Statistics (STAT) Courses. Statistics (STAT) 1

Transcription

1 Statistics (STAT) 1 Statistics (STAT) Courses STAT Statistics in the News. 4 Credit Hours. Through discussion of approximately 50 news articles, learn basic principles of statistics. This course focuses on the relevance, interpretation and usage of statistics in the news media. It has no quantitative prerequisites and involves more reading than math aptitude. Statistics deals with the study of variability, uncertainty, and decision-making, and has applicability to most other disciplines and everyday life. NOTE: This course fulfills the Quantitative Literacy (GQ) requirement for students under GenEd and a Quantitative Reasoning (QA or QB) requirement for students under Core. Course Attributes: GQ STAT Statistical Reasoning & Games of Chance. 4 Credit Hours. This is a beginning course in probability and statistics with special emphasis on the critical analysis of games of chance. The objectives of the course are to introduce several quantitative concepts with real-life applications. These applications are related to situations that involve fallacies in reasoning, equity markets and games of chance. NOTE: This course fulfills the Quantitative Literacy (GQ) requirement for students under GenEd and a Quantitative Reasoning (QA or QB) requirement for students under Core. Course Attributes: GQ STAT Quantitative Methods for Business I. 3 Credit Hours. Fundamentals of mathematics and Excel are necessary for a student to pursue their degree at the Fox School of Business and Management. Topics and illustrations are specifically directed to applications in business and economics throughout this course. The overarching theme of this class is to solidify foundational quantitative and Excel skills and use those skills to solve relevant business applications. Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Business Basics, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, Horticulture, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Pre Business, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Undeclared-Business & Mngt, Undeclared-University Studies. Course Attributes: QA MATH 0701 to 0702 Required Courses:1 Minimum Grade of C- May not be taken concurrently OR STA1 Y May not be taken concurrently OR STA2 Y May not be taken concurrently OR MATH 1011 Minimum Grade of C- May not be taken concurrently OR MATH 1021 Minimum Grade of C- May not be taken concurrently OR ST1A Y May not be taken concurrently OR ST2A Y May not be taken concurrently.

2 2 Statistics (STAT) STAT Quantitative Methods for Business II. 4 Credit Hours. Fundamentals of mathematics and Excel are necessary for a student to pursue their degree at the Fox School of Business and Management. Topics and illustrations are specifically directed to applications in business and economics throughout this course. The overarching theme of this class is to prepare students to be proficient in areas of quantitative analysis, and to use those skills to solve relevant business applications. The course will also include broader and deeper applications of the topics from STAT Excel will be used to reinforce topics and present solutions. Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Pre Business, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Undeclared-Business & Mngt, Undeclared-University Studies. Course Attributes: QB MATH 1022 Minimum Grade of C- May not be taken concurrently OR STAT 1001 Minimum Grade of C- May not be taken concurrently OR STA2 Y May not be taken concurrently OR STT2 Y May not be taken concurrently OR ST2A Y May not be taken concurrently. STAT Honors Quantitative Methods for Business II. 4 Credit Hours. Fundamentals of mathematics and Excel are necessary for a student to pursue their degree at the Fox School of Business and Management. Topics and illustrations are specifically directed to applications in business and economics throughout this course. The overarching theme of this class is to prepare students to be proficient in areas of quantitative analysis, and to use those skills to solve relevant business applications. The course will also include broader and deeper applications of the topics from STAT Excel will be used to reinforce topics and present solutions. Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Undeclared-Business & Mngt, Undeclared-University Studies. Cohort Restrictions: Must be enrolled in one of the following Cohorts: SCHONORS, UHONORS, UHONORSTR. Course Attributes: HO, QB MATH 1022 Minimum Grade of C- May not be taken concurrently OR STAT 1001 Minimum Grade of C- May not be taken concurrently OR STA2 Y May not be taken concurrently OR STT2 Y May not be taken concurrently OR ST2A Y May not be taken concurrently.

