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Spanish |
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SPAN 7720 - Contemporary Theater
Contemporary Theater
Credits: 3
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SPAN 7730 - Post-Civil War Fiction
Post-Civil War Fiction
Credits: 3
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SPAN 7740 - Modern Poetry
Modern Poetry
Credits: 3
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SPAN 7800 - Colonial Spanish American Literature
Colonial Spanish American Literature
Credits: 3
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SPAN 7810 - Spanish American Modernismo
Spanish American Modernismo
Credits: 3
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SPAN 7820 - Nineteenth-Century Spanish-American Literature
Nineteenth-Century Spanish-American Literature
Credits: 3
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SPAN 7830 - Spanish-American Poetry
Spanish-American Poetry
Credits: 3
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SPAN 7840 - Spanish-American Fiction
Spanish-American Fiction
Credits: 3
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SPAN 7850 - Themes and Genres: Poetry and Drama
Themes and Genres: Poetry and Drama
Credits: 3
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SPAN 7860 - Regional Literature
Regional Literature
Credits: 3
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SPAN 7870 - Short Story: Twentieth-Century Spanish America
Short Story: Twentieth-Century Spanish America
Credits: 3
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SPAN 7880 - Novel: Twentieth-Century Spanish America
Novel: Twentieth-Century Spanish America
Credits: 3
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SPAN 7890 - Essay: Twentieth-Century Spanish America
Essay: Twentieth-Century Spanish America
Credits: 3
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SPAN 8210 - Practicum in Teaching College Spanish
Required for new teaching assistants in Spanish. Orientation to elementary Spanish instruction and teaching at UVa.
Credits: 3
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SPAN 8500 - Seminars: Middle Ages and Early Renaissance
Seminars: Middle Ages and Early Renaissance
Credits: 3
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SPAN 8505 - Seminars: Middle Ages and Early Renaissance
Seminars: Middle Ages and Early Renaissance
Credits: 3
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SPAN 8510 - Seminars: Golden Age
Seminars: Golden Age
Credits: 3
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SPAN 8515 - Seminars: Golden Age
Seminars: Golden Age
Credits: 3
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SPAN 8520 - Seminars: Enlightenment to Romanticism
Seminars: Enlightenment to Romanticism
Credits: 3
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SPAN 8525 - Seminars: Enlightenment to Romanticism
Seminars: Enlightenment to Romanticism
Credits: 3
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SPAN 8530 - Seminars: Realism and the Generation of 1898
Seminars: Realism and the Generation of 1898
Credits: 3
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SPAN 8535 - Seminars: Realism and the Generation of 1898
Seminars: Realism and the Generation of 1898
Credits: 3
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SPAN 8540 - Seminars: Modern Spanish Literature
Seminars: Modern Spanish Literature
Credits: 3
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SPAN 8545 - Seminars: Modern Spanish Literature
Seminars: Modern Spanish Literature
Credits: 3
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SPAN 8550 - Seminars: Spanish America: Colonial Period to 1900
Seminars: Spanish America: Colonial Period to 1900
Credits: 3
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SPAN 8555 - Seminars: Spanish America: Colonial Period to 1900
Seminars: Spanish America: Colonial Period to 1900
Credits: 3
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SPAN 8560 - Seminars: Spanish America: Modern Period
Seminars: Spanish America: Modern Period
Credits: 3
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SPAN 8565 - Seminars: Spanish America: Modern Period
Seminars: Spanish America: Modern Period
Credits: 3
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SPAN 8995 - Guided Research
Readings and/or research in particular fields under the supervision of an instructor.
Credits: 3
|
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SPAN 8998 - Non-Topical Research, Preparation for Research
For master’s research, taken before a thesis director has been selected.
Credits: 3 to 12
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SPAN 8999 - Non-Topical Research
For master’s thesis, taken under the supervision of a thesis director.
Credits: 3 to 12
|
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SPAN 9995 - Guided Research
Readings and/or research in particular fields under the supervision of an instructor.
Credits: 3
|
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SPAN 9998 - Non-Topical Research, Preparation for Doctoral Research
For doctoral research, taken before a dissertation director has been selected.
Credits: 3 to 12
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SPAN 9999 - Non-Topical Research
For doctoral dissertation, taken under the supervision of a dissertation director.
