S. or Ph.D. credit in statistics.
Prerequisites: MATH 142
Note: Not to be used for M.S. or Ph.D. credit in statistics.
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STAT 703 - Introduction to Statistical Theory II Credits: 3
Continuation of STAT 702. Topics include discussion of theoretical properties of point estimators and tests of hypotheses, elements of statistical tests, the Neyman-Pearson Lemma, UMP tests, likelihood ratio and other types of tests, and Bayes procedures in the decision process. Not to be used for M.S. or Ph.D. credit in statistics.
Prerequisites: STAT 702
Note: Not to be used for M.S. or Ph.D. credit in statistics.
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STAT 704 - Data Analysis I Credits: 3
Primarily for graduate students in statistics and the mathematical sciences. Probability concepts, inferences for normal parameters, regression, correlation, use of computer statistical packages.
Corequisite: Prereq or coreq: STAT 712
Prerequisites: Prereq or coreq: STAT 712
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STAT 705 - Data Analysis II Credits: 3
Continuation of STAT 704. Analysis of variance (fixed and random effects), analysis of covariance, experimental design, model building, other applied topics, and use of computer statistical packages.
Prerequisites: STAT 704 and 712
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STAT 706 - Experimental Design Credits: 3
Specialized experimental design: 2n and 3n factorials; fractional replication; confounding; incomplete block designs, including split-plot, split-block, and Latin square designs; general principles of design.
Prerequisites: STAT 701 or STAT 705
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STAT 708 - Environmetrics Credits: 3
Statistical methods for environmental and ecological sciences, including nonlinear regression, generalized linear models, spatial analyses/kriging, temporal analyses, meta-analysis, quantitative risk assessment.
Cross-listed Course: BIOS 808
Prerequisites: STAT 701 or 705 or BIOS 757
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STAT 709 - Environmetrics II Credits: 3
Theoretical underpinnings of environmetrics. Spatial statistics, temporal and longitudinal analysis, hierarchical modeling, and Bayesian inferences for environmental data.
Cross-listed Course: BIOS 809
Prerequisites: STAT 708 or BIOS 808; STAT 714
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STAT 712 - Mathematical Statistics I Credits: 3
Sample spaces, probability and conditional probability, independence, random variables, expectation, distribution theory, sampling distributions, laws of large numbers and asymptotic theory, order statistics, and estimation.
Prerequisites: advanced calculus or consent of instructor
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STAT 713 - Mathematical Statistics II Credits: 3
Further development of estimation theory and tests of hypotheses, including an introduction to Bayes estimation, sufficiency, minimum variance principles, uniformly most powerful and likelihood ratio tests, and sequential probability ratio tests.
Prerequisites: STAT 712
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STAT 714 - Linear Statistical Models Credits: 3
A study of the general linear statistical model and the linear hypothesis. Topics include the multivariate normal distribution, distributions of quadratic forms, and parameter estimation and hypothesis testing for full-rank models, regression models, and less than full-rank models.
Prerequisites: STAT 513 and MATH 544 or STAT 712 or equivalent
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STAT 715 - Nonlinear Statistical Models Credits: 3
Inference for general nonlinear parametric statistical models for univariate and multivariate response; linear and quadratic estimating equations; models for covariance structure; effects of model misspecification and robustness.
Prerequisites: STAT 713, STAT 714
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STAT 716 - Selected Topics in Probability Credits: 1-3
Special topics in probability theory and stochastic processes not offered in other courses.
Prerequisites: consent of instructor
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STAT 718 - Selected Topics in Statistics Credits: 1-3
Special topics in statistics not offered in other courses.
Prerequisites: consent of instructor
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STAT 720 - Time Series Analysis Credits: 3
Stochastic properties, identification, estimation, and forecasting methods for stationary and nonstationary time series models.
Prerequisites: STAT 704 and 512
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STAT 721 - Stochastic Processes Credits: 3
Theory of stochastic processes, including branching processes, discrete and continuous time Markov chains, renewal theory, point processes, and Brownian motion.
Prerequisites: STAT 711 or 712
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STAT 730 - Multivariate Analysis Credits: 3
A survey of the theory and applications of the fundamental techniques for analyzing multivariate data.
Prerequisites: STAT 713
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STAT 740 - Statistical Computing Credits: 3
A survey of current algorithms and software for solving fundamental problems of statistical computing with emphasis on computer generation of random variates.
Prerequisites: STAT 713 and knowledge of a computer programming language.
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STAT 750 - Response Surface Methodology Credits: 3
Methods for fitting (regression) response surfaces and interpreting them subject to random error. Includes designs and industrial process optimization methods.
Prerequisites: STAT 701 or 705 or consent of department
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STAT 761 - Reliability and Life Testing Credits: 3
The various statistical and probability models in reliability and life testing and inference procedures for such models, including life distributions, parametric and nonparametric inference methods, hazard and failure rate functions, plotting methods, analysis of mixtures, censoring.
Prerequisites: STAT 703 or STAT 713
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STAT 770 - Categorical Data Analysis Credits: 3
Advanced methods for analysis of discrete data. Higher-order contingency tables, log-linear and other generalized linear models. Multivariate methods for matched pairs and longitudinal data.
Cross-listed Course: BIOS 805
Prerequisites: STAT 704 and consent of instructor, or BIOS 759
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STAT 771 - Applied Longitudinal Data Analysis Credits: 3
Modern methods for the analysis of repeated measures, correlated outcomes, and longitudinal data, including repeated measures ANOVA, generalized linear models, random effects, and generalized estimating equations.
