2018-2019 Graduate Catalog 
    
    May 02, 2024  
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2018-2019 Graduate Catalog [Archived Catalog]

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STAT (Statistics)
  

  • STAT 535 - Applied Bioinformatics

    Credits: 3
    This practical course is designed for students with biological background to learn how to analyze and interpret genomics data.  Topics include finding online genomics resources, BLAST searches, manipulating/editing and aligning DNA sequences, analyzing and interpreting DNA microarray data, and other current techniques of bioinformatics analysis. 


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  • STAT 541 - Statistical Methods II

    Credits: 3
    Analysis of variance, various types of regression, and other statistical techniques and distributions. Sections offered in the areas of Biological Science and Social Science. Prerequisites: STAT 281, MATH 381, or STAT 381. Credit not given for both STAT 541 and STAT 581.


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  • STAT 545 - Nonparametric Statistics (COM)

    Credits: 3
    Covers many standard nonparametric methods of analysis. Methods will be compared with one another and with parametric methods where applicable. Attention will be given to: (1) analogies with regression and ANOVA; (2) emphasis on construction of tests tailored to specific problems; and (3) logistic analysis.


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  • STAT 551 - Predictive Analytics I

    Credits: 3
    Introduction to Predictive Analytics.  This course will examine the fundamental methodologies of predictive modeling used in financial and predictive modeling such as credit scoring.  Topics covered will include logistic regression, tree algorithms, customer segmentation, cluster analysis, model evaluation, and credit scoring. Prerequisites: STAT 482 or STAT 686  and STAT 415-515  or STAT 600 .


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  • STAT 553 - Applied Bayesian Statistics

    Credits: 3
    Introduction to the philosophy and practice of Bayesian statistics.  Statistical methods from simple regression models through generalized linear multilevel models are studied from a Bayesian perspective.  Emphasis is placed on building understanding through computational approaches using examples and simulation exercises. Prerequisites: MATH 125, STAT 482, and STAT 514  or STAT 515 .


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  • STAT 560 - Time Series Analysis (COM)

    Credits: 3
    Statistical methods for analyzing data collected sequentially in time where successive observations are dependent. Includes smoothing techniques, decomposition, trends and seasonal variation, forecasting methods, models for time series: stationarity, autocorrelation, linear filters, ARMA processes, nonstationary processes, model building, forecast errors and confidence intervals. Prerequisites: STAT 441 or STAT 482 or STAT 541  or STAT 686 .


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  • STAT 591 - Independent Study

    Credits: 1-3
    Includes directed study, problems, readings, directed readings, special problems and special projects. Students complete individualized plans of study which include significant one-on-one student-teacher involvement. The faculty member and students negotiate the details of the study plans. Enrollments are usually 10 or fewer students. Meetings depending upon the requirements of the topic.


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  • STAT 592 - Topics (COM)

    Credits: 1-3
    Includes current topics, advanced topics and special topics. A course devoted to a particular issue in a specified field. Course content is not wholly included in the regular curriculum. Guest artists or experts may serve as instructors. Enrollments are usually of 10 or fewer students with significant one-on-one student/teacher involvement.


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  • STAT 600 - Statistical Programming

    Credits: 3
    Fundamentals of statistical programming languages including descriptive and visual analytics in R and SAS, and programming fundamentals of SAS and R including logic, loops, macros, and functions. Prerequisites: STAT 410 or STAT 510  or CSC 150.


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  • STAT 601 - Modern Applied Statistics I

    Credits: 3
    This course will build upon STAT 541 and assume students have knowledge of SLR, MLR, ANOVA, and basics of statistical inference. The class will start by covering statistical graphics and the associated modern statistical computing language(s). The next section of the class will focus on non- and semi-parametric methods with a focus on the application and interpretation of the methods. The last section of the class will focus on longitudinal and repeated measure models and conclude with an overview of techniques from meta-analysis and large-scale inference. Prerequisites: STAT 541  and STAT 600 .


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  • STAT 602 - Modern Applied Statistics II

    Credits: 3
    This course will start with an introduction to data mining techniques from multivariate data such as Principal Component Analysis, Multidimensional Scaling, and Cluster Analysis. From there we will move on to an introduction to supervised learning methods and pattern recognition with a focus on algorithmic methods. The course will finish with an overview of statistical prediction analysis relevant to business intelligence and analytics. Prerequisites: STAT 601 .