3 Statistics (STAT) 3 STAT Statistical Business Analytics. 4 Credit Hours. This course will cover the fundamentals of data description, data analysis, and graphical methods with applications to business problems. Topics include random variables, discrete and continuous distributions, estimation of parameters, and hypothesis testing. Students will gain proficiency in simple and multiple regression models and forecasting. Excel will be used for data analysis and to reinforce topics taught in class. Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Facilities Management, Actuarial Science, Business Management, Business, Construction Mgt Tech, Career and Technical Education, Economics, Entrprnrship & Innovation Mgt, Engineering, Engineering Technology, Entrepreneurship, Finance, Financial Planning, General Business Studies, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Pre Business, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt. (MATH 1022 Minimum Grade of C- May not be taken concurrently OR STAT 1001 Minimum Grade of C- May not be taken concurrently OR STA2 Y May not be taken concurrently OR STT2 Y May not be taken concurrently OR MATH 1021 Minimum Grade of C- May not be taken concurrently OR ST2A Y May not be taken concurrently) AND (STAT 1102 Minimum Grade of C- May not be taken concurrently OR STAT 1902 Minimum Grade of C- May not be taken concurrently OR MATH 1031 Minimum Grade of C- May not be taken concurrently OR MATH 1041 Minimum Grade of C- May not be taken concurrently OR MATH 1941 Minimum Grade of C- May not be taken concurrently OR MATH 1038 Minimum Grade of C- May not be taken concurrently OR STT3 Y May not be taken concurrently) STAT Selected Topics in Statistical Business Analytics. 1 Credit Hour. Statistics 2104 is a one credit hour course that covers probability rules, joint and conditional probability, inference, confidence intervals, hypothesis tests, two sample design, simple linear regression, inference for regression, and multiple regression. NOTE: This course is designed for transfer students who have successfully completed a 3 credit hour introductory statistics course. This one credit hour course will bridge the gap between a 3 credit hour introductory statistics course taken at another institution, and the 4 credit hour Statistics 2103 (Business Statistics) course at Fox. Prior to fall 2014, the title of STAT 2104 was "Selected Topics in Business Statistics." STAT 2101 Minimum Grade of C- May not be taken concurrently OR STAT 2901 Minimum Grade of C- May not be taken concurrently OR MATH 1013 Minimum Grade of C- May not be taken concurrently OR CEE 3048 Minimum Grade of C- May not be taken concurrently OR PSY 1167 Minimum Grade of C- May not be taken concurrently OR SOC 1167 Minimum Grade of C- May not be taken concurrently OR STAT 2512 Minimum Grade of C- May not be taken concurrently OR PSY 2168 Minimum Grade of C- May not be taken concurrently OR ECE 3522 Minimum Grade of C- May not be taken concurrently. STAT Quantitative Foundations for Data Science. 3 Credit Hours. This course will cover topics in linear algebra, matrix theory, advanced calculus, optimization and numerical techniques. This course will allow students to acquire knowledge necessary in understanding concepts in statistical theory and methods. Students will apply quantitative analysis, critical thinking and interpretation to real-life problems in diverse areas, like business, engineering, healthcare, etc. (MATH 1041 Minimum Grade of C May not be taken concurrently) AND (MATH 1042 Minimum Grade of C May not be taken concurrently)

4 4 Statistics (STAT) STAT Intermediate Statistics. 3 Credit Hours. This course covers the basics of statistical estimation theory, in preparation for further study in regression, time series analysis, and forecasting (as tested on the SOA/CAS Course 4 professional examination). Topics include: classical point estimation methods; construction of confidence intervals; tests of statistical hypotheses; and basic analysis of categorical data. NOTE: This course replaces the Statistics 2102 (0022) Business Core requirement for Actuarial Science majors. Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt. AS 2101 Minimum Grade of C- May not be taken concurrently OR MATH 3031 Minimum Grade of C- May not be taken concurrently OR STAT 2103 Minimum Grade of C- May not be taken concurrently OR STAT 2903 Minimum Grade of C- May not be taken concurrently OR STAT 2104 Minimum Grade of C- May not be taken concurrently. STAT Data Analysis and Statistical Computing. 3 Credit Hours. This course presents practical applications of statistical methods using software. The emphasis is on giving students experience in solving real life problems using appropriate statistical methods. Statistical techniques studied include organization and presentation of data, statistical testing, multiple regression, Chi-Square tests and logistic regression. Case studies and projects, with applications, are used to show the application of statistical methods to business problems. Through this course students should be able to select, utilize and apply quantitative statistical methods to real life problems, and get familiar with data analysis using statistical software. The main statistical software we use is SPSS. Students will also be exposed to other packages, such as Excel and R. Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, General Business Studies, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt. STAT 2103 Minimum Grade of C May not be taken concurrently OR STAT 2903 Minimum Grade of C May not be taken concurrently OR MATH 3031 Minimum Grade of C May not be taken concurrently OR STAT 2104 Minimum Grade of C May not be taken concurrently OR SOC 1167 Minimum Grade of C May not be taken concurrently OR CEE 3048 Minimum Grade of C May not be taken concurrently OR PSY 1167 Minimum Grade of C May not be taken concurrently OR PSY 2168 Minimum Grade of C May not be taken concurrently OR AS 2101 Minimum Grade of C May not be taken concurrently OR ECE 3522 Minimum Grade of C May not be taken concurrently OR SOC 0825 Minimum Grade of C May not be taken concurrently OR ANTH 0825 Minimum Grade of C May not be taken concurrently OR POLS 0825 Minimum Grade of C May not be taken concurrently OR PSY 0825 Minimum Grade of C May not be taken concurrently.

