 | Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course. The Schedule Type links will be available only when the schedule of classes is available for the selected term. |
| STAT 11300 - Statistics And Society |
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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 Fall Spring Summer.
0.000 OR 3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Individual Study, Lecture, Recitation All Sections for this Course Offered By: College of Science Department: Statistics Course Attributes: Dept Credit, Lower Division, GTC-Information Literacy, GTC-Science, Tech & Society, UC-Information Literacy, UC-Science, Tech & Society May be offered at any of the following campuses: IUPUI Northwest- Westville West Lafayette Columbus Indianapolis |
| STAT 12500 - Communicating With Statistics |
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Credit Hours: 3.00. An introduction to the basic concepts and methods in statistical reasoning that are commonly referenced in the print media. Topics include data collection methods, descriptive statistics, basic techniques of estimation, and theory testing. Students will analyze and interpret statistics relating to contemporary problems in politics, business, science and social issues. Typically offered Fall Spring Summer.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Lower Division May be offered at any of the following campuses: PU Fort Wayne |
| STAT 13000 - Statistics And Contemporary Life |
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Credit Hours: 3.00. Introduction to statistical ideas and their impact on various aspects of modern life. Topics will include the organization, manipulation, and understanding of numerical data, the art of data presentation, interpretation of statistical information as presented in the media, the concept of randomness in gambling and lotteries, and some discusson of statistical fallacies. Typically offered Fall Spring Summer.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Lower Division, GTC-Science, Tech & Society, UC-Science, Tech & Society May be offered at any of the following campuses: Northwest- Hammond |
| STAT 17000 - Introduction To Actuarial Science |
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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.
0.000 OR 2.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Laboratory, Lecture All Sections for this Course Offered By: College of Science Department: Statistics Course Attributes: Lower Division May be offered at any of the following campuses: West Lafayette |
| STAT 18300 - Cooperative Work Experience I |
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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.
0.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Experiential Offered By: College of Science Department: Statistics Course Attributes: Coop, Full-Time Privileges, Lower Division May be offered at any of the following campuses: West Lafayette |
| STAT 18400 - Cooperative Work Experience II |
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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.
0.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Experiential Offered By: College of Science Department: Statistics Course Attributes: Coop, Full-Time Privileges, Lower Division May be offered at any of the following campuses: West Lafayette |
| STAT 19000 - Topics In Statistics For Undergraduates |
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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 Fall Spring Summer.
1.000 TO 5.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Individual Study, Lecture Offered By: College of Science Department: Statistics Course Attributes: Lower Division, Variable Title May be offered at any of the following campuses: IUPUI West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT 21300 - Problem And Decision Theory |
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Credit Hours: 3.00. Basic set theory, elementary probability theory, discrete probability models, finite Markov chains. Applications to problems in the management and social sciences. Typically offered Fall Spring.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Credit By Exam, Lower Division May be offered at any of the following campuses: Northwest- Westville |
| STAT 22500 - Introduction To Probability Models |
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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, 31100, or 41600. Typically offered Fall Spring Summer.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture All Sections for this Course Offered By: College of Science Department: Statistics Course Attributes: Lower Division May be offered at any of the following campuses: Northwest- Westville West Lafayette |
| STAT 24000 - Statistical Methods For Biology |
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Credit Hours: 3.00. An introduction to the basic concepts and methods in a statistical analysis, with emphasis on applications in the life sciences. Descriptive statistics, discrete and continuous distributions, confidence interval estimation, hypothesis testing, and contingency tables. Typically offered Spring.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Credit By Exam, Lower Division May be offered at any of the following campuses: PU Fort Wayne |
| STAT 25000 - Problems Solving In Probability |
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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/STAT 41600 is strongly recommended. Typically offered Fall Spring.
2.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: College of Science Department: Statistics Course Attributes: Lower Division May be offered at any of the following campuses: West Lafayette |
| STAT 28400 - Cooperative Work Experience III |
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Credit Hours: 0.00. Cooperative Work Experience. Typically offered Fall Spring Summer.