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  • STAT 651 - Predictive Analytics II

    Credits: 3
    This course will examine advanced methodologies used in financial and predictive modeling.  Topics covered include segmented scorecards, population stability, ensemble models, neural networks, MARS regression, and support vector machines. Prerequisites: STAT 451/STAT 551 .


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  • STAT 661 - Design of Experiments I

    Credits: 3
    Analysis of variance, block designs, fixed and random effects, split plots and other experimental designs. Includes use of SAS proc GLM, Mixed, etc. Prerequisites: STAT 541  or STAT 582 .


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  • STAT 684 - Statistical Inference I

    Credits: 3
    A theoretical study of the foundations of statistics, including probability, random variables, expectations, moment generating functions, sample theory, and limiting distributions. Prerequisites: STAT 381.


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  • STAT 685 - Statistical Inference II

    Credits: 3
    A theoretical study of the foundations of statistics, including most powerful tests, maximum likelihood tests, complete and sufficient statistics, etc. Corequisites: STAT 684 .


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  • STAT 686 - Regression Analysis I

    Credits: 3
    Methodology of regression analysis, including matrix formulation, inferences on parameters, multiple regression, non-linear regression, outlier detection, diagnostics, and multicollinearity. Prerequisites: STAT 381.


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  • STAT 687 - Regression Analysis II

    Credits: 3
    Advanced regression methodology, including nonlinear regression, logistic regression, Poisson regression, and correlation analysis. Prerequisites: STAT 686 .


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  • STAT 691 - Independent Study (COM)

    Credits: 1-3
    Students complete individualized plans of study which include significant one-on-one student-teacher involvement. The faculty member and students negotiate the details of the study plans. Enrollments are usually 10 or fewer students. Meetings depend upon the requirements of the topic.


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  • STAT 715 - Multivariate Analysis I

    Credits: 3
    Multiple, partial, canonical correlation test of hypothesis on means; multivariate analysis of variance; principal components; factor analysis; and discriminant analysis.  Prerequisites: STAT 482 or STAT 582 .


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  • STAT 716 - Asymptotic Statistics

    Credits: 3
    This course will cover modern statistical approximation theorems relating to the current statistical and machine learning literature in Mathematical Statistics.  Specific topics to be covered are: Review of Stochastic Convergence (Almost-Sure representations, Convergence of Moments, Lindeberg-Feller Central Limit Theorem, etc.), Delta Method, Moment Estimators, and M- and Z- Estimators. An additional selection of 2-4 topics will also be covered that are related to the research focus of the PhD students in the class.  Prerequisites: STAT 715 , STAT 684 , and MATH 741 .


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  • STAT 721 - Statistic Computing/Simulation

    Credits: 3
    Computationally intensive statistical methods that would not be feasible without modern computational resources and statistical simulation techniques, including random variable generation methods, Monte Carlo simulation and importance sampling, Kernel smoothing and smoothing splines, bootstrap, jackknife and cross validation, regulation and variable selection in regression, EM algorithm, concepts of Bayesian inference, Markov chain Monte Carlo methods such as Gibbs sampling, and the Metropolis-Hasting algorithm. Prerequisites: STAT 482 or STAT 541  or STAT 601  or STAT 684  or STAT 686 .


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  • STAT 731 - Survival Analysis

    Credits: 3
    Introduction to survival data, censoring and truncation, survival function and hazard function, non-parametric methods for estimating survival curves, comparing two or more survival curves, semi-parametric proportional hazards regressions, model diagnostics, accelerated failure time and other parametric models.  Prerequisites: STAT 541  or STAT 381.


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  • STAT 736 - Bioinformatics

    Credits: 3
    This course is an introduction to bioinformatics for students in mathematics and physical sciences.  This course will include a brief introduction to cellular and molecular biology and will cover topics such as sequence alignment, phylogenetic trees and gene recognition.  Existing computational tools for nucleotide and protein sequence analysis, protein functional analysis and gene expression studies will be discussed and used.


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  • STAT 742 - Spatial Statistics

    Credits: 3
    Geostatistical data analysis with variogram, covariogram and correlogram modeling. Spatial prediction and kriging, spatial models for lattices, spatial patterns. Prerequisites: STAT 541  or STAT 560  or STAT 684  or STAT 686 .