Credits: 3 to 12
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Special Topics |
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ENSP 5559 - New Course in Special Topics In Literature
This course provides the opportunity to offer a new course in the subject of Special Topics In Literature. For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses.
Credits: 1 to 4
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ENSP 5810 - Film Aesthetics
Studies film as a work of art produced by cinematic skills and valued for what it is in itself. Emphasizes major theoretical works and analyzing individual films. Studies films with reference to the techniques and methods that produce the ‘aesthetic effect’ style, and the problems of authorship arising out of considerations of style and aesthetic unity. For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses.
Credits: 3
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ENSP 5820 - The Culture of London Past and Present
The Culture of London: Past and Present” offers an interdisciplinary approach to metropolitan culture, as an historically embedded object of inquiry. Located in London, it runs for a month each year from early June to early July. Faculty members from the University direct, teach and lead the class; they are complemented by London-based specialists in architecture, art history, religious studies and contemporary politics. For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses.
Credits: 1 to 6
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ENSP 5830 - Literature and the Film
Studies the relationship between the two media, emphasizing the literary origins and backgrounds of film, verbal and visual languages, and the problems of adaptation from novels and short stories to film. Seven to nine novels (or plays) are read and analyzed with regard to film adaptations of these works. Film screenings two to two and one half hours per week outside of class. For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses.
Credits: 3
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ENSP 5910 - Literary Journal Editing
This course introduces students to literary magazine editing, layout, and publication. Students use desktop publishing software to design a magazine or book, and print-on-demand to generate a final project. They also write book reviews, screen manuscripts, and assist in the production of Meridian, a literary journal. The class is restricted to graduate students and upper-level undergraduates. E-mail a poetry or prose manuscript to the instructor. For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses.
Credits: 3
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ENSP 6401 - Modern Novel
The Course will examine central themes and strategies used by most distinguised 20th Century novelists and will consider ways in which those strategies survive today in modern novel and in other forms of writing.
Credits: 1
|
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ENSP 8559 - New Course in Special Topics In Literature
This course provides the opportunity to offer a new course in the subject of Special Topics In Literature. For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses.
Credits: 1 to 4
|
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ENSP 8700 - Special Topics in Pedagogy
Seminar in Pedagogy. Topics may vary from one course offering to the next. For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses.
Credits: 3
|
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ENSP 8800 - Modern Poetry and Visual Art
Investigates what painting, sculpture and architecture have meant to poets of the nineteenth and twentieth centuries, with discussion of their poetry in relation to the aesthetics of the visual arts, art history, and art criticism. Readings from Keats, Rossetti, Gautier, Rilke, Stevens, Prevert, Quasimodo, Williams, Jarrell, Wilbur and others illuminating the experience of works by such artists as Donatello, Botticelli, Brueghel, Michelangelo, Delacroix, Degas, and Picasso. (Cross-listed as ARTH 880.) For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses.
Credits: 3
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ENSP 8820 - The Literary Use of the Bible
Introduces the contents of scripture. Topics include the saving history, the Mosaic Torah, the Biblical offices, the doctrine of the Word of God, and the nature of a canon. For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses.
Credits: 3
|
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-
ENSP 9559 - New Course in Special Topics In Literature
This course provides the opportunity to offer a new course in the subject of Special Topics In Literature. For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses.
Credits: 1 to 4
|
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ENSP 9820 - Special Topics in Criticism
Seminar in criticism. Topics may vary from one course offering to the next. For more details on this class, please visit the department website at http://www.engl.virginia.edu/courses.
Credits: 3
|
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RELS 8960 - Thesis Research
Research on problems leading to a master’s thesis.
Credits: 3
|
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RELS 8995 - Research
Systematic readings in a selected topic under detailed supervision.
Credits: 3 to 9
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RELS 8998 - Non-Topical Research, Preparation for Research
For master’s research, taken before a thesis director has been selected.
Credits: 1 to 12
|
| |
-
RELS 8999 - Non-Topical Research
For master’s thesis, taken under the supervision of a thesis director.
Credits: 1 to 12
|
| |
-
RELS 9998 - Non-Topical Research, Preparation for Doctoral Research
For doctoral research, taken before a dissertation director has been selected.
Credits: 1 to 12
|
| |
-
RELS 9999 - Non-Topical Research
For doctoral dissertation, taken under the supervision of a dissertation director.
