May 13, 2024  
2014-2015 University Catalog 
    
Catalog Navigation
  Catalog Home
  General Information
  Academic Calendar
  Admissions
  Courses
  Disability Resources
  Undergraduate University Core
  University Regulations
  Undergraduate
  College of Agriculture
  College of Education
  College of Engineering
  College of Health and Human Sciences
  College of Liberal Arts
  School of Management
  College of Pharmacy
  College of Science
  College of Technology
  College of Veterinary Medicine
  Exploratory Studies
  Honors College
  Graduate
  Graduate Studies
  Combined Degree Programs
  Professional
  Doctor of Pharmacy
  Doctor of Veterinary Medicine
HELP
2014-2015 University Catalog [ARCHIVED CATALOG]

Courses

The University Catalog lists all courses that pertain to the West Lafayette campus. In order to view courses that are available at a given time, and the details of such courses, please visit the myPurdue Schedule of Classes.

To search for a group of courses within a number range, enter an asterisk to note the unspecified value in the course code or number field. For example, to search for all AAE courses at the 50000 level, enter 5* in the “Code or Number” box.
 

Speech, Language and Hearing Science
  

  • SLHS 59000 - Directed Study Of Special Problems

    Credit Hours: 1.00 to 6.00. Topics vary. Permission of instructor required. Typically offered Fall Spring Summer.
  

  • SLHS 60500 - Signal Processing For Hearing And Speech Sciences

    Credit Hours: 3.00. Provides an overview of the fundamental theory of signals and systems analysis with applications to hearing and speech sciences. Topics include: Introduction to MATLAB, time and frequency domain characterizations of signals and systems, analyses of signals through systems, time/frequency relations, spectrograms, applications to hearing (e.g., hearing-aid and cochlear-implant signal processing), applications to speech, and digital signal processing. Practical experience with digital signal processing (primarily in MATLAB) will supplement lectures. No explicit background in signal processing or MATLAB is assumed. Typically offered Spring.
  

  • SLHS 60600 - Experimental Phonetics

    Credit Hours: 3.00. Review and critical study of current experimental literature in acoustics and perception of speech. Offered in alternate years. Permission of instructor required. Typically offered Fall.
  

  • SLHS 60900 - Seminar In Language Acquisition

    Credit Hours: 2.00. Critical review of current research in selected areas of typical and atypical language acquisition. Prerequisite: SLHS 50900 . Permission of instructor required. Typically offered Spring.
  

  • SLHS 61900 - Advanced Topics In Audiology And Speech Pathology

    Credit Hours: 1.00 to 3.00. Study of advanced topics, varying from semester to semester. Course content will be drawn from areas for which there are no permanent courses. Typically offered Fall Spring.
  

  • SLHS 64800 - Speech-Language Pathology Education Externship

    Credit Hours: 1.00 to 8.00. Full-time school-clinical experience to provide speech, language, and hearing services in elementary and secondary schools, under the supervision of a school clinician and university staff holding the ASHA Certificate of Clinical Competency. Typically offered Summer Fall Spring.
  

  • SLHS 64900 - Speech-Language Pathology Healthcare Externship

    Credit Hours: 1.00 to 8.00. An advanced-level clinical practicum in speech and language disorders. Prerequisite: SLHS 54900 . Permission of instructor required. Typically offered Spring Summer Fall.
  

  • SLHS 65800 - Advanced Topics In Audiology

    Credit Hours: 2.00 or 3.00. Detailed study of selected topics in audiology. Permission of instructor required. Typically offered Summer Fall Spring.
  

  • SLHS 65900 - Audiology Practice Management

    Credit Hours: 2.00. An examination of business and professional issues related to audiology. Practice management topics include conducting a feasibility analysis, writing a business plan, employee management, marketing, reimbursement, and practice growth. Professional issues include licensing, certification, liability issues, and career planning. Prerequisite: SLHS 57900  and Doctor of Audiology majors only. Typically offered Fall Spring.
  

  • SLHS 67800 - Audiology Educational Externship

    Credit Hours: 1.00 to 8.00. School clinical experience to provide audiology services in elementary and secondary schools under the supervision of a school clinician and University staff holding the Certificate of Clinical Competence in Audiology from the American Speech-Language and Hearing Association. Prerequisite: SLHS 55200 , SLHS 57900 . Permission of department required. Typically offered Fall Spring.
  

  • SLHS 67900 - Advanced Clinical Practice In Audiology

    Credit Hours: 1.00 to 8.00. An advanced-level clinical practicum in audiology. Permission of instructor required. Typically offered Fall Spring Summer.
  

  • SLHS 69000 - Directed Study Of Special Problems

    Credit Hours: 1.00 to 4.00. Topics vary. Permission of instructor required. Typically offered Fall Spring Summer.
  

  • SLHS 69800 - Research MS Thesis

    Credit Hours: 1.00 to 18.00. Research MS Thesis. Permission of instructor required. Typically offered Fall Spring Summer.
  