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  • STAT 752 - Advanced Data Science

    Credits: 3
    This course will cover current research in the Mathematical and Statistical Sciences. The focus of the class is to introduce PhD students to the ongoing research programs of the faculty and advanced methodologies outside of the traditional core classes related to the rapidly evolving disciple of Data Science. This class can be taken multiple times for credit. Prerequisites: Instructor permission.


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  • STAT 760 - Quality Control

    Credits: 3
    Application of statistical techniques to the control of quality and the development of economical inspection methods. Collection, analysis, and interpretation of operations data; control charts and sampling procedure. Prerequisites: STAT 281 or STAT 381. Cross-Listed: ME 760 /OM 760 .


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  • STAT 762 - Advanced Experimental Design

    Credits: 3
    Linear Model interpretation in vector spaces and projections, use of generalized inverses, identifiability and estimability of contrasts, normal equations, Gauss-Markov Theorem, MVUE, distribution theory for quadratic forms, complex designs such as crossover, splitplot and repeated measures, asymptotics for general linear models, familiarity with nonparametric regression models. Prerequisites: STAT 685  and STAT 687 .


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  • STAT 779 - Advanced Statistics Synthesis

    Credits: 1
    Synthesis of concepts from advanced statistics courses. Prerequisites: Instructor consent.


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  • STAT 788 - Master’s Research Problems/Projects (COM)

    Credits: 1-2
    Independent research problems/projects that lead to research or design paper, but not to a thesis. The plan of study is negotiated by the faculty member and the candidate. Contact between the two may be extensive and intensive. Does not include research courses which are theoretical.


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  • STAT 791 - Independent Study

    Credits: 1-3
    Includes directed study, problems, readings, directed readings, special problems and special projects. Students complete individualized plans of study which include significant one-on-one student-teacher involvement. The faculty member and students negotiate the details of the study plans. Enrollments are usually 10 or fewer students. Meetings depending upon the requirements of the topic.


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  • STAT 792 - Topics (COM)

    Credits: 1-3
    Includes Current Topics, Advanced Topics, and Special Topics. A course devoted to a particular issue in a specified field. Course content is no wholly included in the regular curriculum. Guest artists or experts may serve as instructors. Enrollments are usually of 10 or fewer students with significant one-on-one student-teacher involvement.


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  • STAT 794 - Internship (COM)

    Credits: 1-3
    Applied, monitored, and supervised field-based learning experience for which the student may or may not be paid. Students gain practical experience; they follow a negotiated and/or directed plan of study. A higher level of supervision is provided by the instructor in these courses than is the case with field experience courses.


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  • STAT 798 - Thesis (COM)

    Credits: 1-7
    A formal treatise presenting the results of study submitted in partial fulfillment of the requirements for the applicable degree. The process requires extensive and intensive one-on-one interaction between the candidate and professor with more limited interaction between and among the candidate and other members of the committee.


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THEA (Theatre)
  

  • THEA 791 - Independent Study (COM)

    Credits: 1-3
    Includes directed study, problems, readings, directed readings, special problems and special projects. Students complete individualized plans of study which include significant one-on-one student-teacher involvement. The faculty member and students negotiate the details of the study plans. Enrollments are usually 10 or fewer students. Meetings depending upon the requirements of the topic.


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VET (Veterinary Science)
  

  • VET 524 - Medical and Veterinary Virology

    Credits: 3
    Basic course discussing the characterization, structure, and replication of viruses and the pathogenesis of viral disease in man and animals. Prerequisites: BIOL 204 or instructor consent. Cross-Listed: MICR 524 .


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  • VET 576 - Advanced Mammalian Physiology

    Credits: 4
    An advanced study of the physiological mechanisms utilized by mammals to regulate body functions with the nervous and endocrine systems, to acquire and use chemical energy from their environment, and to integrate the functions of the organs systems to maintain the health of the animal. Emphasis is placed on applying physiological concepts and principles to solve problems. Notes: Previous courses in anatomy, physiology, and biochemistry are recommended.