0.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Experiential Offered By: College of Science Department: Statistics Course Attributes: Coop, Full-Time Privileges, Lower Division May be offered at any of the following campuses: West Lafayette |
| STAT 29000 - Topics In Statistics For Undergraduates |
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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 Fall Spring Summer.
1.000 TO 5.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Individual Study, Lecture Offered By: College of Science Department: Statistics Course Attributes: Lower Division, Variable Title May be offered at any of the following campuses: IUPUI West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT 30100 - Elementary Statistical Methods |
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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, 35000, 43300 50100, 50300, and 51100. Prerequisite: college algebra. Typically offered Fall Spring Summer.
0.000 OR 3.000 Credit hours Syllabus Available Levels: Indiana College Network, Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Individual Study, Laboratory, Lecture, Practice Study Observation, Recitation All Sections for this Course Offered By: College of Science Department: Statistics Course Attributes: GTC-Information Literacy, UC-Information Literacy, Upper Division May be offered at any of the following campuses: West Lafayette Continuing Ed Indiana College Network PU Fort Wayne IUPUI Northwest- Westville Northwest- Hammond West Lafayette Anderson Columbus Indianapolis Kokomo Lafayette New Albany Richmond South Bend Learning Outcomes: 1. Students will be introduced to statistical methods and be able to apply them to multiple fields of study. 2. Students will be able to understand, interpret standard statistical techniques, analyze data for one variable and for several variables, calculate and use confidence intervals and significance test for means and proportions, understand the design of samples and experiments, perform and understand basic probability calculations, perform simple and multiple regression procedures, and understand correlation. |
| STAT 30200 - Elementary Statistical Methods II |
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Credit Hours: 3.00. Continuation of STAT 30100 Multiple regression and analysis of variance, with emphasis on statistical inference and applications to various fields. Typically offered Fall Spring Summer.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Individual Study, Lecture Offered By: Regional Campus Only Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI Northwest- Westville |
| STAT 31000 - Health Care Statistics |
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Credit Hours: 3.00. Designed for nursing and health studies students. This introductory statistics course focuses on quantitative research design, methods and analyses used in health-care research. The students will be introduced to basic techniques of data organization and will be familiar with the common statistical analysis techniques encountered in nursing research literature. Topics include: healthcare statistical terminology, descriptive statistics, probability, correlation, regression, hypothesis testing and model building. Selected nonparametric techniques will be discussed. Typically offered Fall Spring Summer.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Westville Learning Outcomes: 1. Demonstrate a working knowledge of statistical analyses. 2. Perform statistical analyses using a statistical software package and/or graphing calculator. |
| STAT 31100 - Introductory Probability |
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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 41600. Prerequisite: two semesters of college calculus. Typically offered Spring.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI Northwest- Westville West Lafayette |
| STAT 33001 - Biostatistics |
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Credit Hours: 3.00. This course covers the fundamental concepts of statistical methods and their application to biology. The following topics will be included: experimental and sampling designs; descriptive statistics; basic probability or probability distribution; test of hypothesis; one-way analysis of variance; linear regression. Emphasis will be placed on the collection, organization, analysis and interpretation of data from biological experiments and observations. Typically offered Fall Spring Summer.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Hammond Learning Outcomes: 1. Display given data by creating appropriate charts, tables, graphs, etc. 2. Determine all pertinent measures for a given data set. 3. Determine the correct probability or probability distribution function. 4. Apply central limit theorem. 5. Determine a confidence interval for population parameters. 6. Perform hypothesis testing for unknown population parameters. 7. Fit a linear regression model and explore it for prediction and decision making. |
| STAT 34000 - Elementary Statistical Methods II |
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Credit Hours: 3.00. Statistical methods of simple linear regression, multiple linear regression, experimental design, analysis of variance, and nonparametric analysis. One or more statistical computer programs will be used. Student projects required, typically using data from the student's major. Typically offered Fall.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Upper Division May be offered at any of the following campuses: PU Fort Wayne |
| STAT 34500 - Statistics |
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Credit Hours: 3.00. Topics from exploratory data analysis and inferential statistics will be covered, along with a necessary introduction to probability. Statistical and probabilistic simulations will be used to enhance students' understanding of randomness and variation. Extensive use of a statistical computer package will be required. Typically offered Fall Spring Summer.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: GTC-Information Literacy, UC-Information Literacy, Upper Division May be offered at any of the following campuses: Northwest- Hammond |
| STAT 35000 - Introduction To Statistics |
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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, 50100, 50300, and 511000. Prerequisite: two semesters of college calculus. Typically offered Fall Spring.
