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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.Credits: 3.00
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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. For statistics majors and minors, credit should be allowed in no more than one of STAT 30100, 30301, 35000, 35500, 50100, and in no more than one of STAT 50300 and STAT 51100. Prerequisite: two semesters of college calculus.Credits: 3.00
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STAT 35500 - Statistics For Data Science
Credit Hours: 3.00. An introduction to methodologies for data analysis and simulation. Populations and sampling. Distributions and summaries of distributions. Algorithms for sampling and resampling. Foundational statistical concepts including confidence intervals, hypothesis testing, correlation. Introduction to classification and regression. Essential use is made of statistical software throughout. For statistics majors and minors, credit should be allowed in no more than one of STAT 30100, 30301, 35000, 35500, 50100, and in no more than one of STAT 50300 and STAT 51100.Credits: 3.00
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STAT 38199 - Professional Practice Co-Op I
Credit Hours: 0.00. Professional experience in Statistics. Program coordinated by Office of Professional Practice with cooperation of participating employers. Students submit a summary report and company evaluation. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 0.00
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STAT 38299 - Professional Practice Co-Op II
Credit Hours: 0.00. Professional experience in Statistics. Program coordinated by Office of Professional Practice with cooperation of participating employers. Students submit a summary report and company evaluation. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 0.00
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STAT 38399 - Professional Practice Co-Op III
Credit Hours: 0.00. Professional experience in Statistics. Program coordinated by Office of Professional Practice with cooperation of participating employers. Students submit a summary report and company evaluation. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 0.00
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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.Credits: 1.00 to 5.00
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STAT 39499 - Extensive Cooperative Experience IV
Credit Hours: 0.00. Professional experience in statistics. Program coordinated by school with cooperation of participating employers. Students submit summary report and company evaluation. Professional Practice students only. Permission of department required.Credits: 0.00
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STAT 39599 - Extensive Cooperative Experience V
Credit Hours: 0.00. Professional experience in statistics. Program coordinated by school with cooperation of participating employers. Students submit summary report and company evaluation. Professional Practice students only. Permission of department required.Credits: 0.00
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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, 31100, or 41600. Prerequisite: multivariate calculus. Typically offered Fall Spring.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 4.00
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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.Credits: 3.00
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STAT 47401 - Statistics For Risk Modeling
Credit Hours: 3.00. This course introduces various statistics learning methods for analyzing insurance data. The main objective is to prepare actuarial science students for the Exam SRM: Statistics for Risk Modeling of the Society of Actuaries.Credits: 3.00
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STAT 47500 - Life Contingencies II
Credit Hours: 2.00. This course covers advanced life contingencies topics such as multiple decrement models, joint life models, pension models, and profit emergence and testing for insurance products. It builds on the basic life contingent models learned in STAT 47200 and STAT 47201. Permission of instructor required. Typically offered Spring.Credits: 2.00
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STAT 47501 - Advanced Long Term Actuarial Mathematics
Credit Hours: 3.00. This course covers advanced life contingencies topics such as multiple decrement models, joint life models, pension models, and profit emergence and testing for insurance products. It builds on the basic life contingent models learned in STAT 47200.Credits: 3.00
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STAT 47902 - Short Term Fundamental Actuarial Models
Credit Hours: 3.00. This course aligns with one of the Society of Actuaries examinations. The course will cover the learning objectives for a portion of the Society of Actuaries Examination STAM. Permission of department required. Permission of instructor required.Credits: 3.00
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STAT 49000 - Topics In Statistics For Undergraduates
Credit Hours: 1.00 to 5.00. Supervised reading course or special topics course at the senior level for undergraduates are given under this number. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 1.00 to 5.00
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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. For statistics majors and minors, credit should be allowed in no more than one of STAT 30100, STAT 30301, STAT 35000, STAT 35500, STAT 50100, and in no more than one of STAT 50300 and STAT 51100. Prerequisite: College Algebra. Typically offered Fall Spring Summer.Credits: 3.00
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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.Credits: 3.00
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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. For statistics majors and minors, credit should be allowed in no more than one of STAT 30100, STAT 30301, STAT 35000, STAT 35500, STAT 50100, and in no more than one of STAT 50300 and STAT 51100.Credits: 3.00
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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 Spring.Credits: 3.00
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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. For statistics majors and minors, credit should be allowed in no more than one of STAT 30100, STAT 30301, STAT 35000, STAT 35500, STAT 50100, and in no more than one of STAT 50300 and STAT 51100. Prerequisite: Two semesters of college calculus. Credits: 3.00
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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. Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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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 Fall Spring Summer.Credits: 1.00 to 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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STAT 52700 - Introduction To Computing For Statistics
Credit Hours: 3.00. This course provides a thorough introduction to the R programming language, and its use for statistical computing and data science. The course will first look at the fundamentals of R, including different data-structures, control-flow, and the basic vocabulary. An emphasis will be placed on learning idiomatic and efficient R, covering ideas such as recycling, vectorization and functional programming. The course will then look at principles and tools for tasks like organizing data (‘tidy data’), manipulating data (‘data carpentry’), querying data (through topics like regular expressions) as well as visualizing data (including interactive visualizations). The material and the homework will encourage development of modular reusable code and reproducible research through ideas such as object-oriented programming and dynamic documents in R Markdown. The last part of the course will study statistical procedures such as least-squares regression, LASSO, Monte Carlo sampling and Markov chain Monte Carlo. Besides exams and homeworks, the course will involve a final project that students can collaborate together on.
Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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STAT 54000 - Computational Finance I
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.Credits: 3.00
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STAT 54100 - Computational Finance II
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.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 3.00
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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 Spring.Credits: 3.00
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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.Credits: 3.00
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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.Credits: 1.00
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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 Spring.Credits: 3.00
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STAT 59000 - Internship Seminar
Credit Hours: 1.00 to 3.00. Students complete an internship where they will use statistical methods. A detailed report describing the internship work is required. Permission of department required. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 1.00 to 3.00
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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.Credits: 1.00
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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.Credits: 0.00 to 6.00
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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.Credits: 3.00
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STAT 63900 - Stochastic Processes II
Credit Hours: 3.00. (MA 63900) Continuation of STAT 63800. Typically offered Fall.Credits: 3.00
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STAT 65600 - Bayesian Data Analysis
Credit Hours: 3.00. Bayesian data analysis refers to practical inferential methods that use probability models for both observable and unobservable quantities. The flexibility and generality of these methods allow them to address complex real-life problems that are not amenable to other techniques. This course will provide a pragmatic introduction to Bayesian data analysis and its powerful applications. Topics include: the fundamentals of Bayesian inference for single and multiparameter models, regression, hierarchical models, model checking, approximation of a posterior distribution by iterative and non-iterative sampling methods, and Bayesian nonparametrics. Specific topics and the course outline are subject to change as the semester progresses. All topics will be motivated by problems from the physical, life, social, and management sciences. Conceptual understanding and inference via computer simulation will be emphasized throughout the course. Permission of department required.Credits: 3.00
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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, STAT 57600. Typically offered Fall.Credits: 3.00
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STAT 69000 - Seminar
Credit Hours: 1.00 to 3.00. Topics vary. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 1.00 to 3.00
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STAT 69100 - Seminar In Probability Theory
Credit Hours: 1.00 to 3.00. Topics vary. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 1.00 to 3.00
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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.Credits: 1.00
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STAT 69500 - Seminar In Mathematical Statistics
Credit Hours: 1.00 to 3.00. Topics vary. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 1.00 to 3.00
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STAT 69800 - Research MS Thesis
Credit Hours: 1.00 to 18.00. Research MS Thesis. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 1.00 to 18.00
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STAT 69900 - Research PhD Thesis
Credit Hours: 1.00 to 18.00. Research PhD Thesis. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 1.00 to 18.00
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TECH 10000 - Technology Freshman Seminar
Credit Hours: 1.00. Technology Freshman Seminar. Typically offered Fall.Credits: 1.00
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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.Credits: 1.00
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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.Credits: 3.00
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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.Credits: 1.00
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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.Credits: 3.00
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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.Credits: 1.00 to 3.00
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TECH 22000 - Designing Technology For People
Credit Hours: 3.00. Innovating in our complex world requires understanding people and the issues and challenges they face. This unique course brings together perspectives from technology and anthropology to address this by exploring ethnographic studies of people and technology interactions. Through this process, students will practice the problem scoping skills necessary to identify and define problems and begin to generate appropriate design solutions. In addition, students will learn how to observe and talk with people about technology and discuss a range of ways people use technology. Accordingly, the course will focus on human-centered design and how to empathize will people during the design process. This will allow students to learn how to identify opportunities for innovation that emerge when designers carefully observe and listen to humans using technology and/or experiencing problems with current technology. Note: This class engages the material in both the classroom and innovation labs.Credits: 3.00
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TECH 23199 - Professional Practice Extensive Seminar II
Credit Hours: 1.00. Optional co-op seminar course where students advance their professional development through sharing their work experiences and receiving feedback from the instructor and other co-op students. Seminar enrollment is intended to occur in the first on-campus semester following a co-op work session. Typically offered Fall Spring Summer.Credits: 1.00