Credits: 1 to 12
|
Statistics |
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STAT 5000 - Introduction to Applied Statistics
Introduces estimation and hypothesis testing in applied statistics, especially the medical sciences. Measurement issues, measures of central tendency and dispersion, probability, discrete probability distributions (binomial and Poisson), continuous probability distributions (normal, t, chi-square, and F), and one- and two-sample inference, power and sample size calculations, introduction to non-parametric methods, one-way ANOVA and multiple comparisons. Prerequisite: Instructor permission; corequisite: STAT 598.
Credits: 3
|
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STAT 5010 - Statistical Computing and Graphics
Introduces statistical computing using S-PLUS. Topics include descriptive statistics for continuous and categorical variables, methods for handling missing data, basics of graphical perception, graphical displays, exploratory data analysis, the simultaneous display of multiple variables. Students should be experienced with basic text-editing and file manipulation on either a PC or a UNIX system, and with either a programming language (e.g. BASIC) or a spreadsheet program (e.g. MINITAB or EXCEL). Credit earned in this course cannot be applied toward a graduate degree in statistics. Prerequisite: STAT 110 or 112, and graduate standing or instructor permission. Students who have received credit for STAT 301 may not take STAT 501 for credit.
Credits: 3
|
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STAT 5020 - Mathematical Statistics
A calculus based introduction to the principles of statistical inference. Topics include sampling theory, point estimation, confidence intervals, hypothesis testing. Additional topics such as nonparametric methods or Bayesian statistics. May not be used for graduate degrees in Statistics. May not be taken if credit has been received for STAT 3120. Prerequisites: MATH 3100 or 5100 or consent of instructor.
Credits: 3
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STAT 5120 - Applied Linear Models
Linear regression models, inferences in regression analysis, model validation, selection of independent variables, multicollinearity, influential observations, autocorrelation in time series data, polynomial regression, and nonlinear regression. Prerequisite: MATH 312 or 510, or instructor permission; corequisite: STAT 598.
Credits: 3
|
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STAT 5130 - Applied Multivariate Statistics
Topics include matrix algebra, random sampling, multivariate normal distributions, multivariate regression, MANOVA, principal components, factor analysis, discriminant analysis. Statistical software, such as SAS or S-PLUS, will be utilized. Prerequisite: MATH 351 and 312 or 510, or instructor permission; corequisite: STAT 598.
Credits: 3
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STAT 5140 - Survival Analysis and Reliability Theory
Topics include lifetime distributions, hazard functions, competing-risks, proportional hazards, censored data, accelerated-life models, Kaplan-Meier estimator, stochastic models, renewal processes, and Bayesian methods for lifetime and reliability data analysis. Prerequisite: MATH 312 or 510, or instructor permission; corequisite: STAT 598.
Credits: 3
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STAT 5150 - Actuarial Statistics
Covers the main topics required by students preparing for the examinations in Actuarial Statistics, set by the American Society of Actuaries. Topics include life tables, life insurance and annuities, survival distributions, net premiums and premium reserves, multiple life functions and decrement models, valuation of pension plans, insurance models, and benefits and dividends. Prerequisite: MATH 312 or 510, or instructor permission.
Credits: 3
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STAT 5160 - Experimental Design
Introduction to the basic concepts in experimental design, analysis of variance, multiple comparison tests, completely randomized design, general linear model approach to ANOVA, randomized block designs, Latin square and related designs, completely randomized factorial design with two or more treatments, hierarchical designs, split-plot and confounded factorial designs, and analysis of covariance. Prerequisite: MATH 312 or 510, or instructor permission; corequisite: STAT 598.
Credits: 3
|
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STAT 5170 - Applied Time Series
Studies the basic time series models in both the time domain (ARMA models) and the frequency domain (spectral models), emphasizing application to real data sets. Prerequisite: MATH 312 or 510, or instructor permission; corequisite: STAT 598.
Credits: 3
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STAT 5180 - Design and Analysis of Sample Surveys
Discussion of the main designs and estimation techniques used in sample surveys: simple random sampling, stratification, cluster sampling, double sampling, post-stratification, ratio estimation. Non-response problems and measurement errors will also be discussed. Many properties of sample surveys will be developed through simulation procedures. The SUDAAN software package for analyzing sample surveys will be used. This course may be used for graduate degrees in the Department of Statistics. Students who have received credit for STAT 313 may not take STAT 520 for credit; this course may not be used for graduate degrees in the Department of Statistics. Prerequisite: STAT 112 or MATH 312, and graduate standing or instructor permission.