0.000 OR 3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Individual Study, Lecture, Practice Study Observation, Recitation All Sections for this Course Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI Northwest- Westville West Lafayette Indianapolis |
| STAT 36100 - Applied Regression Analysis |
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Credit Hours: 3.00. Simple linear regression, multiple linear regression, nonlinear regression, generalized linear models and correlation analysis are covered. Statistical computer programs are used. Typically offered Fall Spring.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Westville |
| STAT 36200 - Experimental Designs |
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Credit Hours: 3.00. Single-factor analysis of variance (ANOVA), multifactor ANOVA, randomized block designs, nested designs, repeated measures, latin square and response surface methodology are covered. Statistical computer programs are used. Typically offered Fall Spring.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Westville |
| STAT 36300 - Sampling Techniques |
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Credit Hours: 3.00. Simple probability samples, ratio and regression estimation, stratified sampling, cluster sampling with equal probabilities, sampling with unequal probabilities, complex surveys, dealing with non-response. This course teaches statistical ideas that are useful in understanding and designing research in most areas of study, particularly for students in business, the social or behavioral sciences, communication and education. Statistical computer programs are used. Typically offered Fall Spring.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Westville |
| STAT 37100 - Problem-Solving Calculus And Probability |
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Credit Hours: 2.00. This course is intended to help actuarial students prepare for the new Actuarial Exam I. The course provides a review of theory and applications of probability and calculus. Typically offered Fall Spring.
2.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI |
| STAT 38600 - Cooperative Work Experience IV |
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Credit Hours: 0.00. Cooperative Work Experience. Typically offered Fall Spring Summer.
0.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Experiential Offered By: College of Science Department: Statistics Course Attributes: Coop, Full-Time Privileges, Upper Division May be offered at any of the following campuses: West Lafayette |
| STAT 39000 - Topics In Statistics For Undergraduates |
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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.
1.000 TO 5.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Individual Study, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division, Variable Title May be offered at any of the following campuses: IUPUI West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT 40001 - Statistical Computing |
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Credit Hours: 3.00. The purpose of this course is to teach fundamental computing skills required by practicing statisticians. Students will use statistical software for analysis and model building of real world data. Topics include descriptive statistics, inferential statistics, model building, designing and performing simulation experiments, writing codes to perform common statistical tasks. Typically offered Fall Spring Summer.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Hammond Learning Outcomes: 1. Design and perform simulations based on data. 2. Develop a statistical model from data. 3. Use statistical software to analyze data. |
| STAT 41400 - Introduction To Design Of Experiments |
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Credit Hours: 3.00. The course offers comprehensive coverage of the key elements of experimental design used by applied researchers to solve problems in the field. It shows students how to use applied statistics for planning, running, and analyzing experiments. The emphasis is placed on the basic philosophy of design. The course requires the use of the software such as SAS, Minitab or R. Typically offered Spring.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI Learning Outcomes: 1. Understand and implement the theory of design of experiments and analysis of variance, blocking for design, randomization, and factorial experiments. 2. Able to use software to perform analysis of variance and linear regression. |
| STAT 41600 - Probability |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI West Lafayette |
| STAT 41700 - Statistical Theory |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI West Lafayette |
| STAT 42000 - Introduction To Time Series |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette |
| STAT 42100 - Modern Statistical Modeling Using R And SAS |