  • SLHS 69900 - Research PhD Thesis

    Credit Hours: 1.00 to 18.00. Research PhD Thesis. Permission of instructor required. Typically offered Fall Spring Summer.

Sustainable Food and Farm Systems
  

  • SFS 21000 - Small Farm Experience I

    Credit Hours: 3.00. This is the first course of two designed to help students gain an understanding of what is needed to establish a productive small farm enterprise. There will be short field trips to local small farming enterprises. Classes will also be taught by guest lecturers and local farmers who have been successful at establishing small farming enterprises. Students in the class will be responsible for working on the Purdue Student Farm to gain practical experience on the topics and concepts being taught in the class. Typically offered Spring.
  

  • SFS 21100 - Small Farm Experience II

    Credit Hours: 3.00. This course is a continuation of SFS 21000  and is designed to help students gain an understanding of what is needed to establish a productive small farm enterprise. There will be short field trips to local small farming enterprises. Classes will also be taught by guest lecturers and local farmers who have been successful at establishing small farming enterprises. Students in the class will be responsible for working on the Purdue Student Farm to gain practical experience on the topics and concepts being taught in the class. Typically offered Fall.
  

  • SFS 30100 - Agroecology

    Credit Hours: 3.00. This course introduces students to the application of ecological concepts to food production systems and farm management. We will consider species interactions, nutrient and water cycles, regenerative practices, alternative approaches to agriculture, and ecosystem services provided to and by agro-ecosystems. Typically offered Spring.
  

  • SFS 30200 - Principles Of Sustainability

    Credit Hours: 3.00. Principles of sustainability is an experiential (discussion/debate) course that delivers an expansive overview of the principles of sustainability as they relate to energy and resources, communities, and agriculture. Students will learn to understand and analyze different food and farming systems and how they relate to environmental, economic and social sustainability. Typically offered Fall.
  

  • SFS 31100 - Aquaponics

    Credit Hours: 1.00. There has been significant renewed interest in the investigation of integrated fish-food plant systems. Such systems have a long and rich history, particularly in Asia, and our impending food crisis has kindled an interest in developing aquaponic systems in western countries. Many growers are turning to controlled environment and hydroponic production methods to produce high-value crops in tight quarters. High input costs can, however, be a limitation. High value food plants and fish can be a natural marriage. The waste disposal problem of the fish can become the nutrient supply to the plants. Typically offered Fall.
  

  • SFS 31200 - Urban Agriculture

    Credit Hours: 1.00. Urban agriculture has the potential to address a range of social, economic and environmental issues including food insecurity, energy conservation, and human health and well-being. During this 5-week course, students will learn about the forces driving urban agriculture as well as the political and biophysical factors constraining it by reading articles, reviewing case studies, and visiting urban farms, vertical farm factories, food pantries, and local food advocacy groups. At the end of this course, students will apply the knowledge they’ve gained by developing a plan to increase urban agriculture in the greater Lafayette metropolitan area. Typically offered Fall.
  

  • SFS 31300 - Farm To Fork

    Credit Hours: 1.00. This course will investigate the culinary opportunities of local and seasonal foods and the horticultural demands of producing and marketing them. Dr. Hallett will represent the “farm”, giving students a brief overview of the production of local and seasonal foods in Indiana. The “farm” will harvest produce at the student farm and deliver it to the “fork” – Chef Ambarish Lulay - who will work his culinary magic in the teaching kitchens in the HTM department. The focus, from both “sides” of the course will be the importance of niche marketing for farmers and chefs. This course is going to be tasty and fun! Typically offered Fall.
  

  • SFS 31400 - Comparative Livestock Production Systems

    Credit Hours: 1.00. This course will compare and contrast the various livestock and poultry systems in the United States. The course will begin with in depth analysis of the history and structure of prevalent or conventional livestock and poultry production systems followed by a similar analysis of the various alternative production systems currently in use in the US, including organic, grass-fed, and pasture-raised among others. A heavy focus will be placed on critically evaluating the pros and cons of each system, regulations of both conventional and process-verified systems and potential differences in products resulting from different management and processing systems. Typically offered Spring.
  

  • SFS 31500 - Energy And Resource Systems

    Credit Hours: 1.00. The goal of this class is to encourage students to think of human systems, including food and farming, energy, economic and political systems in the ways that ecologists think of ecological systems. How does energy flow through these systems and how do resources flow or recycle through and throughout these systems? What are the weaknesses of human systems that could be mitigated by mimicking natural systems? Issues of efficiency, sustainability and resilience will be investigated in the context of vegetation succession, fire cycles, ecological tipping points and adaptive cycles. Typically offered Spring.
  