Credits: 3
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STAT 5190 - Introduction to Mathematical Statistics
Studies statistical distribution theory, moments, transformations of random variables, point estimation, hypothesis testing, and confidence regions. Prerequisite: MATH 312 or 510, or instructor permission.
Credits: 3
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STAT 5310 - Clinical Trials Methodology
Studies experimental designs for randomized clinical trials, sources of bias in clinical studies, informed consent, logistics, and interim monitoring procedures (group sequential and Bayesian methods). Prerequisite: A basic statistics course (MATH 312/510) or instructor permission.
Credits: 3
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STAT 5320 - Statistical Computing
Studies linear algebra and related numerical algorithms important to statistics, including linear least-squares, eigenvalues and eigenvectors, QR decomposition, singular value decomposition, and generalized matrix inverses. (SI)
Credits: 3
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STAT 5330 - Data Mining
This course introduces a plethora of methods in data mining through the statistical point of view. Topics include linear regression and classification, nonparametric smoothing, decision tree, support vector machine, cluster analysis and principal components analysis. Basic knowledge of R is required. Prerequisites: Concurrent enrollment in STAT 5120 or consent of instructor.
Credits: 3
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STAT 5430 - Statistical Computing with SAS
The course covers database management, programming, elementary statistical analysis, and report generation in SAS. Topics include: managing SAS Data Sets; DATA-step programming; data summarization and reporting using PROCs PRINT, MEANS, FREQ, UNIVARIATE, CORR, and REG; elementary graphics; introductions to the Output Delivery System, the SAS Macro language, PROC IML, and PROC SQL. Prerequisites: Introductory statistics course.
Credits: 3
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STAT 5440 - Introduction to Bayesian Methods
This introductory, graduate level course will provide an introduction Bayesian methods with emphasis on modeling and applications. The topics to be covered include methods for forming prior distributions such as conjugate and noninformative priors, derivation of posterior and predictive distributions and their moments, and development of Bayesian models including linear regression, generalized linear models and hierarchical models. Prerequisites: At least one semester of mathematical statistics (STAT 3120 or 5190) and one course in linear models (STAT 5120 or equivalent), or instructor permission.
Credits: 3
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STAT 5559 - New Course in Statistics
This course provides the opportunity to offer a new topic in the subject area of statistics.
Credits: 1 to 4
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STAT 5980 - Applied Statistics Laboratory
This course, the laboratory component of the department’s applied statistics program, deals with the use of computer packages in data analysis. Enrollment in STAT 598 is required for all students in the department’s 500-level applied statistics courses (STAT 501, 512, 513, 514, 516, 517, 520). STAT 598 may be repeated for credit provided that a student is enrolled in at least one of these 500-level applied courses; however, no more than one unit of STAT 598 may be taken in any semester. Corequisite: 500-level STAT applied statistics course.
Credits: 1
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STAT 5999 - Topics in Statistics
Studies topics in statistics that are not part of the regular course offerings. Prerequisite: Instructor permission.
Credits: 3
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STAT 6120 - Linear Models
Linear regression models, inferences in regression analysis, model validation, selection of independent variables, multicollinearity, influential observations, autocorrelation in time series data, polynomial regression, and nonlinear regression. Prerequisite: MATH 351, enrollment in Graduate Program in Statistics or instructor permission; corequisite: STAT 598.
Credits: 3
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STAT 7110 - Foundations of Statistics
Introduction to the concepts of statistics via the establishment of fundamental principles which are then applied to practical problems. Such statistical principles as those of sufficiency, ancillarity, conditionality, and likelihood will be discussed. Prerequisite: STAT 519 or instructor permission.
Credits: 3
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STAT 7120 - Statistical Inference
A rigorous mathematical development of the principles of statistics. Covers point and interval estimation, hypothesis testing, asymtotic theory, Bayesian statistics, and decision theory from a unified perspective. Prerequisite: STAT 711 or instructor permission.
Credits: 3
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STAT 7130 - Generalized Linear Models
Includes the origins of generalized linear models, classical linear models, probit analysis, logit models for proportions, log-linear models for counts, inverse polynomial models, binary data, polytomous data, quasi-likelihood models, and models for survival data. Prerequisite: STAT 512 and 519, or instructor permission.