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Credit Hours: 3.00. An introductory course on statistical computation. The primary goals of this course are (i) to introduce popular statistical software SAS and R and to develop basic data analysis skills, and (ii) to introduce basic statistical computation methods used in applications. Typically offered Spring.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI Learning Outcomes: 1. Understand how SAS data step processes observations, be able to use SAS and R to read and write data, to preform descriptive analyses, to graphically display data distributions, to preform simple statistical analysis such as chi-square test, ANOVA, and regression. 2. Ability to program in SAS data step, write simple SAS macros, do matrix calculations in proc iml, and to write user-defined modules in SAS. 3. Ability to program in R and write user-defined R functions. 4. Solve non-linear equations using numerical methods such as bisection, newton's method, secant method and fixed point iteration, to optimize uni-variable and multi-variable functions using user-defined and build-in R functions, to use numerical method to find MLE, to simulate random variables, and to implement bootstrap method. |
| STAT 43200 - Introduction To Stochastic Processes And Probability Modeling |
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Credit Hours: 3.00. This course builds on elementary probability theory and introduces stochastic processes applied to the study of phenomena in the fields such as engineering, computer science, management science, the life, physical and social sciences, and operations research. The approach is heuristic and non-rigorous. But it develops students' intuitive feel for the subject and enables them to think probabilistically. Computation is emphasized and requires use of software such as Excel. MINITAB and R. Typically offered Fall.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI Learning Outcomes: 1. Understand how to use theory principles to study the evolution of a random phenomenon observed over a set of discrete time epochs or over a continuous time interval. 2. Ability to recognize the occurrence of such phenomena in many different fields of study such as engineering, computer science, management science, the life, physical and social sciences, and operations research. 3. Develop an intuitive feel for the subject and be able to think probabilistically. 4. Learn how to use software such as Excel, MINITAB and R to carry out the relevant computations. |
| STAT 43301 - Introduction To Nonparametric Statistics |
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Credit Hours: 3.00. The course acquaints students with rank-based, permutation-based and resampling-based methods of statistical analysis used in widely applicable settings where the data do not follow parametric models. It extends techniques taught in STAT 35000/STAT 51100, where the normal theory is assumed, to situations where the normal theory does not hold. It includes computer projects which use statistical software such as R and SAS. Typically offered Fall.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI Learning Outcomes: 1. Distinguish situations when nonparametric methods apply from those when normal theory methods apply. 2. Become familiar with rank-based, permutation-based and resampling-based methods of statistical analysis that are used in a wide variety of settings. 3. Learn the principles of deriving and/or simulating sampling distributions of test statistic under fewer assumptions. 4. Learn rigorous proofs of a few commonly used nonparametric methods. 5. Learn how to use statistical software such as R and SAS to carry out relevant computations to determine power and sample size. |
| STAT 46500 - Case Studies In Statistical Methods |
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Credit Hours: 3.00. A variety of different statistical methods are applied to data sets in a number of different fields. Statistical methods covered include applied regression analysis, experimental design, sampling, time series, categorical data analysis and applied multivariate analysis. This course provides a summary of how statistical ideas are useful in understanding and designing research in many areas of study. Each student investigates and reports on six case study projects. Statistical computer programs are used. Typically offered Fall Spring.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Westville |
| STAT 47200 - Actuarial Models |
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Credit Hours: 3.00. Mathematical foundations of actuarial science, emphasizing probability models for life contingencies as the basis for analyzing life insurance and life annuities and determining premiums. This course, together with its sequel, STAT 47300, provides the background for Course 3 of the Society of Actuaries and the Casualty Actuarial Society. Typically offered Fall.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI |
| STAT 47201 - Actuarial Models-Life Contingencies |
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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.