5 Statistics (STAT) 5 STAT Survey Design and Sampling. 3 Credit Hours. This course presents the principal applications of sample surveys, survey design, criteria of a good sample design, and characteristics of simple random sampling, stratified random sampling, and cluster sampling. Case studies are used where appropriate to illustrate applications of survey sampling. Emphasis will be placed on both the theory and methodology of surveying and include sampling principles, sample design, questionnaire construction, and response problems. Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, General Business Studies, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt. STAT 2103 Minimum Grade of C May not be taken concurrently OR STAT 2903 Minimum Grade of C May not be taken concurrently OR MATH 3031 Minimum Grade of C May not be taken concurrently OR STAT 2104 Minimum Grade of C May not be taken concurrently OR SOC 1167 Minimum Grade of C May not be taken concurrently OR CEE 3048 Minimum Grade of C May not be taken concurrently OR PSY 1167 Minimum Grade of C May not be taken concurrently OR PSY 2168 Minimum Grade of C May not be taken concurrently OR AS 2101 Minimum Grade of C May not be taken concurrently OR ECE 3522 Minimum Grade of C May not be taken concurrently OR SOC 0825 Minimum Grade of C May not be taken concurrently OR ANTH 0825 Minimum Grade of C May not be taken concurrently OR POLS 0825 Minimum Grade of C May not be taken concurrently OR PSY 0825 Minimum Grade of C May not be taken concurrently. STAT Design of Experiments and Quality Control. 3 Credit Hours. The first part of this course provides students with insight into statistically designed experiments and related topics. The course covers the fundamental statistical concepts required for designing efficient experiments to answer real questions. The fundamental concepts of replication, blocking, and randomization are examined. Topics covered include block designs, balanced incomplete block designs, and Latin Square designs. Additional topics include factorial experiments, fractional factorial designs, and orthogonal arrays. The course also introduces students to response surface methodology, mixture designs, and conjoint analysis. Quality improvement can be accomplished using experimental design principles. The second part of the course covers the core principles of the management of quality in the production of goods and services. Statistical quality control techniques are used in the implementation of these principles. Topics covered include control charts, cusum procedures, and Taguchi methods. Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, General Business Studies, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt. STAT 2103 Minimum Grade of C May not be taken concurrently OR STAT 2903 Minimum Grade of C May not be taken concurrently OR MATH 3031 Minimum Grade of C May not be taken concurrently OR STAT 2104 Minimum Grade of C May not be taken concurrently OR SOC 1167 Minimum Grade of C May not be taken concurrently OR CEE 3048 Minimum Grade of C May not be taken concurrently OR PSY 1167 Minimum Grade of C May not be taken concurrently OR PSY 2168 Minimum Grade of C May not be taken concurrently OR ECE 3522 Minimum Grade of C May not be taken concurrently OR SOC 0825 Minimum Grade of C May not be taken concurrently OR ANTH 0825 Minimum Grade of C May not be taken concurrently OR POLS 0825 Minimum Grade of C May not be taken concurrently OR PSY 0825 Minimum Grade of C May not be taken concurrently OR AS 2101 Minimum Grade of C May not be taken concurrently.

6 6 Statistics (STAT) STAT Honors Statistical Business Analytics. 4 Credit Hours. This course provides students with the fundamental concepts and tools needed to understand the role of statistics and business analytics in organizations. It covers basic descriptive statistics, probability, and statistical inference. Topics include probability distributions, random sampling and sampling distributions, point and interval estimation, and hypothesis testing. The course also covers hypothesis testing for several populations, correlation, simple linear regression, multiple regression, and an introduction to data mining. Use of Excel for data analysis and inference. NOTE: This course is a four credit hour course which will substitute for Statistics 2101 (C021) and 2102 (0022) for Fox School students. Prior to fall 2014, the title of STAT 2903 was "Honors Business Statistics." Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Facilities Management, Actuarial Science, Business Management, Business, Construction Mgt Tech, Career and Technical Education, Economics, Entrprnrship & Innovation Mgt, Engineering, Engineering Technology, Entrepreneurship, Finance, Financial Planning, General Business Studies, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt. Cohort Restrictions: Must be enrolled in one of the following Cohorts: SCHONORS, UHONORS, UHONORSTR. Course Attributes: HO (MATH 1022 Minimum Grade of C- May not be taken concurrently OR STAT 1001 Minimum Grade of C- May not be taken concurrently OR STA2 Y May not be taken concurrently OR STT2 Y May not be taken concurrently OR MATH 1021 Minimum Grade of C- May not be taken concurrently OR ST2A Y May not be taken concurrently) AND (STAT 1102 Minimum Grade of C- May not be taken concurrently OR STAT 1902 Minimum Grade of C- May not be taken concurrently OR MATH 1031 Minimum Grade of C- May not be taken concurrently OR MATH 1041 Minimum Grade of C- May not be taken concurrently OR MATH 1941 Minimum Grade of C- May not be taken concurrently OR MATH 1038 Minimum Grade of C- May not be taken concurrently OR STT3 Y May not be taken concurrently) STAT Statistics for Engineers. 3 Credit Hours. Not to be taken by School of Business and Management students; open only to Engineering students. Descriptive statistics, inference, regression and correlation, and experimental design. Engineering applications. MATH 1041 Minimum Grade of C- May not be taken concurrently OR MATH 1941 Minimum Grade of C- May not be taken concurrently OR MATH 1038 Minimum Grade of C- May not be taken concurrently.