  • SFS 31600 - Decisions Through Systems Analysis

    Credit Hours: 1.00. This class introduces students to the basic rationale, concepts and mechanics of systems analysis. After an introduction to the concepts, students go through examples of integrated research carried out with systems analysis that has been used for decision making on both enterprise and broader scales. These examples also illustrate such things as the importance of data, metrics and the validity of information to be used in a systems analysis. Finally, students will set up their own systems decision framework for a problem of their interest. Typically offered Spring.
  

  • SFS 35000 - Summer Farm Internship

    Credit Hours: 0.00. The summer internship will give students the opportunity to spend ten weeks on a farming enterprise, either at the Purdue University student farm, or at another farm in the region. A number of types of internships will be considered, and these might include internships not on farms, but on other farm-related businesses. We will assess these internships on a case-by case basis. The majority of the time spent by students is expected to be farm management work under the supervision of the host farmer. A list of requirements of both intern and host farmer will ensure that interns are engaged in enriching internship activities and not just exploited as laborers. Curricular activities will also be presented at farm visits, workshops and tours. Typically offered Summer.
  

  • SFS 35100 - SFS Capstone Project

    Credit Hours: 1.00. The SFS Capstone Project is a directed-learning course that will require students to prepare and present a sustainability analysis of a farm enterprise, most likely the enterprise at which they conduct their required summer internship, and this may be an internship approved at an operation other than a farm. Students will be required to analyze and enterprise taking into account its economic, environmental and social sustainability, and its broader role in sustaining the local and regional economy, environment and community. The analysis will be prepared as a paper and a presentation that will be given to the undergraduates of the SFS program at an SFS program meeting. The paper and the presentation will be prepared in consultation with a faculty mentor from the SFS program committee and will be graded by the faculty mentor. Typically offered Fall Spring Summer.

Statistics
  

  • STAT 11300 - Statistics And Society

    Credit Hours: 3.00. Introduction to statistical ideas and their impact on public policy and the sciences. Sample surveys, design of experiments, measurement, analysis of data, simulating probabilities, concepts of inference. Application to current issues and controversies. Not available for credit toward graduation in the School of Science. Typically offered Summer Fall Spring.
  

  • STAT 11400 - Elements Of Probability And Statistics

    Credit Hours: 3.00. Probability, principles of choice, decision problems, use of data, examples in testing and estimation. STAT 11300  may be helpful. Not available for credit toward graduation in the School of Science. Typically offered Fall Spring.
  

  • STAT 17000 - Introduction To Actuarial Science

    Credit Hours: 2.00. (MA 17000 ) An introduction to actuarial science from the point of view of practicing actuaries from life insurance, casualty insurance and consulting; introduction to insurance and the mathematical theory of interest; application of spreadsheets to problems related to actuarial science. Typically offered Fall.
  

  • STAT 18300 - Cooperative Work Experience I

    Credit Hours: 0.00. Cooperative Work Experience. Must be accepted for the program by the cooperative program coordinator. For Cooperative Education Program students only. Typically offered Fall Spring Summer.
  

  • STAT 18400 - Cooperative Work Experience II

    Credit Hours: 0.00. Cooperative Work Experience. Must be accepted for the program by the cooperative program coordinator. For Cooperative Education Program students only. Typically offered Fall Spring Summer.
  

  • STAT 19000 - Topics In Statistics For Undergraduates

    Credit Hours: 1.00 to 5.00. Supervised reading course or special topics course at the freshman level for undergraduates are given under this number. Permission of instructor required. Typically offered Summer Fall Spring.
  

  • STAT 22500 - Introduction To Probability Models

    Credit Hours: 3.00. An introduction to basic probability. Emphasis is placed on formulation of models and applications. Probability calculus, standard distributions, random variables, and moments. Credit cannot be given for more than one of STAT 22500, STAT 31100 , or STAT 41600 . Typically offered Summer Fall Spring.
  

  • STAT 25000 - Problems Solving In Probability

    Credit Hours: 2.00. (MA 25000 ) This course is designed to teach techniques for solving problems in probability theory which are relevant to the actuarial sciences. It is intended to help actuarial students prepare for the Society of Actuaries and Casualty Actuarial Society Exam P/1. Credit by Examination is not available for this course. MA 41600 /STAT 41600  is strongly recommended. Typically offered Fall Spring.
  

  • STAT 28400 - Cooperative Work Experience III

    Credit Hours: 0.00. Cooperative Work Experience. Typically offered Fall Spring Summer.
  

  • STAT 29000 - Topics In Statistics For Undergraduates

    Credit Hours: 1.00 to 5.00. Supervised reading course or special topics course at the sophomore level for undergraduates are given under this number. Permission of instructor required. Typically offered Summer Fall Spring.
  

  • STAT 30100 - Elementary Statistical Methods

    Credit Hours: 3.00. Introduction to statistical methods with applications to diverse fields. Emphasis on understanding and interpreting standard techniques. Data analysis for one and several variables, design of samples and experiments, basic probability, sampling distributions, confidence intervals and significance tests for means and proportions, correlation and regression. Software is used throughout. Credit cannot be given for more than one of STAT 30100, 30500, STAT 35000 , 43300, STAT 50100 , STAT 50300 , and STAT 51100 . Prerequisite: college algebra. Typically offered Summer Fall Spring.
  