4.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Learning Outcomes: 1. Understand and use decrement models in conjunction with interest rate models to evaluate insurance, annuities, and investments. 2. Apply models to calculate actuarial values, gross and net premiums, and benefit and expense reserves. Among the decrement models learned will be standard mortality, models, static mortality table models, and continuous time Markov chains in both a single decrement and multiple decrement environment. |
| STAT 47300 - Actuarial Models II |
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Credit Hours: 3.00. Continuation of STAT 47200. Together, these courses cover contingent payment models, survival models, frequency and severity models, compound distribution models, stochastic process models, and ruin models. Typically offered Spring.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI |
| STAT 47301 - Introduction To Arbitrage-Free Pricing Of Financial Derivatives |
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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.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Learning Outcomes: 1. The students will be able to use arbitrage-free option pricing in the binomial market model and the Black-Scholes model. 2. The students will be able to adapt the binomial setting to computing exotic and path-dependent option prices, including the determination of optimal exercise. 3. The students will be able to follow marking-to-market strategies for approximate discrete delta hedging. |
| STAT 47900 - Loss Models |
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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.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI West Lafayette Learning Outcomes: 1. Understand the steps involved in the modeling process and how to carry out these steps in solving business problems. 2. Analyze data from an application in a business context. 3. Determine a suitable model including parameter values. 4 . Provide measures of confidence for decisions based upon the model. |
| STAT 48000 - Credibility And Simulation |
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Credit Hours: 3.00. A continuation of the material covered in STAT 47900, including Credibility Theory and Simulation calibration and evaluation of the models. Typically offered Spring.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI Learning Outcomes: 1. Learn to perform Bayesian analysis using both discrete and continuous models. 2. Apply conjugate priors In Bayesian analysis (and in particularly the Poisson-Gamma model). 3. Simulate both discrete and continuous random variables using the inversion method, estimate the number of simulations needed to obtain an estimate with a given error and a given degree of confidence, and apply simulation methods within the context of actuarial models. 4. Complete both courses STAT 47900/STAT 48000 to learn all of the material for Exam C/4 of the SOA/CAS in prepartion for taking this exam. |
| STAT 48700 - Cooperative Work Experience V |
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Credit Hours: 0.00. Cooperative Work Experience. Typically offered Fall Spring Summer.
0.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Experiential Offered By: College of Science Department: Statistics Course Attributes: Coop, Full-Time Privileges, Upper Division May be offered at any of the following campuses: West Lafayette |
| STAT 49000 - Topics In Statistics For Undergraduates |
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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.
0.000 TO 5.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Individual Study, Lecture 1, Lecture, Practice Study Observation All Sections for this Course Offered By: College of Science Department: Statistics Course Attributes: Upper Division, Variable Title May be offered at any of the following campuses: PU Fort Wayne IUPUI Northwest- Hammond West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT 50100 - Experimental Statistics I |
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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, 35000, 43300, 50100, 50300, or 51100. Prerequisite: College Algebra. Typically offered Fall Spring Summer.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Westville Northwest- Hammond West Lafayette Learning Outcomes: |
| STAT 50200 - Experimental Statistics II |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture, Practice Study Observation Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Hammond West Lafayette |
| STAT 50300 - Statistical Methods For Biology |
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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, 35000, 43300, 50100, 50300, or 51100. Typically offered Fall Spring Summer.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture All Sections for this Course Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Continuing Ed Northwest- Westville West Lafayette Learning Outcomes: 1. Students will be able to identify and choose appropriate ways to graphically and numerically summarize data. 2. Students will be able to use basic statistical methods to perform statistical inference and draw appropriate conclusions. 3. Students will understand the mathematical foundations of statistical inference for random samples so that they can study and utilize additional statistical methods. |
| STAT 50600 - Statistical Programming And Data Management |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Continuing Ed West Lafayette |
| STAT 51100 - Statistical Methods |
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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, 35000, 43300, 50100, 50300, or 51100. Prerequisite: Two semesters of college calculus. Typically offered Fall Spring.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Continuing Ed PU Fort Wayne IUPUI Northwest- Westville Northwest- Hammond West Lafayette |
| STAT 51200 - Applied Regression Analysis |
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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.
0.000 OR 3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Individual Study, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Continuing Ed PU Fort Wayne IUPUI Northwest- Hammond West Lafayette Learning Outcomes: 1. Learn to build and analyze simple and multiple regression models, analysis of variance and covariance (ANOVA/ANCOVA) for regression, inference for regression, diagnostics and remedial measures for regression, transformations, residual analysis, model building, polynomial and interaction models. |
| STAT 51300 - Statistical Quality Control |
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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 Spring.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture All Sections for this Course Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Continuing Ed IUPUI Northwest- Hammond West Lafayette Learning Outcomes: 1. Acquire fluency in the language and techniques of modem quality control and its applications. 2. Conceptually understand the utility of statistics for quality control. 3. Apply control charts and experimental design techniques to solve real-life quality control problems. 4. Utilize appropriate Statistical software for statistical computation, visualization, control chart construction, and design of experiments. 5. Discuss what is learned in lecture and assignments through oral and written presentations. |
| STAT 51400 - Design Of Experiments |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Continuing Ed PU Fort Wayne IUPUI West Lafayette |
| STAT 51500 - Statistical Consulting Problem |
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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.