7 Statistics (STAT) 7 STAT Regression and Predictive Analytics. 3 Credit Hours. The course covers a variety of statistical methods useful in interdisciplinary research, such as simple and multiple regression analysis, ANOVA, analysis of covariance, logistic regression, and predictive models. Emphases are placed on rationales, assumptions, techniques, and interpretation of results from computer packages. (STAT 2103 Minimum Grade of C May not be taken concurrently OR STAT 2903 Minimum Grade of C May not be taken concurrently OR MATH 3031 Minimum Grade of C May not be taken concurrently OR STAT 2104 Minimum Grade of C May not be taken concurrently OR SOC 1167 Minimum Grade of C May not be taken concurrently OR CEE 3048 Minimum Grade of C May not be taken concurrently OR PSY 1167 Minimum Grade of C May not be taken concurrently OR PSY 2168 Minimum Grade of C May not be taken concurrently OR AS 2101 Minimum Grade of C May not be taken concurrently OR ECE 3522 Minimum Grade of C May not be taken concurrently OR SOC 0825 Minimum Grade of C May not be taken concurrently OR ANTH 0825 Minimum Grade of C May not be taken concurrently OR POLS 0825 Minimum Grade of C May not be taken concurrently OR PSY 0825 Minimum Grade of C May not be taken concurrently) AND (STAT 2501 Minimum Grade of C May not be taken concurrently) AND (STAT 2512 Minimum Grade of C May not be taken concurrently) STAT Applied Statistics and Data Science. 3 Credit Hours. This course will focus on the analysis of messy, real life data to perform predictions using statistical methods, such as multiple regression, forecasting, and time series, as well as machine learning methods. Some basic theory will be reviewed, but the course will emphasize applications. Material covered will integrate the five key facets of an investigation using data: (1) data collection - data wrangling, cleaning, and sampling to get a suitable data set; (2) data management - accessing data quickly and reliably; (3) exploratory data analysis - generating hypotheses and building intuition; (4) prediction or statistical learning; and (5) communication - summarizing results through visualization, stories, and interpretative summaries. Standard statistical packages will be introduced and used extensively. Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt. STAT 2103 Minimum Grade of C May not be taken concurrently OR STAT 2903 Minimum Grade of C May not be taken concurrently OR MATH 3031 Minimum Grade of C May not be taken concurrently OR STAT 2104 Minimum Grade of C May not be taken concurrently OR SOC 1167 Minimum Grade of C May not be taken concurrently OR CEE 3048 Minimum Grade of C May not be taken concurrently OR PSY 1167 Minimum Grade of C May not be taken concurrently OR PSY 2168 Minimum Grade of C May not be taken concurrently OR SOC 3201 Minimum Grade of C May not be taken concurrently OR ECE 3522 Minimum Grade of C May not be taken concurrently OR SOC 0825 Minimum Grade of C May not be taken concurrently OR ANTH 0825 Minimum Grade of C May not be taken concurrently OR POLS 0825 Minimum Grade of C May not be taken concurrently OR PSY 0825 Minimum Grade of C May not be taken concurrently.

8 8 Statistics (STAT) STAT Time Series and Forecasting Models. 3 Credit Hours. This time series analysis and forecasting models course with interdisciplinary applications covers important univariate and multivariate time series methods, including ARIMA models, further forecasting methods (logistic regression, ARIMA), centered and training Moving Average (MA). Students will apply the body of theoretical knowledge to analyzing real-life data sets. (STAT 2103 Minimum Grade of C May not be taken concurrently OR STAT 2903 Minimum Grade of C May not be taken concurrently OR MATH 3031 Minimum Grade of C May not be taken concurrently OR STAT 2104 Minimum Grade of C May not be taken concurrently OR SOC 1167 Minimum Grade of C May not be taken concurrently OR CEE 3048 Minimum Grade of C May not be taken concurrently OR PSY 1167 Minimum Grade of C May not be taken concurrently OR PSY 2168 Minimum Grade of C May not be taken concurrently OR AS 2101 Minimum Grade of C May not be taken concurrently OR ECE 3522 Minimum Grade of C May not be taken concurrently OR SOC 0825 Minimum Grade of C May not be taken concurrently OR ANTH 0825 Minimum Grade of C May not be taken concurrently OR POLS 0825 Minimum Grade of C May not be taken concurrently OR PSY 0825 Minimum Grade of C May not be taken concurrently) AND (STAT 2501 Minimum Grade of C May not be taken concurrently) AND (STAT 2512 Minimum Grade of C May not be taken concurrently) STAT Introduction to SAS for Data Analytics. 3 Credit Hours. This course is an introduction to programming for statistical analysis using the SAS Software System. Students will learn data set creation by data transformation to/from SAS using Import and Export functions. Concatenation, merging and subsetting data, as well as data restructuring and new variable construction using arrays and SAS functions will be taught. Simple procedures to clean and perform quality control of data, as well as procedures for calculating descriptive statistics, plots, and print outs will be covered. Laboratory exercises and homework assignments include brief exercises as well as manipulation and analysis of real data sets. STAT 2103 Minimum Grade of C May not be taken concurrently OR STAT 2903 Minimum Grade of C May not be taken concurrently OR MATH 3031 Minimum Grade of C May not be taken concurrently OR STAT 2104 Minimum Grade of C May not be taken concurrently OR SOC 1167 Minimum Grade of C May not be taken concurrently OR CEE 3048 Minimum Grade of C May not be taken concurrently OR PSY 1167 Minimum Grade of C May not be taken concurrently OR PSY 2168 Minimum Grade of C May not be taken concurrently OR AS 2101 Minimum Grade of C May not be taken concurrently OR ECE 3522 Minimum Grade of C May not be taken concurrently OR SOC 0825 Minimum Grade of C May not be taken concurrently OR ANTH 0825 Minimum Grade of C May not be taken concurrently OR POLS 0825 Minimum Grade of C May not be taken concurrently OR PSY 0825 Minimum Grade of C May not be taken concurrently OR SOC 3201 Minimum Grade of C May not be taken concurrently.