  • STAT 31100 - Introductory Probability

    Credit Hours: 3.00. Formulation of probability problems, discrete and continuous random variables, expectation, standard distributions, applications to statistical problems, and problems in the physical sciences. Credit cannot be given for more than one of STAT 22500 , 31100, or STAT 41600 . Prerequisite: two semesters of college calculus. Typically offered Spring.
  

  • STAT 35000 - Introduction To Statistics

    Credit Hours: 3.00. A data-oriented introduction to the fundamental concepts and methods of applied statistics. Exploratory analysis of data. Sample design and experimental design. Probability distributions and simulation. Sampling distributions. The reasoning of statistical inference. Confidence intervals and tests for one and two samples. Inference for contingency tables, regression, and correlation. Introduction to regression with several explanatory variables. Essential use is made of statistical software throughout. Intended primarily for students majoring in the mathematical sciences. Credit cannot be given for more than one of STAT 30100 , 30500, 35000, 43300, STAT 50100 , STAT 50300 , and STAT 51100 . Prerequisite: two semesters of college calculus. Typically offered Fall Spring.
  

  • STAT 38600 - Cooperative Work Experience IV

    Credit Hours: 0.00. Cooperative Work Experience. Typically offered Fall Spring Summer.
  

  • STAT 39000 - Topics In Statistics For Undergraduates

    Credit Hours: 1.00 to 5.00. Supervised reading course or special topics course at the junior level for undergraduates are given under this number. Permission of instructor required. Typically offered Summer Fall Spring.
  

  • STAT 41600 - Probability

    Credit Hours: 3.00. (MA 41600 ) An introduction to mathematical probability suitable as preparation for actuarial science, statistical theory, and mathematical modeling. General probability rules, conditional probability and Bayes theorem, discrete and continuous random variables, moments and moment generating functions, joint and conditional distributions, standard discrete and continuous distributions and their properties, law of large numbers and central limit theorem. Credit cannot be given for more than one of STAT 22500 , STAT 31100 , or 41600. Prerequisite: multivariate calculus. Typically offered Fall Spring.
  

  • STAT 41700 - Statistical Theory

    Credit Hours: 3.00. An introduction to the mathematical theory of statistical inference, emphasizing inference for standard parametric families of distributions. Properties of estimators. Bayes and maximum likelihood estimation. Sufficient statistics. Properties of test of hypotheses. Most powerful and likelihood-ratio tests. Distribution theory for common statistics based on normal distributions. Typically offered Fall Spring.
  

  • STAT 42000 - Introduction To Time Series

    Credit Hours: 3.00. An introduction to time series analysis suitable for actuarial science, engineering, and sciences. Model building and forecasting with ARMA and ARIMA models. Resampling methods for confidence intervals. Multivariate, state-space, and nonlinear models. Volatility models (ARCH and GARCH). Smoothing in time series. Typically offered Fall Spring.
  

  • STAT 47201 - Actuarial Models- Life Contingencies

    Credit Hours: 4.00. Mathematical foundation of actuarial science, emphasizing probability models for life contingencies as the basis for analyzing life insurance and life annuities and determining premiums and reserves. This course provides the background for Course MLC of the Society of Actuaries and Course 3L of the Casualty Actuarial Society. Typically offered Fall.
  

  • STAT 47301 - Introduction To Arbitrage-Free Pricing Of Financial Derivatives

    Credit Hours: 3.00. This course exposes students to a number of financial economics concepts related to arbitrage-free option pricing in the binomial market model and the Black-Scholes model. Specific models include: (1) Options and parity relationship between options (2) Option Pricing under the Binomial model (3) Option Pricing under the Black-Scholes model (4) Option hedging and the market maker’s overnight profit (5) Black Scholes theory with Brownian motion and Ito calculus (6) Risk-neutral option pricing and Monte Carlo valuation (7) Stochastic interest rates and Stochastic Volatility. This course provides the background for Couse MFE of the Society of Actuaries and Course 3F of the Casualty Actuarial Society. Typically offered Fall Spring.
  

  • STAT 47800 - Introduction To Bioinformatics

    Credit Hours: 3.00. (CS 47800  and BIOL 47800 ) Bioinformatics is broadly defined as the study of molecular biological information, targeting particularly the enormous volume of DNA sequence and functional complexity embedded in entire genomes. Topics will include understanding the evolutionary organization of genes (genomics), the structure and function of gene products (proteomics), and the dynamics of gene expression in biological processes (transcriptomics). Inherently, bioinformatics is interdisciplinary, melding various applications of computational science with biology. This jointly taught course introduces analytical methods from biology, statistics and computer science that are necessary for bioinformatics investigations. The course is intended for junior and senior undergraduates from various science backgrounds. Our objective is to develop the skills of both tool users and tool designers in this important new field of research. . Typically offered Fall.
  