Credits: 3
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STAT 7140 - Multivariate Statistical Analysis
Includes multivariate normal distributions, maximum likelihood inference, invariance theory, sample correlation coefficients, Hotelling’s T2 statistic, Wishart distributions, discriminant analysis, and MANOVA. Prerequisite: STAT 513 and 519, or instructor permission.
Credits: 3
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STAT 7150 - Non-Parametric Statistical Analysis
Includes order statistics, distribution-free statistics, U-statistics, rank tests and estimates, asymtotic efficiency, Bahadur efficiency, M-estimates, one- and two-way layouts, multivariate location models, rank correlation, and linear models. Prerequisite: STAT 519 and one of STAT 512, 513, 514, 516, 517; or instructor permission.
Credits: 3
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STAT 7180 - Sample Surveys
An introduction to the design and analysis of sample surveys. Topics include simple random sampling, stratified sampling, multistage (cluster) sampling, double sampling, ratio and regression estimates. Theoretical discussions are supplemented by computer simulated surveys, and studies of the documentation of ongoing government sample surveys. Prerequisite: MATH 312 or 510, or instructor permission.
Credits: 3
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STAT 7190 - Statistical Computing
Studies computational methods for multiple linear regression, unconstrained optimization and non-linear regression, model-fitting based on Lp norms, and robust estimation. Prerequisite: STAT 512 and 518, or instructor permission.
Credits: 3
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STAT 7200 - Advanced Probability Theory for Applied Scientists
The course will emphasize those techniques which are important for the applied statistician: various forms of convergence for random variables, central limit theorems, asymptotics for a transformation of a sequence of random variables, and an introduction to martingales. Prerequisite: MATH 531 or instructor permission.
Credits: 3
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STAT 7210 - Advanced Linear Models
Review of matrix theory (various types of generalized inverses and their properties). Theory and analysis of fixed effects linear models. Estimation of variance components in random and mixed effects linear models. Various methods of estimation of variance components such as: Henderson’s three methods, MLE, RMLE, MINQUE (and its modifications). Theory and analysis of random and mixed effects models. Prerequisite: MATH 351, STAT 512, 513, 519, or instructor permission.
Credits: 3
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STAT 7220 - Martingale Theory and its Applications
Martingales, martingale central limit theorem with applications such as counting process survival analysis, time series, and financial models. (E)
Credits: 3
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STAT 7310 - Advanced Data Analysis
Includes modern computer-intensive methods of data analysis, including splines and other methods of nonparametric regression, bootstrap, techniques for handling missing values and data reduction, nonlinear regression, graphical techniques, and penalized maximum likelihood estimation. Prerequisite: STAT 512 and 513, or instructor permission.
Credits: 3
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STAT 7995 - Statistical Consulting
Introduces the practice of statistical consultation. A combination of formal lectures, meetings with clients of the statistical consulting service, and sessions in the statistical computing laboratory. Prerequisite: Current registration in the statistics graduate program, or instructor permission.
Credits: 1 to 3
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STAT 8120 - Topics in Statistics
Study of topics in statistics that are currently the subject of active research.
Credits: 3
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STAT 8170 - Advanced Time Series
Introduces stationary stochastic processes, related limit theorems, and spectral representations. Includes an asymtotic theory for estimation in both the time and frequency domains. Prerequisite: MATH 736, STAT 517, or instructor permission.
Credits: 3
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STAT 8320 - Topics in Biostatistics
Study of topics in biostatistics that are currently the subject of active research.
Credits: 3
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STAT 9120 - Statistics Seminar
Advanced graduate seminar in current research topics. Offerings in each semester are determined by student and faculty research interests.
Credits: 3
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STAT 9993 - Directed Reading
Research into current statistical problems under faculty supervision.
Credits: 3 to 9
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STAT 9995 - Statistical Consulting
Introduces the practice of statistical consultation. A combination of formal lectures, meetings with clients of the statistical consulting service, and sessions in the statistical computing laboratory. Prerequisite: Current registration in the statistics graduate program, or instructor permission.
Credits: 1 to 3
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STAT 9998 - Non-Topical Research, Preparation for Doctoral Research
For doctoral research, taken before a dissertation director has been selected.
Credits: 3 to 12
|
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STAT 9999 - Non-Topical Research
For doctoral research, taken under the supervision of a dissertation director.