9 Statistics (STAT) 9 STAT Nonparametric and Categorical Data Analysis. 3 Credit Hours. This course covers estimation and testing of hypotheses when the functional form of the population distribution is not completely specified. The topics also include sampling models and analyses for discrete data: Fisher's exact test, logistic regression, ROC analysis, log-linear models and Poisson regression, conditional logistic regression, Cochran-Mantel-Haenszel test, measures of agreement between observers, quasi-independence, multinomial logit models, proportional odds model, association models, generalized estimating equations (GEE). Students work with R and SAS throughout the semester. (STAT 2103 Minimum Grade of C May not be taken concurrently OR STAT 2903 Minimum Grade of C May not be taken concurrently OR MATH 3031 Minimum Grade of C May not be taken concurrently OR STAT 2104 Minimum Grade of C May not be taken concurrently OR SOC 1167 Minimum Grade of C May not be taken concurrently OR CEE 3048 Minimum Grade of C May not be taken concurrently OR PSY 1167 Minimum Grade of C May not be taken concurrently OR PSY 2168 Minimum Grade of C May not be taken concurrently OR AS 2101 Minimum Grade of C May not be taken concurrently OR ECE 3522 Minimum Grade of C May not be taken concurrently OR SOC 0825 Minimum Grade of C May not be taken concurrently OR ANTH 0825 Minimum Grade of C May not be taken concurrently OR POLS 0825 Minimum Grade of C May not be taken concurrently OR PSY 0825 Minimum Grade of C May not be taken concurrently) AND (STAT 2501 Minimum Grade of C May not be taken concurrently) AND (STAT 2512 Minimum Grade of C May not be taken concurrently) STAT Special Topics - Statistics. 3 Credit Hours. Special topics in current developments in the field of statistics. STAT Independent Study. 1 to 6 Credit Hour. Readings, papers and/or laboratory work under supervision of a faculty member. STAT Capstone: Statistical Science and Data Analytics. 3 Credit Hours. The purpose of the capstone project is for the students to apply theoretical knowledge acquired during the program to a real project involving actual data in a realistic setting. During the project, students engage in the entire process of solving a real-world data science project: from collecting and processing actual data, to applying a suitable and appropriate analytic method to the problem. Both the problem statements for the project assignments and the datasets originate from real-world domains similar to those that students might typically encounter within industry, government, NGO, or academic research. The project will culminate with both an in-class presentation and final research paper. Course Attributes: WI STAT 2521 Minimum Grade of C May not be taken concurrently. STAT Quantitative Methods for Business. 1 to 3 Credit Hour. This course is designed to introduce you to contemporary elementary applied statistics and to provide you with an appreciation for the uses of statistics in business, economics, everyday life, as well as hands-on capabilities needed in your later coursework and professional employment.