  • STAT 47900 - Loss Models

    Credit Hours: 3.00. This material provides an introduction to modeling and covers important actuarial methods that are useful in modeling. Students will be introduced to survival, severity, frequency and aggregate models, and use statistical methods to estimate parameters of such models given sample data. The student will further learn to identify steps in the modeling process, understand the underlying assumptions implicit in each family of models, recognize which assumptions are applicable in a given business application, and appropriately adjust the models for impact of insurance coverage modifications. The student will be introduced to a variety of tools for the calibration and evaluation of the models. Permission of instructor required. Typically offered Spring.
  

  • STAT 48700 - Cooperative Work Experience V

    Credit Hours: 0.00. Cooperative Work Experience. Typically offered Fall Spring Summer.
  

  • STAT 49000 - Topics In Statistics For Undergraduates

    Credit Hours: 1.00 to 5.00. Supervised reading course or special topics cousre at the senior level for undergraduates are given under this number. Permission of instructor required. Typically offered Fall Spring Summer.
  

  • STAT 50100 - Experimental Statistics I

    Credit Hours: 3.00. Concepts and methods of applied statistics. Exploratory analysis of data. Sample design and experimental design. Normal distributions. Sampling distributions. Confidence intervals and tests of hypotheses for one and two samples. Inference for contingency tables, regression and correlation, and one-way analysis of variance. Use of the SAS statistical software. Intended primarily for students who have not had calculus. Not open to students in mathematical sciences or engineering. Credit cannot be given for more than one of STAT 30100 , 30500, STAT 35000 , 43300, 50100, STAT 50300 , or STAT 51100 . Prerequisite: College Algebra. Typically offered Summer Fall.
  

  • STAT 50200 - Experimental Statistics II

    Credit Hours: 3.00. Regression with several explanatory variables. Regression diagnostics. Analysis of variance for factorial designs. Multiple comparisons. Analysis of covariance. Repeated measures designs. Extensive use of the SAS statistical software. Intended primarily for students who have not had calculus. Not open to students in mathematical sciences or engineering. Typically offered Summer Spring.
  

  • STAT 50300 - Statistical Methods For Biology

    Credit Hours: 3.00. Introductory statistical methods, with emphasis on applications in biology. Topics include descriptive statistics, binomial and normal distributions, confidence interval estimation, hypothesis testing, analysis of variance, introduction to nonparametric testing, linear regression and correlation, goodness-of-fit tests, and contingency tables. Open only to majors related to the life sciences. Credit cannot be given for more than one of STAT 30100 , 30500, STAT 35000 , 43300, STAT 50100 , 50300, or STAT 51100 . Typically offered Fall Spring.
  

  • STAT 50600 - Statistical Programming And Data Management

    Credit Hours: 3.00. Use of the SAS software system for managing statistical data. The SAS environment. Data description. Data access and management. SAS macro language and application development. Prerequisite: STAT 51200  and coursework in computer programming. Typically offered Fall.
  

  • STAT 51100 - Statistical Methods

    Credit Hours: 3.00. Descriptive statistics; elementary probability; sampling distributions; inference, testing hypotheses, and estimation; normal, binomial, Poisson, hypergeometric distributions; one-way analysis of variance; contingency tables; regression. Credit cannot be given for more than one of STAT 30100 , 30500, STAT 35000 , 43300, STAT 50100 , STAT 50300 , or 51100. Prerequisite: Two semesters of college calculus. Typically offered Fall Spring.
  

  • STAT 51200 - Applied Regression Analysis

    Credit Hours: 3.00. Inference in simple and multiple linear regression, residual analysis, transformations, polynomial regression, model building with real data, nonlinear regression. One-way and two-way analysis of variance, multiple comparisons, fixed and random factors, analysis of covariance. Use of existing statistical computer programs. Prerequisite: Coursework in Statistical Methods with a calculus prerequisite. Typically offered Fall Spring Summer.
  

  • STAT 51300 - Statistical Quality Control

    Credit Hours: 3.00. A strong background in control charts including adaptations, acceptance sampling for attributes and variables data, standard acceptance plans, sequential analysis, statistics of combinations, moments and probability distributions, applications. Offered in alternate years. Typically offered Fall.
  

  • STAT 51400 - Design Of Experiments

    Credit Hours: 3.00. Fundamentals, completely randomized design; randomized complete blocks; latin square; multi-classification; factorial; nested factorial; incomplete block and fractional replications for 2n, 3n, 2m x 3n; confounding; lattice designs; general mixed factorials; split plot; analysis of variance in regression models; optimum design. Use of existing statistical programs. Typically offered Fall Spring.
  