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TECH 27199 - Professional Practice Extensive Seminar I
Credit Hours: 1.00. Optional co-op seminar course where students advance their professional development through sharing their work experiences and receiving feedback from the instructor and other co-op students. Seminar enrollment is intended to occur in the first on-campus semester following a co-op work session. Typically offered Fall Spring Summer.Credits: 1.00
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TECH 29199 - Cooperative Experience I
Credit Hours: 0.00. Professional practice with qualified employers within industry, government, or small business. Permission of department required.Credits: 0.00
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TECH 29299 - Cooperative Experience II
Credit Hours: 0.00. Professional practice with qualified employers within industry, government, or small business. Permission of department required.Credits: 0.00
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TECH 29900 - Special Topics In Technology II
Credit Hours: 1.00 to 3.00. Hours, subject matter, and credit to be arranged by faculty. Group instruction in new or specialty areas of technology provided by Technology faculty. Typically offered Fall Spring Summer.Credits: 1.00 to 3.00
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TECH 32000 - Technology And The Organization
Credit Hours: 3.00. A course intended to provide students with experiences mirroring what they will encounter in the world of work. Students will participate in interdisciplinary teams to explore technology solutions. Course topics include public policy, regulatory and ethical issues, teaming and leadership, and project management. Permission of department required. Typically offered Fall Spring Summer.Credits: 3.00
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TECH 33000 - Technology And The Global Society
Credit Hours: 3.00. The course examines the interplay of technology, globalization, intercultural awareness, political reforms, education, religion, gender roles, and history to allow students to gain insight into leading / enabling technology adoption and global business practices to address global markets and global challenges in their future professions.. Students will explore concepts and issues related to outsourcing; global competitiveness; intercultural communications; contemporary issues; cultural differences such as inequality, security, sustainability, and quality of life; and the ethical dilemmas that often emerge as a result of the impact of technology. This course will expose students to strategic and operational management topics that support decision making in global expansion of Business and Technology. This course is designed to provide knowledge and a higher level understanding of the principles behind globalization of technology and its regional and global markets. The course utilizes formal assessment instruments and intercultural activities to aid students in the development of increased intercultural capacity. Typically offered Fall Spring Summer. Credits: 3.00
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TECH 33099 - Professional Practice Extensive Seminar III
Credit Hours: 1.00. Optional co-op seminar course where students advance their professional development through sharing their work experiences and receiving feedback from the instructor and other co-op students. Seminar enrollment is intended to occur in the first on-campus semester following a co-op work session. Typically offered Fall Spring Summer.Credits: 1.00
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TECH 33199 - Professional Practice Extensive Seminar IV
Credit Hours: 1.00. Optional co-op seminar course where students advance their professional development through sharing their work experiences and receiving feedback from the instructor and other co-op students. Seminar enrollment is intended to occur in the first on-campus semester following a co-op work session. Typically offered Fall Spring Summer.Credits: 1.00
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TECH 34000 - Prototyping Technology For People
Credit Hours: 3.00. Innovating in our complex world requires us to think strategically and make the best decisions possible for both designing and business development. Accordingly, this unique course brings together perspectives from technology and business management to iteratively prototype innovative solutions to student-selected problems. This process will include creating prototypes in a variety of media, using the appropriate methods/tools, as well as exploring the processes and biases related to how people process information and make decisions. This type of work will help to guide the innovation process by gaining insights from testing prototypes and interacting with people to deepen one’s understanding of customer needs, market segments, costs of goods, competitor operations, and market strategies. At the conclusion of the course, students will pitch a viable design solution and business model for a validated problem to a variety of potential investors and/or stakeholders. Note: This class engages the material in both the classroom and innovation labs. Students of all levels of experience, will explore tools/programs related to computer aided design, 3D printing, app development, and digital prototyping.Credits: 3.00
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TECH 34099 - Professional Practice Seminar I
Credit Hours: 1.00. Optional co-op seminar course where students advance their professional development through sharing their work experiences and receiving feedback from the instructor and other co-op students. Seminar enrollment is intended to occur in the first on-campus semester following a co-op work session. Typically offered Fall Spring Summer.Credits: 1.00
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TECH 35099 - Professional Practice Seminar II
Credit Hours: 1.00. Optional co-op seminar course where students advance their professional development through sharing their work experiences and receiving feedback from the instructor and other co-op students. Seminar enrollment is intended to occur in the first on-campus semester following a co-op work session. Typically offered Fall Spring Summer.Credits: 1.00