10 10 Statistics (STAT) STAT Introduction to Biostatistics. 3 Credit Hours. Topics cover statistical methods and concepts with special emphasis on applications in health and biological sciences. STAT Special Topics. 1 to 6 Credit Hour. STAT Independent Study. 1 to 6 Credit Hour. Special study in a particular aspect of statistics under the direct supervision of an appropriate graduate faculty member. No more than six semester hours of independent study may be counted toward degree requirements. STAT Special Topics - Stat. 1 to 6 Credit Hour. STAT Independent Study. 1 to 3 Credit Hour. STAT 5001 Minimum Grade of B- May not be taken concurrently. STAT Foundations for Data Analytics. 1.5 Credit Hour. Statistical analytics provide a competitive edge to organizations by extracting information from data and helping understand risky and random events. Statistical analytics are an important part of the decision making process, allowing managers to make informed strategic decisions that combine executive intuition with a thorough understanding of data. Using statistical methods to extract information from data, and providing an indication of the quality of that information, adds value to an organization s strategic decision making process. This course is designed to develop strong skills in data analysis, modeling, and decision making under uncertainty. It is designed to train students to use valid inferences from data and make informed decisions. The topics covered in the course include data visualization, descriptive statistics, estimation, hypothesis testing, and regression analysis. This course emphasizes the applications of statistical analytic techniques through lectures, case analysis and computer exercises. Computations are facilitated using Excel, and students are expected to interpret and translate statistical results into a language understood by a non-technical audience. Co-requisites: MIS STAT Foundations for Data Analytics. 1.5 Credit Hour. Statistical analytics provide a competitive edge to organizations by extracting information from data and helping understand risky and random events. Statistical analytics are an important part of the decision making process, allowing managers to make informed strategic decisions that combine executive intuition with a thorough understanding of data. Using statistical methods to extract information from data, and providing an indication of the quality of that information, adds value to an organization s strategic decision making process. This course is designed to develop strong skills in data analysis, modeling, and decision making under uncertainty. It is designed to train students to use valid inferences from data and make informed decisions. The topics covered in the course include data visualization, descriptive statistics, estimation, hypothesis testing, and regression analysis. This course emphasizes the applications of statistical analytic techniques through lectures, case analysis and computer exercises. Computations are facilitated using Excel, and students are expected to interpret and translate statistical results into a language understood by a non-technical audience. Co-requisites: MIS 5401.

11 Statistics (STAT) 11 STAT Visualization: The Art of Numbers and the Psychology of Persuasion. 3 Credit Hours. Organizations are collecting an unprecedented volume of data, and analysts are producing information from data using analytics and models. None of the information that is extracted from the data is usable unless it can be effectively communicated. In this course, we will begin with the fundamental questions of communication: Who is the audience? What is the information? What is the goal? Using these questions to focus our thoughts, we will explore the techniques that allow you to select appropriate information and to craft a narrative that clearly and effectively communicates this information using visual elements. Producing good visual displays is a combination of art and science and compromise between function and form. We will discuss how humans process and encode visual and textual information in relation to selecting an appropriate visual display, and we will cover topics including: exploratory data analyses, charts, tables, graphics, static and dynamic displays, effective presentations, multimedia content, animation, and dashboard design. Examples and cases will be used from a variety of industries. STAT Statistical Learning and Data Mining. 3 Credit Hours. This course is designed to change the way you think about data. Numerous firms have demonstrated that the ability to reliably extract manageriallyrelevant information from data is a potent and enduring source of competitive advantage, a realization that transforms data into an asset that can be a primary source of competitive advantage. Competition is pushing organizations to "mine" (or extract) these insights faster, with greater reliability, and in ways that maximize the probability of implementation. In this course we will explore how statistical learning and data mining techniques can be used to improve decision-making and profitability. The course will provide an overview of the fundamental principles and techniques of data mining, and we will use real-world examples, cases, and "hands-on" techniques to demonstrate data-mining techniques in context, to develop your analytic thinking, and to develop your model building acumen. STAT 5001 Minimum Grade of B- May be taken concurrently OR (MIS 5301 Minimum Grade of B- May be taken concurrently AND STAT 5301 Minimum Grade of B- May be taken concurrently) OR (MIS 5401 Minimum Grade of B- May be taken concurrently AND STAT 5401 Minimum Grade of B- May be taken concurrently) STAT Experiments: Knowledge by Design. 3 Credit Hours. How do we know which policies, strategies, and decisions work, which should be continued, and which should be changed? Organizations frequently implement strategies and changes, only to find that they fail to produce their intended effects. Thus, there is a gap between what "sounded good" and what was "right." Ultimately, the gold standard for assessing what is "right" is a controlled experiment, which is the least utilized technique in the corporate arsenal. Experiments provide a structured way to construct a feedback loop that allows us to identify errors in our beliefs and to ascertain the real drivers of outcomes. In this course, we will explore how to use this "test and learn" paradigm to answer questions such as how advertising should be designed and targeted, what types of promotions are most effective, what products should be offered, how employees should be compensated, which sales channels should be emphasized, how webpages should be designed, and more. Experiments are an ideal way to understand how to implement a "test and learn" approach to management and to separate the "signal" from the "noise." STAT 5001 Minimum Grade of B- May be taken concurrently OR (MIS 5301 Minimum Grade of B- May be taken concurrently AND STAT 5301 Minimum Grade of B- May be taken concurrently) OR (MIS 5401 Minimum Grade of B- May be taken concurrently AND STAT 5401 Minimum Grade of B- May be taken concurrently)