1.000 TO 3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Experiential, Individual Study, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI Northwest- Westville West Lafayette Repeatable for Additional Credit: Yes - May be repeated for a maximum of 7 credits |
| STAT 51600 - Basic Probability And Applications |
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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.
3.000 Credit hours Levels: Indiana College Network, Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture All Sections for this Course Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Continuing Ed Indiana College Network PU Fort Wayne IUPUI West Lafayette |
| STAT 51700 - Statistical Inference |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Continuing Ed PU Fort Wayne IUPUI West Lafayette |
| STAT 51900 - Introduction To Probability |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: PU Fort Wayne IUPUI Northwest- Hammond West Lafayette |
| STAT 52000 - Time Series And Applications |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: PU Fort Wayne IUPUI West Lafayette |
| STAT 52100 - Introduction To Statistical Computing |
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Credit Hours: 3.00. The course demonstrates how computing can be used to understand the performance of core statistical methods and introduces modern statistical methods that require computing in their application. Covers relevant programming fundamentals in at least two programming environments (e.g. SAS and R/Splus). Typically offered Fall Spring.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI Learning Outcomes: 1. The focus of the course is on learning computing in two entirely different programming environments, namely SAS and R/Splus. |
| STAT 52200 - Sampling And Survey Techniques |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Continuing Ed IUPUI West Lafayette |
| STAT 52300 - Categorical Data Analysis |
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Credit Hours: 3.00. Models generating binary and categorical response data, two-way classification tables, measures of association and agreement, goodness-of-fit tests, testing independence, large sample properties. General linear models, logistic regression, probit and extreme value models. Loglinear models in two and higher dimensions; maximum likelihood estimation, testing goodness-of-fit, partitioning chi-square, models for ordinal data. Model building, selection, and diagnostics. Computer applications using existing statistical software. Typically offered Summer Fall Spring.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI May be offered at any of the following campuses: IUPUI |
| STAT 52400 - Applied Multivariate Analysis |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI West Lafayette |
| STAT 52500 - Intermediate Statistical Methodology |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI West Lafayette |
| STAT 52501 - Generalized Linear Models |
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Credit Hours: 3.00. Generalized linear models, likelihood methods for data analysis, and diagnostic methods for assessing model assumptions. Methods covered include: multiple regression, analysis of variance for completely randomized designs, binary and categorical response models, and hierarchical log-linear models for contingency tables. Typically offered Fall.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI Learning Outcomes: 1. Have knowledge of the relationship between the usual linear regression models and generalized linear models. 2. Understand the need of the extension from linear models to generalized linear models. 3. Be able to derive the quasi-likelihood and generalized estimating equations as well as criteria for specific models. 4. Understand AIC and BIC and their relationships. |
| STAT 52600 - Advanced Statistical Methodology |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette |
| STAT 52800 - Introduction To Mathematical Statistics |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: PU Fort Wayne IUPUI West Lafayette |
| STAT 52900 - Applied Decision Theory And Bayesian Statistics |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI West Lafayette |
| STAT 53200 - Elements Of Stochastic Processes |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI West Lafayette |
| STAT 53300 - Applied Nonparametric Statistics |
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Credit Hours: 3.00. Binomial test for dichotomous data, confidence intervals for proportions, one-sample signed Wilcoxon Rank test, 2-sample Wilcoxon test, 2-sample Rank tests for dispersion, Kruskal-Wallis test for one-way layout, Friedman Rank test for 2-way layout. Kendall distribution-free test for independence, one and two sample Kolmogorov-Smirnov tests, nonparametric regression. Typically offered Summer Fall Spring.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI May be offered at any of the following campuses: IUPUI |
| STAT 53600 - Introduction To Survival Analysis |