Cross-listed Course: BIOS 770
Prerequisites: BIOS 757 or STAT 701 or STAT 705
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STAT 772 - Binary Dose Response Theory and Methods Credits: 3
Threshold, mass action, and target theory; empirical dose response functions; methods in current use among health science researchers.
Cross-listed Course: BIOS 850
Prerequisites: STAT 512
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STAT 775 - Generalized Linear Models Credits: 3
Statistical theory and applications extending regression and analysis of variance to non-normal data. Encompasses logistic and other binary regressions, log-linear models, and gamma regression models.
Cross-listed Course: BIOS 815
Prerequisites: STAT 713 or STAT 513, and STAT 705 or BIOS 757
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STAT 777 - Statistical Phylogenetics and Molecular Evolution Credits: 3
Theory and applications of phylogenetics; estimation via Markov models, likelihood, distances and parsimony; hypothesis testing of evolutionary trees and parameters; related topics including molecular divergence time inference.
Cross-listed Course: BIOL 777
Prerequisites: grade of B or better in MATH 241 or STAT 510
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STAT 778 - Item Response Theory Credits: 3
Statistical models for item response theory, Rasch and other models for binary and polytomous data, and applications. Use of statistical software.
Cross-listed Course: EDRM 828
Prerequisites: EDRM 711 or PSYC 710 or STAT 701 or STAT 704
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STAT 790 - Seminar in Statistical Consulting Credits: 1
An exposure to the techniques of statistical consulting through discussion and analysis of actual statistical problems which occur in fields of application.
Prerequisites: STAT 700 or equivalent
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STAT 791 - Practicum in Statistical Consulting Credits: 1
Experiences in actual statistical consulting settings; participation and critiques.
Prerequisites: STAT 790
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STAT 798 - Independent Study Credits: 1-6
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STAT 799 - Thesis Preparation Credits: 1-9
Note: For master’s candidates.
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STAT 810 - Probability Theory I Credits: 3
Probability spaces, random variables and distributions, expectations, characteristic functions, laws of large numbers, and the central limit theorem.
Cross-listed Course: MATH 710
Prerequisites: STAT 511, 512, or MATH 703
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STAT 811 - Probability Theory II Credits: 3
More about distributions, limit theorems, Poisson approximations, conditioning, martingales, and random walks.
Cross-listed Course: STAT 710
Prerequisites: STAT 710
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STAT 822 - Advanced Statistical Inference Credits: 3
The advanced theory of statistical inference, including the general decision problem; Neyman-Pearson theory of testing hypotheses; the monotone likelihood ratio property; unbiasedness, efficiency, and other small sample properties of estimators; asymptotic properties of estimators, especially maximum likelihood estimators; and general sequential procedures.
Prerequisites: STAT 713 or consent of instructor
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STAT 823 - Large Sample Theory Credits: 3
Modes of convergence, limit theorems, and the asymptopic properties of estimators and tests.
Prerequisites: STAT 713
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STAT 824 - Nonparametric Inference Credits: 3
The general theory of nonparametric statistics, including order statistic theory, theory of ranks, U-statistics in nonparametric estimation and testing, linear rank statistics and their application to location and scale problems, goodness-of-fit, and other distribution-free procedures.
Prerequisites: STAT 713 or consent of instructor
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STAT 890 - Doctoral Seminar Credits: 3
Note: For doctoral candidates.
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STAT 898 - Directed Readings and Research Credits: 1-12
Note: Restricted to statistics graduate students. (Pass-fail grading)
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STAT 899 - Dissertation Preparation Credits: 1-12
Note: For doctoral candidates.
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THEA 500 - Selected Topics in Theatre Credits: 1
A series of courses, each lasting one-third of a semester. Topics and prerequisites are announced in the class schedule for each semester.
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THEA 510 - Rendering Techniques for the Theatre Credits: 3
Rendering techniques for the communication of concepts and mood in the design process.
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THEA 520 - Playwright’s Workshop Credits: 3
Principles and practice of playwriting. Writing, adapting, and revising plays. May be repeated with consent of department chair.
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THEA 522 - Drama in Education Credits: 3
Comprehensive review of drama strategies, methods and pedagogical practices to be applied to non-drama learning contexts. Practical experience with the necessary skills, philosophies and techniques of drama in education.
Prerequisites: Sophomore standing or higher
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THEA 526 - Children’s Theatre Credits: 3
Special problems in producing plays for child audiences
Prerequisites: THEA 170 and 253, or consent of instructor
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THEA 529 - Theatre Management Credits: 3
Problems involved in organizing, administering, and promoting the non-professional theatre
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THEA 530 - Period Styles for Wig and Hair Design Credits: 3
Research and execution of period styles for wigs, hair, and facial pieces as related to theatrical and media design.
Prerequisites: THEA 230 and 550 or permission of instructor
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THEA 531 - Theatre Graphics Credits: 3
Specialized graphic techniques used in the preparation of a theatrical production. Practice in the execution and interpretation of working drawings, perspective sketches, color renderings, scale models, etc.
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THEA 540 - Voice and Movement: Practice and Performance Credits: 3
A variety of vocal and movement techniques that apply to acting and coaching with special emphasis on the physical and vocal processes in performance.
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THEA 547 - Global/Contextual Issues in Theatre Education Practice and Performance Credits: 3
Survey and analysis of current drama teacher practice across international contexts in relationship to global, social and educational change.
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THEA 550 - History of Costume Credits: 3
A survey of clothing through the ages with emphasis on the dress of the actor in significant periods of theatrical activity. From ancient times to present day.
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THEA 552 - Stage Costume Pattern Drafting and Drawing Credits: 3
The principles of pattern making for costume construction using flat-pattern and draping techniques.
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