12 12 Statistics (STAT) STAT Decision Models: From Data to Decisions. 3 Credit Hours. Good analysts know that predictions are always uncertain. However, merely expressing uncertainty is not sufficient for decision making. In addition, we need to combine the results of uncertain inputs into a more general model, account for the relative severity of negative outcomes, and choose a strategy that best achieves our goals (e.g. highest expected value, most robust, least chance of losing, etc.). We also need to communicate the process and conclusions to constituents and to decision-makers. This course focuses on techniques for combining uncertain inputs into a decision model that can be used to characterize likely and unlikely outcomes, to quantify risk, and to identify inputs to a decision that are "high leverage" (i.e., outcomes are very sensitive to those inputs). In addition, you will learn how to build a decision model, how to make better decisions in the presence of uncertainty, and how to deal with multi-stage decisions. STAT 5001 Minimum Grade of B- May be taken concurrently OR (MIS 5301 Minimum Grade of B- May be taken concurrently AND STAT 5301 Minimum Grade of B- May be taken concurrently) OR (MIS 5401 Minimum Grade of B- May be taken concurrently AND STAT 5401 Minimum Grade of B- May be taken concurrently) STAT Data: Care, Feeding, and Cleaning. 3 Credit Hours. Data is ubiquitous. Real data is also "dirty." Analysis of unclean data can significantly distort the results of analyses, and it can reduce or eliminate the benefits of an information-driven strategy. Thus, the first step in generating good information from data is to "clean" the data. Substantial research has been done on procedures to automatically or semi-automatically identify--and, when possible, correct--errors in large datasets. Even after data have been "scrubbed" the datasets are frequently not in the correct configuration for analysis. Data combination and manipulation involves techniques for merging and summarizing datasets, extracting subsets of data, and transforming variables within the datasets. In this course we explore tools and techniques for cleaning raw data (fixing errors, identifying outliers, etc.), extracting subsets or samples of data, merging and combining datasets, summarizing disaggregate data, and manipulating and transforming individual variables within the datasets. We will also discuss good procedures for ensuring data quality and reliability in data collection. In addition, we will discuss techniques to identify issues in data collection and how to clean the data. STAT 5001 Minimum Grade of B- May be taken concurrently OR (MIS 5301 Minimum Grade of B- May be taken concurrently AND STAT 5301 Minimum Grade of B- May be taken concurrently) OR (MIS 5401 Minimum Grade of B- May be taken concurrently AND STAT 5401 Minimum Grade of B- May be taken concurrently) STAT Advanced Business Analytics. 3 Credit Hours. This course builds upon the foundation in Business Analytics. In previous courses, we saw that data by itself is useless, and that it must be transformed into information in order to have value to decision makers. This course will extend your understanding of the art and science of extracting information from data into increasingly complex and "real world" data. Specifically, we will cover extensions to regression, logistic regression, hierarchical modeling, model selection, and other topics spanning the process of building and evaluating models. In addition, we will practice drawing intuition and insight from models and effectively communicating that insight in a format that can help decision-makers to make better decisions. STAT 5001 Minimum Grade of B- May be taken concurrently OR (MIS 5301 Minimum Grade of B- May be taken concurrently AND STAT 5301 Minimum Grade of B- May be taken concurrently) OR (MIS 5401 Minimum Grade of B- May be taken concurrently AND STAT 5401 Minimum Grade of B- May be taken concurrently)

13 Statistics (STAT) 13 STAT Business Analytics II. 1.5 Credit Hour. Organizations are drowning in a sea of data. However, data by itself is useless. To have value, it must be transformed into information that can be used to make decisions. It has been shown by myriad companies that one path to success in the business arena is through superior use of information - information about customers, markets, and operations. This course extends the material presented in Business Analytics I, continuing the development of the art and science of extracting information from data. The emphasis is on using extracted information to improve business decisions. It also delves into the presentation of quantitative data using state of the art tools and techniques. (MIS 5301 Minimum Grade of B- May not be taken concurrently AND STAT 5301 Minimum Grade of B- May not be taken concurrently) OR (MIS 5401 Minimum Grade of B- May not be taken concurrently AND STAT 5401 Minimum Grade of B- May not be taken concurrently) OR STAT 5001 Minimum Grade of B- May not be taken concurrently. STAT Statistical Analysis for Management. 3 Credit Hours. In this course, you'll learn how to use statistics to help solve business problems throughout an enterprise. You'll examine case examples of statistical analysis in areas such as marketing, finance and management. You'll learn descriptive and inferential techniques such as regression analysis and how to analyze data and reach decisions, using statistical computer software and Excel. STAT Quantitative Techniques for Management. 3 Credit Hours. In this course you'll apply advanced quantitative techniques for managerial decision-making such as forecasting, linear programming, simulation, decision analysis, Markov chains and game theory. You'll use customized software and Excel to analyze these models extensively and apply them to decisions regarding resource allocation and other managerial problems. STAT Special Topics. 1 to 6 Credit Hour. STAT Probability and Statistics Theory I. 3 Credit Hours. Topics include basic probability theory and combinatorial problems, generating functions, random variables, probability distributions, law of large numbers, and limit theorems. STAT Probability and Statistics Theory II. 3 Credit Hours. A comprehensive development of the theory of statistics, including standard distributions, sampling distributions, general theory of estimation, testing of hypotheses, statistical decision theory, order statistics, linear statistical estimation. (STAT 8001 Minimum Grade of B- May not be taken concurrently AND STAT 8002 Minimum Grade of B- May not be taken concurrently)