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TECH 36099 - Professional Practice Seminar III
Credit Hours: 1.00. Optional co-op seminar course where students advance their professional development through sharing their work experiences and receiving feedback from the instructor and other co-op students. Seminar enrollment is intended to occur in the first on-campus semester following a co-op work session. Typically offered Fall Spring Summer.Credits: 1.00
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TECH 38199 - Professional Practice Co-Op I
Credit Hours: 0.00. Professional practice with qualified employers within industry, government, or small business. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 0.00
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TECH 38299 - Professional Practice Co-Op II
Credit Hours: 0.00. Professional practice with qualified employers within industry, government, or small business. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 0.00
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TECH 38399 - Professional Practice Co-Op III
Credit Hours: 0.00. Professional practice with qualified employers within industry, government, or small business. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 0.00
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TECH 39399 - Cooperative Experience III
Credit Hours: 0.00. Professional practice with qualified employers within industry, government, or small business. Permission of instructor required.Credits: 0.00
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TECH 39499 - Extensive Cooperative Experience IV
Credit Hours: 0.00. Professional practice with qualified employers within industry, government, or small business. Permission of instructor required.Credits: 0.00
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TECH 39599 - Extensive Cooperative Experience V
Credit Hours: 0.00. Professional practice with qualified employers within industry, government, or small business. Permission of instructor required.Credits: 0.00
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TECH 39699 - Professional Practice Internship
Credit Hours: 0.00 to 3.00. Professional practice with qualified employers within industry, government, or small business. Permission of instructor required.Credits: 0.00 to 3.00
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TECH 39900 - Special Topics In Technology III
Credit Hours: 1.00 to 3.00. Hours, subject matter, and credit to be arranged by faculty. Group instruction in new or specialty areas of technology provided by technology faculty. Typically offered Fall Spring Summer.Credits: 1.00 to 3.00
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TECH 40000 - Technology Study Abroad
Credit Hours: 1.00 to 8.00. This course is utilized to record credits earned through participation in Purdue study abroad programs. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 1.00 to 8.00
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TECH 43099 - Professional Practice Extensive Seminar V
Credit Hours: 2.00. Optional co-op seminar course where students advance their professional development through sharing their work experiences and receiving feedback from the instructor and other co-op students. Seminar enrollment is intended to occur in the first on-campus semester following a co-op work session. Typically offered Fall Spring Summer.Credits: 2.00
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TECH 49600 - Senior Design Project Proposal
Credit Hours: 1.00. Capstone problem identification and solution design course demonstrating synthesis of technical, professional, and general knowledge for senior engineering technology students. Proposal presentation is required. Typically offered Fall Spring Summer.Credits: 1.00
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TECH 49700 - Senior Design Project
Credit Hours: 2.00. Teams will develop innovative solutions based on proposal outcomes in TECH 49600 for current issues in the engineering technology profession, workplace, or community. Project deliverable, presentation, and written report are required.Credits: 2.00
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TECH 49900 - Special Topics In Technology IV
Credit Hours: 1.00 to 3.00. Hours, subject matter, and credit to be arranged by faculty. Group instruction in new or specialty areas of technology provided by technology faculty. Typically offered Fall Spring Summer.Credits: 1.00 to 3.00
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TECH 52200 - Sustainability Foundations
Credit Hours: 3.00. Emphasis is placed on definitions of sustainability for corporate, governmental and non-governmental organizations, as well as the frameworks used for developing and implementing sustainability programs. Areas of emphasis in environmental, economic, social, and energy sustainability are explored along with policy and regulations that apply to decision-making. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 3.00
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TECH 52300 - Sustainable Critical Infrastructures
Credit Hours: 3.00. This is an applied sustainability course that explores critical infrastructures needed for sustainability efforts, and explores several industrial segments in-depth including supply chain and energy. Frameworks for evaluating benefits versus risks will be introduced as well as metrics for evaluating. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 3.00
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TECH 52400 - Sustainability Analysis Assessment
Credit Hours: 3.00. Applied research project where students conduct a sustainability project under instructor guidance. Emphasis is on new developments relating to technical and operational aspects of sustainability as it applied in industry using triple bottom line evaluations. This course emphasizes a holistic approach to sustainability that includes environmental, economic, and social aspects as well as the impact of policy, standards and regulations on decision-making for sustainability. Permission of instructor required. Typically offered Fall Spring Summer.Credits: 3.00
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