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Credit Hours: 3.00. Deals with the modern statistical methods for analyzing time-to-event data. Background theory is provided, but emphasis is on applications and interpretations of results. Provides coverage of survivorship functions and censoring patterns; parametric models and likelihood methods, special life-time distributions; nonparametric inference, life-tables, estimation of cumulative hazard functions, the Kaplan-Meier estimator; one and two-sample nonparametric tests for censored data; semiparametric proportional hazards regression (Cox Regression), parameters' estimation, stratification, model fitting strategies, and model interpretations. Heavy use of statistical software, such as S-Plus and SAS. Typically offered Summer Fall Spring.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI May be offered at any of the following campuses: IUPUI |
| STAT 53800 - Probability Theory I |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette |
| STAT 53900 - Probability Theory II |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette |
| STAT 54000 - Mathematics Of Finance |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette |
| STAT 54100 - Advanced Probability And Options With Numerical Methods |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette |
| STAT 54500 - Introduction To Computational Statistics |
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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.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Learning Outcomes: 1. Given a straightforward data manipulation problem, decide on what elementary data structures to use, write down an algorithm for a solution as a pseudocode, and analyze its computational complexity. 2. Implement an algorithm using C and/or R code, understand, modify, and if needed perform basic debugging of the existing code. 3. Understand and implement the computational techniques of numerical optimization, matrix manipulation, sampling, logistic regression, and EM algorithm. |
| STAT 54600 - Computational Statistics |
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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.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Learning Outcomes: 1. Master commonly used numerical matrix operations, including the sweep operator, Cholesky decomposition, eigenvalue decomposition, and single value decomposition. 2. Understand statistical thinking in development of interactive numerical methods. 3. Apply optimization algorithms such as quasi-Newton and conjugate gradient methods. 4. Implement EM-type algorithms for maximum likelihood estimation when expanded complete-data models are available, including commonly used statistical models. 5. Create random number generators. 6. Implement the Gibbs sampler and Metropolis-Hastings algorithms for Bayesian data analysis. |
| STAT 54900 - An Introduction To QTL Mapping In Experimental Populations |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette |
| STAT 55300 - Theory Of Linear Models And Analysis Of Experimental Designs |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette |
| STAT 58000 - Application Of Statistical Theory |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette |
| STAT 58100 - Bioinformatics Seminar |
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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.
1.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT 58200 - Statistical Consulting And Collaboration |
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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.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Learning Outcomes: 1. Be aware of the skills necessary to be an effective statistical consultant/collaborator. These skills include consulting session management, written and oral communication with clients, interpreting facial and body language, handling personality conflicts, practicing sound research ethics, properly designing an experiment and determining an appropriate sample size, and choosing an appropriate statistical method whose analysis addresses the client's questions given the available data. 2. Know how to recognize problematic issues in the consulting/collaboration process and implement various strategies to address them. |
| STAT 59000 - Internship Seminar |
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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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Experiential Offered By: College of Science Department: Statistics Course Attributes: Full-Time Privileges, Internship, Upper Division May be offered at any of the following campuses: West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT 59700 - Statistical Consulting Seminar |
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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.
1.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Individual Study, Lecture Offered By: College of Science Department: Statistics Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Westville West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT 59800 - Topics In Statistical Methods |
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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.