  • STAT 51500 - Statistical Consulting Problem

    Credit Hours: 1.00 to 3.00. A written report of a consultation problem involving a designed experiment or sampling plan in which the student participates with members of the Department of Statistics staff. Permission of instructor required. Typically offered.
  

  • STAT 51600 - Basic Probability And Applications

    Credit Hours: 3.00. A first course in probability, intended to serve as a background for statistics and other applications. Sample spaces and axioms of probability, discrete and continuous random variables, conditional probability and Bayes’ theorem, joint and conditional probability distributions, expectations, moments and moment generating functions, law of large numbers, and central limit theorem. (The probability material in course one of the Society of Actuaries and the Casualty Actuarial Society is covered by this course.) Typically offered Fall Spring.
  

  • STAT 51700 - Statistical Inference

    Credit Hours: 3.00. A basic course in statistical theory covering standard statistical methods and their application. Estimation including unbiased, maximum likelihood and moment estimation; testing hypotheses for standard distributions and contingency tables; confidence intervals and regions; introduction to nonparametric tests and linear regression. Typically offered Fall Spring.
  

  • STAT 51900 - Introduction To Probability

    Credit Hours: 3.00. (MA 51900 ) Algebra of sets, sample spaces, combinatorial problems, independence, random variables, distribution functions, moment generating functions, special continuous and discrete distributions, distribution of a function of a random variable, limit theorems. Typically offered Fall Spring.
  

  • STAT 52000 - Time Series And Applications

    Credit Hours: 3.00. A first course in stationary time series with applications in engineering, economics, and physical sciences. Stationarity, autocovariance function and spectrum; integral representation of a stationary time series and interpretation; linear filtering, transfer functions; estimation of spectrum; multivariate time series. Use of computer programs for covariance and spectral estimation. Typically offered Spring.
  

  • STAT 52200 - Sampling And Survey Techniques

    Credit Hours: 3.00. Survey designs; simple random, stratified, and systematic samples; systems of sampling; methods of estimation; costs. Offered in alternate years. Typically offered Spring.
  

  • STAT 52400 - Applied Multivariate Analysis

    Credit Hours: 3.00. Extension of univariate tests in normal populations to the multivariate case, equality of covariance matrices, multivariate analysis of variance, discriminant analysis and misclassification errors, canonical correlation, principal components, factor analysis. Strong emphasis will be placed on use of existing computer programs. Typically offered Fall.
  

  • STAT 52500 - Intermediate Statistical Methodology

    Credit Hours: 3.00. Statistical methods for analyzing data based on general/generalized linear models, including linear regression, analysis of variance (ANOVA), analysis of covariance (ANCOVA), random and mixed effects models, and logistic/loglinear regression models. Application of these methods to real world problems using SAS statistical software. Typically offered Fall Spring.
  

  • STAT 52600 - Advanced Statistical Methodology

    Credit Hours: 3.00. As a sequel to STAT 52500 , this course introduces some statistical modeling tools that are developed for situations where least squares regression and standard ANOVA techniques may not naturally apply. One coverage centers around two lines of models that are closely related, the generalized linear models (GLM) for regression (and ANOVA) with non Gaussian responses, and survival models for the analysis of lifetime data. Among issues to be discussed are the estimation of the models, the testing of hypotheses, and the checking of model adequacy. Data examples will be used throughout the course to illustrate the methodologies and the related software tools in R. Typically offered Fall Spring.
  

  • STAT 52800 - Introduction To Mathematical Statistics

    Credit Hours: 3.00. Distribution of mean and s2 in normal samples, sampling distributions derived from the normal distribution, Chi square, t and F. Distribution of statistics based on ordered samples. Asymptotic sampling distributions. Introduction to multivariate normal distribution and linear models. Sufficient statistics, maximum likelihood, least squares, linear estimation, other methods of point estimation, and discussion of their properties, Cramer-Rao inequality and Rao-Blackwell theorem. Tests of statistical hypotheses, simple and composite hypotheses, likelihood ratio tests, power of tests. Typically offered Fall Spring.
  

  • STAT 52900 - Applied Decision Theory And Bayesian Statistics

    Credit Hours: 3.00. Bayesian and decision theoretic formulation of problems; construction of utility functions and quantifications of prior information; methods of Bayesian decision and inference, with applications; empirical Bayes; combination of evidence; Bayesian design and sequential analysis; comparisons of statistical paradigms. Typically offered Summer.
  

  • STAT 53200 - Elements Of Stochastic Processes

    Credit Hours: 3.00. (MA 53200 ) A basic course in stochastic models, including discrete and continuous time Markov chains and Brownian motion, as well as an introduction to topics such as Gaussian processes, queues, epidemic models, branching processes, renewal processes, replacement, and reliability problems. Typically offered Fall Spring.
  

  • STAT 53800 - Probability Theory I

    Credit Hours: 3.00. (MA 53800 ) Mathematically rigorous, measure-theoretic introduction to probability spaces, random variables, expectation, independence, weak and strong laws of large numbers, conditional expectations, and martingales. Typically offered Spring.
  