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  • VET 591 - Independent Study

    Credits: 1-3
    Includes Directed Study, Problems, Readings, Directed Readings, Special Prolems, and Special Projects. Students complete individualized plans of study which include significant one-on-one student-teacher involvement. The faculty member and students negotiate the details of the study plans. Enrollments are usually 10 or fewer students. Meeting depending upon the requirements of the topic.


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  • VET 792 - Topics (COM)

    Credits: 1-3
    Includes Current Topics, Advanced Topics, and Special Topics. A course devoted to a particular issue in a specified field. Course content is not wholly included in the regular curriculum. Guest artists or experts may serve as instructors. Enrollments are usually of 10 or fewer students with significant one-on-one student-teacher involvement.


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  • VET 793 - Workshop

    Credits: 1-4
    Special, intense sessions in specific topic areas. Approximately 45 hours of work is required for each hour of credit. Workshops may vary in time range but typically use a compressed time period for delivery. They may include lectures, conferences, committee work, and group activity.


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WL (Wildlife and Fisheries Sciences)
  

  • WL 515 - Upland Game Ecology and Management

    Credits: 3
    Upland game birds and mammals as components of ecosystems. Effects of farming; industry; social change; technology; and federal, state, and private programs on game and non-game species. Techniques for individual species management.  Corequisites: WL 515L .


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  • WL 517 - Large Mammal Ecology and Management

    Credits: 3
    Large mammal life histories and distributions. Relationships of nutrition, reproduction, interspecific competition, and predation to management of big game habitat and harvest. Techniques for research and management of large mammals. Corequisites: WL 517L .


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  • WL 518 - Ecology of Aquatic Invertebrates

    Credits: 3
    The identification of and ecological relationships associated with aquatic invertebrates; aquatic ecosystems of the north-central states are emphasized. Corequisites: WL 518L .


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  • WL 519 - Waterfowl Ecology and Management

    Credits: 3
    Analysis of ecological and socio-economic factors affecting waterfowl habitat and waterfowl populations. State and federal programs affecting wetland drainage and preservation. Field inspection of waterfowl habitat in the north-central states. Corequisites: WL 519L .


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  • WL 521 - Grassland Fire Ecology

    Credits: 3
    The course describes the ecological effects of fire on grassland ecosystem components, from soil and vegetation to wildlife and beef cattle. It also provides insight into the history of fires, the people who use them and why, the parts of a fire, how fires behave in relation to fuel and weather, and the conducting and safety of prescribed burns.  Cross-Listed: RANG 521 .


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  • WL 525 - Wildlife Nutrition and Disease

    Credits: 3
    Emphasis is placed on nutrient requirements and acquisition, conditions and characteristics of important diseases, and their management implications. Focal areas include the biochemical, physiological, and ecological bases for studying nutrition and disease; nutrition and disease relationships to wildlife and habitat; protein, energy, vitamin, and mineral requirements and their relationships to diseases; and strategies for satisfying nutritional requirements. Corequisites: WL 525L .


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  • WL 527 - Limnology

    Credits: 4
    Physical, chemical, and biological characteristics of lentic freshwater ecosystems. Analysis of and methods for quantifying processes that function in lentic freshwater ecosystems. Corequisites: WL 527L .


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  • WL 529 - Ecology of Fishes and Habitat

    Credits: 3
    Study of fish as an organism and the interrelations of fish with other organisms and with their habitat. Corequisites: WL 529L .


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  • WL 531 - Advanced Fisheries Management

    Credits: 3
    Advanced management and ecology of public and private water bodies through manipulation of habitat, organisms, and human users. The course will address water body design and construction, limnology, hydrology, channel morphology, water quality, biological production, fish management, troubleshooting, and pond and stream opportunities. Corequisites: WL 531L. Prerequisites: WL 412.


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  • WL 531L - Advanced Fisheries Management Lab

    Credits: 0
    Laboratory to accompany WL 531. Corequisites: WL 531 . Prerequisites: WL 412L.


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  • WL 592 - Topics (COM)

    Credits: 1-3
    Includes current topics, advanced topics and special topics. A course devoted to a particular issue in a specified field. Course content is not wholly included in the regular curriculum. Guest artists or experts may serve as instructors. Enrollments are usually of 10 or fewer students with significant one-on-one student/teacher involvement.