Credits: 3 to 12
|
Systems and Information Engineering |
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SYS 5044 - Economics of Engineering
This course is an introduction to the theory of the industrial organization (from a game-theoretic perspective) and its applications to industries with strong engineering content (electricity, telecommunications, software and hardware, etc.). Topics include: congestion pricing in networks, pricing and efficiency in electricity markets, planned obsolescence in software development, “networks” effects and the dynamics of technology adoption. Prerequisite: ECON 201, APMA 310 or 311.
Credits: 3
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SYS 6001 - Introduction to Systems Engineering
An integrated introduction to systems methodology, design, and management. An overview of systems engineering as a professional and intellectual discipline, and its relation to other disciplines, such as operations research, management science, and economics. An introduction to selected techniques in systems and decision sciences, including mathematical modeling, decision analysis, risk analysis, and simulation modeling. Elements of systems management, including decision styles, human information processing, organizational decision processes, and information system design for planning and decision support. Emphasizes relating theory to practice via written analyses and oral presentations of individual and group case studies. Prerequisite: Admission to the graduate program.
Credits: 3
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SYS 6002 - Systems Integration
Provides an introduction to the problems encountered when integrating large systems, and also presents a selection of specific technologies and methodologies used to address these problems. Includes actual case-studies to demonstrate systems integration problems and solutions. A term project is used to provide students with the opportunity to apply techniques for dealing with systems integration. Prerequisite: SYS 601 or instructor permission.
Credits: 3
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SYS 6003 - Mathematical Programming
This course is an introduction to theory and application of mathematical optimization. The goal of this course is to endow the student with a) a solid understanding of the subject’s theoretical foundation and b) the ability to apply mathematical programming techniques in the context of diverse engineering problems. Topics to be covered include a review of convex analysis (separation and support of sets, application to linear programming), convex programming (characterization of optimality, generalizations), Karush-Kuhn-Tucker conditions, constraint qualification and Lagrangian duality. The course closes with a brief introduction to dynamic optimization in discrete time. Prerequisite: Two years of college mathematics, including linear algebra, and the ability to write computer programs.
Credits: 3
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SYS 6005 - Stochastic Systems
Covers basic stochastic processes with emphasis on model building and probabilistic reasoning. The approach is non-measure theoretic but otherwise rigorous. Topics include a review of elementary probability theory with particular attention to conditional expectations; Markov chains; optimal stopping; renewal theory and the Poisson process; martingales. Applications are considered in reliability theory, inventory theory, and queuing systems. Prerequisite: APMA 310, 312, or equivalent background in applied probability and statistics.
Credits: 3
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SYS 6009 - The Art and Science of Systems Modeling
Focuses on learning and practicing the art and science of systems modeling through diverse case studies. Topics span the modeling of discrete and continuous, static and dynamic, linear and non-linear, and deterministic and probabilistic systems. Two major dimensions of systems modeling are discussed and their efficacy is demonstrated: the building blocks of mathematical models and the centrality of the state variables in systems modeling, including: state variables, decision variables, random variables, exogenous variables, inputs and outputs, objective functions, and constraints; and effective tools in systems modeling, including multiobjective models, influence diagrams, event trees, systems identification and parameter estimation, hierarchical holographic modeling, and dynamic programming.
Credits: 3
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SYS 6012 - Dynamic Systems
Introduces modeling, analysis, and control of dynamic systems, using ordinary differential and difference equations. Emphasizes the properties of mathematical representations of systems, the methods used to analyze mathematical models, and the translation of concrete situations into appropriate mathematical forms. Primary coverage includes ordinary linear differential and difference equation models, transform methods and concepts from classical control theory, state-variable methods and concepts from modern control theory, and continuous system simulation. Applications are drawn from social, economic, managerial, and physical systems. Cross-listed as MAE 652. Prerequisite: APMA 213 or equivalent.
Credits: 3
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SYS 6013 - Applied Multivariate Statistics
The theory and applications of primary methods for multivariate data analysis, such as MANOVA, principal components, factor analysis, canonical correlation, and discriminant analysis, are covered in this course. Students are expected to be familiar with at least one statistical software package and with concepts of linear algebra. It is cross-listed as STAT 513. Prerequisites: SYS 618, SYS 421/621, or STAT 512 (or their equivalents); courses in linear algebra and univariate statistics; or instructor permission.
Credits: 3
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