  • STAT 53900 - Probability Theory II

    Credit Hours: 3.00. (MA 53900 ) Convergence of probability laws; characteristic functions; convergence to the normal law; infinitely divisible and stable laws; Brownian motion and the invariance principle. Typically offered Fall.
  

  • STAT 54000 - Mathematics Of Finance

    Credit Hours: 3.00. An introduction to the mathematical tools and techniques of modern finance theory, in the context of Black-Scholes option pricing. Brownian motion and its stochastic calculus, Ito’s formula, and Feynman-Kac formula. Pricing and hedging of claims on Black-Scholes assets. Incomplete markets. Path-dependent options. Stochastic portfolio optimization. Typically offered Spring.
  

  • STAT 54100 - Advanced Probability And Options With Numerical Methods

    Credit Hours: 3.00. Stochastic interest rate models. American options from the probabilistic and PDE points of view. Numerical methods for European and American options, including binomial, trinomial, and Monte-Carlo methods. Typically offered Fall.
  

  • STAT 54500 - Introduction To Computational Statistics

    Credit Hours: 3.00. This introductory course covers the fundamentals of computing for statistics and data analysis. It starts with a brief overview of programming using a general purpose compiled language (C) and a statistics-oriented interpreted language (R). The course proceeds to cover data structures and algorithms that are directly relevant to statistics and data analysis and concludes with a computing-oriented introduction to selected statistical methods. A significant part of the course involves programming and hands-on experimentation demonstrating the covered techniques, ration, and Markov chain Monte Carlo methods. Typically offered Fall Spring.
  

  • STAT 54600 - Computational Statistics

    Credit Hours: 3.00. The course focuses on two fundamental aspects in computational statistics: (1) what to compute and (2) how to compute. The first is covered with a brief review of advanced topics in statistical inference, including Fisher’s fiducial inference, Bayesian and frequenstist methods, and the Dempster-Shafer (DS) Theory. The second is discussed in detail by examining exact, approximation, and interactive simulation methods for statistical inference with a variety of commonly used statistical models. The emphasis is on the EM-type and quasi-Newton algorithms, numerical differentiation and integration, and Markov chain Monte Carlo methods. Typically offered Spring Summer.
  

  • STAT 54900 - An Introduction To QTL Mapping In Experimental Populations

    Credit Hours: 3.00. This is an introductory/interdisciplinary (master’s level) quantitative trait locus (QTL) mapping course. QTL mapping is associated with the statistical analysis of genetic/genomic data and is considered part of the general science known as bioinformatics. Typically offered Spring.
  

  • STAT 55300 - Theory Of Linear Models And Analysis Of Experimental Designs

    Credit Hours: 3.00. Least squares analysis of linear models. Gauss Markov Theorem. Estimability and testability of parameters. Confidence regions and prediction regions. Introduction to design of experiments. Analysis of variance. Factorial and block designs. Analysis of random, fixed, and mixed models. Components of variance. Distribution of linear and quadratic forms in normal vectors. A firm background in matrix algebra and some previous exposure to linear models or analysis of variance is desirable. Typically offered Fall.
  

  • STAT 58000 - Application Of Statistical Theory

    Credit Hours: 3.00. The use of numerical methods to obtain answers in problems arising in probability and statistics. Topics will include the use of the likelihood function, Bayesian and classical methods of estimation and testing, evaluation of probabilities, linear and nonlinear regression. STAT 53200 , 55400, and some knowledge of computing and complex analysis are desirable. Typically offered Fall.
  

  • STAT 58100 - Bioinformatics Seminar

    Credit Hours: 1.00. This is a weekly forum for presenting both applied and theoretical work in the broad area of bioinformatics. Bioinformatics is the science of generating, organizing, and analyzing biological data. This seminar series occurs both in the fall and spring semesters and attracts speakers from Purdue University, as well as throughout the world. Students are encouraged to register for this course, and everyone else is encouraged to attend this open seminar. Typically offered Fall Spring.
  

  • STAT 58200 - Statistical Consulting And Collaboration

    Credit Hours: 3.00. This course is designed to emphasize and develop the skills needed by a statistical consultant/collaborator. Topics include: problem solving, consulting session management, written and oral communication, research ethics, design of experiments, collection of data, and application of statistical methods to real problems. Class activities include actively participating in consulting sessions held by the Statistical Consulting Service, small group projects, short papers, and oral presentations. Permission of instructor required. Typically offered Fall Spring Summer.
  

  • STAT 59000 - Internship Seminar

    Credit Hours: 3.00. Students complete an internship where they will use statistical methods. A detailed report describing the internship work is required. Permission of instructor required. Typically offered Summer Fall Spring.
  