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  • WL 592L - Topics Lab (COM)

    Credits: 0
    A course devoted to a particular issue in a specified field.  Course content is not wholly included in the regular curriculum.  Guest artists or experts may serve as instructors.  Enrollments are usually 10 or fewer students with significant one-on-one student-teacher involvement. Corequisites: WL 592 .


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  • WL 712 - Wetlands Ecology and Management

    Credits: 3
    Botanical, zoological, hydrological, pedological, and biogeochemical components of wetland systems are studied. Course includes the management of wetlands for various functional values, government jurisdiction in wetland regulation, and wetland classification. North American wetland systems are discussed with emphasis on northern glaciated prairie wetlands. Corequisites: WL 712L .


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  • WL 713 - Animal Population Dynamics

    Credits: 3
    Methods of analysis and interpretation of vital statistics of animal populations. Current theories on natural regulation of animal populations. Particular emphasis on vertebrate species of economic and/or recreational importance. Comparison of environmental controls on of various animal groups. Corequisites: WL 713L .


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  • WL 715 - Wildlife Research Design

    Credits: 3
    Use of the scientific method for designing wildlife research and developing proposals. Familiarization with field and laboratory methods. Practical experience with statistical data analysis. Corequisites: WL 715L .


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  • WL 717 - Aquatic Trophic Ecology

    Credits: 3
    Analysis of selected biological processes influencing the organization of aquatic communities. Complex trophic interactions and their effects on the life histories and bioenergetics of aquatic organisms are examined. Corequisites: WL 717L .


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  • WL 720 - Quantitative Fisheries Science

    Credits: 3
    An advanced analytical fisheries course that focuses on quantitative techniques. Emphasis is placed on populations (e.g., recruitment, growth, mortality), and quantitative assessment of communities (e.g., predatory-prey interactions) and ecosystems (e.g., biostressors). Suggested background courses include population dynamics, experimental design, and graduate statistics and/or biometry. Corequisites: WL 720L .


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  • WL 723 - Fisheries Ecology & Management

    Credits: 3
    Principles and techniques of selected practices for reservoir, lake, pond and lotic fisheries management. Corequisites: WL 723L .


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  • WL 724 - Advanced Human Dimensions in Natural Resource Management

    Credits: 3
    This course is designed to provide students aspiring to work in fisheries and wildlife or other natural resource management fields, whether at the federal, state, or local level of government or non-government agency, with a basic level of understanding of the social aspects of management and some practical applied human dimensions skills. Students will explore the human dimensions’ literature and discuss practical applications of findings to current management issues.


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  • WL 791 - Independent Study

    Credits: 1-3
    Includes directed study, problems, readings, directed readings, special problems and special projects. Students complete individualized plans of study which include significant one-on-one student-teacher involvement. The faculty member and students negotiate the details of the study plans. Enrollments are usually 10 or fewer students. Meetings depending upon the requirements of the topic.


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  • WL 792 - Topics (COM)

    Credits: 1-3
    A course devoted to a particular issue in a specified field. Course content is not wholly included in the regular curriculum. Guest artists or experts may serve as instructors. Enrollments are usually limited with significant one-on-one student-teacher involvement.


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  • WL 798 - Thesis

    Credits: 1-7
    A formal treatise presenting the results of study submitted in partial fulfillment of the requirements for the applicable degree. The process requires extensive and intensive one-on-one interaction between the candidate and professor with more limited interaction between and among the candidate and other members of the committee.


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  • WL 898D - Dissertation - PhD (COM)

    Credits: 1-12
    A formal treatise presenting the results of study submitted in partial fulfillment of the requirements for the applicable degree. The process requires extensive and intensive one-on- one interaction between the candidate and professor with more limited interaction between the candidate and other members of the committee.


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WMST (Women’s Studies)
  

  • WMST 519 - Women in Media

    Credits: 3
    This course examines contributions of women to the mass media from colonial era to present. It also studies the portrayal of women by the news media and by advertising, and it studies the roles currently played by women in the media and in supporting areas of advertising and public relations. Cross-Listed: MCOM 519 .


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  • WMST 592 - Topics (COM)

    Credits: 1-3
    Includes Current Topics, Advanced Topics, and Special Topics. A course devoted to a particular issue in a specified field. Course content is not wholly included in the regular curriculum. Guest artists or experts may serve as instructors. Enrollments are usually of ten or fewer students with significant one-on-one student-teacher involvement.


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