0.000 TO 6.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Individual Study, Lecture 1, Lecture, Presentation, Practice Study Observation All Sections for this Course Offered By: College of Science Department: Statistics Course Attributes: Upper Division, Variable Title May be offered at any of the following campuses: IUPUI Northwest- Westville West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT 61900 - Probability Theory |
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Credit Hours: 3.00. Probability Theory is the foundation of statistical methodologies, which is fundamental in the practice of science. From this course students will get precise mathematical understanding of probabilities and sigma-algebras, random weak convergence, characteristic functions, the central limit theorem, Lebesgue decomposition, conditioning. Prerequisite: STAT 51900. Typically offered Spring.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI May be offered at any of the following campuses: IUPUI Learning Outcomes: 1.Have a precise mathematical understanding of probabilities and sigma-algebras; random variable, distributions, and expected values; Inequalities and laws of large numbers; weak convergence, characteristic functions, the central limit theorem, Lebesgue decomposition, conditioning. 2.The level of the course is mathematically rigorous based on measure theoretic probability, but without the unnecessary intricacies of a purely measure theoretic development suitable for a Ph.D. program in Mathematics/Statistics. 3.Studnets will become familiar with the foundational principles that justify statistical methodologies. |
| STAT 62800 - Advanced Statistical Inference |
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Credit Hours: 3.00. This course will cover basic measure theory and probability, statistics and subfields, conditional expectations and probability distributions, asymptotic theory of estimation and likelihood based inference, optimal statistical tests, confidence sets and U-statistics. Other topics that might be covered include invariance, Edgeworth expansions, and saddle point method. Prerequisites: STAT 51900, STAT 52800, STAT 61900 concurrently. Typically offered Fall.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI May be offered at any of the following campuses: IUPUI Learning Outcomes: 1. The students are expected to be familiar with commonly used distributions. 2. Understand and be able to apply the asymptotic theorems to study the asymptotic properties of estimators. 3. Be able to compute MLE's in numerical methods. 4. Understand the concepts of efficient estimators, be able to construct efficient estimates, and know how to estimate densities. 5. Understand and be able to apply optimal tests, understand the concept of robust statistics, understand U-Statistics and able to apply them to derive asymptotic distributions of U-statistics. |
| STAT 63800 - Stochastic Processes I |
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Credit Hours: 3.00. (MA 638) 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.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics May be offered at any of the following campuses: West Lafayette |
| STAT 63900 - Stochastic Processes II |
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Credit Hours: 3.00. (MA 63900) Continuation of STAT 63800. Typically offered Fall.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics May be offered at any of the following campuses: West Lafayette |
| STAT 66700 - Measure-Theoretic Statistics: Decision Theoretic And Classical |
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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, 53900, 57600. Typically offered Fall.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Statistics May be offered at any of the following campuses: West Lafayette |
| STAT 69000 - Seminar |
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Credit Hours: 1.00 to 3.00. Topics vary. Permission of instructor required. Typically offered Fall Spring Summer.
1.000 TO 3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Individual Study, Lecture, Practice Study Observation Offered By: College of Science Department: Statistics Course Attributes: Variable Title May be offered at any of the following campuses: West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT 69100 - Seminar In Probability Theory |
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Credit Hours: 1.00 to 3.00. Topics vary. Permission of instructor required. Typically offered Fall Spring Summer.
1.000 TO 3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Individual Study, Lecture, Presentation Offered By: College of Science Department: Statistics Course Attributes: Variable Title May be offered at any of the following campuses: West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT 69200 - Statistics Seminar |
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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.
0.000 OR 1.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture, Practice Study Observation All Sections for this Course Offered By: College of Science Department: Statistics May be offered at any of the following campuses: West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT 69500 - Seminar In Mathematical Statistics |
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Credit Hours: 1.00 to 3.00. Topics vary. Permission of instructor required. Typically offered Fall Spring Summer.
1.000 TO 3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Individual Study, Lecture Offered By: College of Science Department: Statistics Course Attributes: Variable Title May be offered at any of the following campuses: West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT 69800 - Research MS Thesis |
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Credit Hours: 1.00 to 18.00. Research MS Thesis. Permission of instructor required. Typically offered Fall Spring Summer.
1.000 TO 18.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Research Offered By: College of Science Department: Statistics May be offered at any of the following campuses: IUPUI West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT 69900 - Research PhD Thesis |
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Credit Hours: 1.00 to 18.00. Research PhD Thesis. Permission of instructor required. Typically offered Fall Spring Summer.
1.000 TO 18.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Research Offered By: College of Science Department: Statistics May be offered at any of the following campuses: West Lafayette Repeatable for Additional Credit: Yes - May be repeated an unlimited number of times |
| STAT N5010 - Statistical Methods For Health Sciences |
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Credit Hours: 3.00. An introductory statistical methods course, with emphasis on applications in the health sciences. Topics include descriptive statistics, probability distributions, sampling distributions, confidence interval estimation, hypothesis testing, analysis of variance, linear regression, goodness-of-fit tests, and contingency tables. Credit cannot be given for more than one of STAT 30100, 35000, or STAT N5010. Typically offered Fall Spring.
3.000 Credit hours Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI |
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