  • STAT 59700 - Statistical Consulting Seminar

    Credit Hours: 1.00. Active participation in weekly consulting meetings, directed reading in the statistical literature, application of statistical methods to real problems, report writing. Permission of Instructor required. Typically offered Fall Spring Summer.
  

  • STAT 59800 - Topics In Statistical Methods

    Credit Hours: 0.00 to 6.00 (West Lafayette, IUPUI) 1.00 to 3.00 (North Central) Directed study and reports for students who wish to undertake individual reading and study on approved topics. Permission of instructor required. Typically offered Fall Spring Summer.
  

  • STAT 63800 - Stochastic Processes I

    Credit Hours: 3.00. (MA 63800 ) Advanced topics in probability theory which may include stationary processes, independent increment processes, Gaussian processes; martingales, Markov processes, ergodic theory. Prerequisite: STAT 53900 . Typically offered Fall Spring.
  

  • STAT 63900 - Stochastic Processes II

    Credit Hours: 3.00. (MA 63900 ) Continuation of STAT 63800 . Typically offered Fall.
  

  • STAT 66700 - Measure-Theoretic Statistics: Decision Theoretic And Classical

    Credit Hours: 3.00. Decision theoretic approach to statistical problems, complete class theorems, Bayes and minimax procedures, sequential decision problems, sufficiency, comparison of experiments, invariance; most stringent, similar, unbiased, likelihood ratio tests; efficiency, Cramer-Rao inequality, estimation analogues of good tests; confidence sets. Prerequisite: MA 57100 , STAT 52800 , STAT 53900 , 57600. Typically offered Fall.
  

  • STAT 69000 - Seminar

    Credit Hours: 1.00 to 3.00. Topics vary. Permission of instructor required. Typically offered Fall Spring Summer.
  

  • STAT 69100 - Seminar In Probability Theory

    Credit Hours: 1.00 to 3.00. Topics vary. Permission of instructor required. Typically offered Fall Spring Summer.
  

  • STAT 69200 - Statistics Seminar

    Credit Hours: 1.00. A colloquium or seminar course with discussion. Colloquium speakers present current technical results from statistics. A discussion follows in which the speaker and instructor take questions and explain issues in detail. Students give reports on lectures. Permission of department required. Typically offered Fall Spring.
  

  • STAT 69500 - Seminar In Mathematical Statistics

    Credit Hours: 1.00 to 3.00. Topics vary. Permission of instructor required. Typically offered Fall Spring Summer.
  

  • STAT 69800 - Research MS Thesis

    Credit Hours: 1.00 to 18.00. Research MS Thesis. Permission of instructor required. Typically offered Fall Spring Summer.
  

  • STAT 69900 - Research PhD Thesis

    Credit Hours: 1.00 to 18.00. Research PhD Thesis. Permission of instructor required. Typically offered Fall Spring Summer.

Technology
  

  • TECH 10000 - Technology Freshman Seminar

    Credit Hours: 1.00. Technology Freshman Seminar. Typically offered Fall.
  

  • TECH 10100 - Women In Technology: Exploring The Possibilities

    Credit Hours: 1.00. An in-depth view of the emerging role of women in technology. Presentations by career professionals and faculty in a variety of technology disciplines will increase familiarity with the diversity of programs within the school. Academic and interpersonal skills and strategies needed to succeed in technology careers, and issues such as balancing work and family, will be addressed. Typically offered Fall.
  

  • TECH 10500 - Introduction To Engineering Technology

    Credit Hours: 3.00. Introduction to the different disciplines incorporated in engineering technology as well as the skill set needed to be a successful student in engineering technology. Focus will be on individual and professional development, problem identification, developing analytical skills, time and resource management, project planning, design, implementation and evaluation, and oral and written communication in the engineering technology profession. Typically offered Fall Spring Summer.
  

  • TECH 11000 - Freshman Honors Seminar

    Credit Hours: 1.00. A first-year honors seminar designed to inform and challenge technology students. Discussion will include a broad range of technology and intellectual issues. By invitation or permission of the instructor. Permission of instructor required. Typically offered Fall Spring.
  

  • TECH 12000 - Design Thinking In Technology

    Credit Hours: 3.00. Student will engage in critical analysis of real-world problems and global challenges. They will demonstrate the ability to recognize opportunity and to take initiative in developing solutions applying the principles of human centered design. Students will be able to communicate effectively and to work well on teams. Problems and solutions will be examined from societal, cultural, and ethical perspectives. Typically offered Fall Spring Summer.
  

  • TECH 19900 - Special Topics In Technology

    Credit Hours: 1.00 to 3.00. Special topics in Technology; subject matter to be arranged. Typically offered Summer Fall Spring.
  

  • TECH 29199 - Professional Practice Extensive Co-Op I

    Credit Hours: 0.00 to 3.00. Professional practice with qualified employers within industry, government, or small business. Permission of instructor required. Typically offered Fall Spring Summer.
 

Page: 1 <- Back 10 … 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72