14 14 Statistics (STAT) STAT Statistical Methods I. 3 Credit Hours. Introduction to applied statistics. Topics include data management, probability distributions, parameter estimation, hypothesis testing, sampling methodologies, graphical display, analysis of variance, and simple and multiple regression. Use of R, S-Plus and SAS statistical software. MATH 2031 Minimum Grade of B- May not be taken concurrently. STAT Statistical Methods II. 3 Credit Hours. Design of experiments, analysis of discrete data, introduction to nonparametric methods, logistic regression, ARIMA time series analysis, bootstrapping, jackknife, robustness, and selected topics in multivariate analysis. Use of R, S-Plus and SAS statistical software. STAT 8003 Minimum Grade of B- May not be taken concurrently. STAT Probability and Large Sample Theory. 3 Credit Hours. An advanced level theoretical course covering measure theoretic probability, some probability inequalities, statistical independence, strong and weak laws of large numbers, convergence in distribution, variance stabilizing transformations, characteristic functions and central limit theorem. STAT 8001 Minimum Grade of B May not be taken concurrently. STAT Stochastic Processes. 3 Credit Hours. This is a first course in stochastic processes, with an emphasis on continuous-time models that support applications in financial mathematics and derivative evaluation. The course covers: fundamentals of probability, limit theorems, conditional expectation, change of measures, Markov chains, random walks, martingales, Brownian motion, the Ito integral, stochastic differential equations, the Black-Scholes model and its use in evaluating a variety of financial derivatives. MATH 1031 Minimum Grade of B- May not be taken concurrently OR MATH 1931 Minimum Grade of B- May not be taken concurrently OR MATH 1041 Minimum Grade of B- May not be taken concurrently OR MATH 1941 Minimum Grade of B- May not be taken concurrently OR MATH 1038 Minimum Grade of B- May not be taken concurrently OR MATH 1042 Minimum Grade of B- May not be taken concurrently OR MATH 1942 Minimum Grade of B- May not be taken concurrently. STAT Statistical Methods III. 3 Credit Hours. STAT 8004 Minimum Grade of B- May not be taken concurrently.

15 Statistics (STAT) 15 STAT Sampling Theory. 3 Credit Hours. Theory and application of sampling from finite populations. Topics include random, stratified, cluster, and systematic sampling; estimation of means and variances; optimal allocation of resources; problems of nonsampling errors; and ratio and regression estimation. STAT 8003 Minimum Grade of B- May not be taken concurrently. STAT Mathematics for Stat. 3 Credit Hours. Vector spaces; linear independence of vectors and basis; matrices and algebraic operations on matrices; determinants; rank of a matrix; inverse of nonsingular matrices; linear equations and their solutions; generalized inverse of a matrix; eigen values and vectors of matrices; diagonalization theorems; quadratic forms and their reduction to sum of squares; Jacobians. MATH 2101 Minimum Grade of B- May not be taken concurrently OR MATH 2103 Minimum Grade of B- May not be taken concurrently. STAT Univariate Time Series Analysis. 3 Credit Hours. Theory and application of univariate time series analysis. Includes both time domain and frequency domain methods. Considers stationary and nonstationary linear processes, time series model building, forecasting, unit root test, intervention models and outlier detection, spectral theory of stationary processes, spectral windows, and estimation of spectrum. STAT 8002 Minimum Grade of B- May not be taken concurrently. STAT Linear Models I. 3 Credit Hours. Covers the basic theory and practice of generalized linear models (GLM), such as the logistic, Poisson and gamma regression, as well as models for multilevel or longitudinal Gaussian responses, such as the hierarchical linear model and linear mixed model. The students will need to work with R and SAS throughout the semester. (STAT 8002 Minimum Grade of B- May not be taken concurrently) AND (STAT 8004 Minimum Grade of B- May not be taken concurrently) AND (STAT 8104 Minimum Grade of B- May not be taken concurrently) STAT Design of Experiments I. 3 Credit Hours. Principles of experimental designs, completely randomized designs, multiple comparisons, randomized block design, latin square design, missing value problems, analysis of covariance, and factorial experiments. STAT 8004 Minimum Grade of B- May not be taken concurrently.

16 16 Statistics (STAT) STAT Applied Multivariate Analysis I. 3 Credit Hours. Multivariate normal distribution; marginal and conditional distributions; estimation of population mean vector and dispersion matrix; correlation, partial correlation, and multiple correlation coefficients; Hotelling's T2; MANOVA; discriminant function; repeated measurements analysis; principal components and canonical correlation; factor analysis; and multidimensional scaling. (STAT 8004 Minimum Grade of B- May not be taken concurrently) AND (STAT 8104 Minimum Grade of B- May not be taken concurrently) STAT Regression, Time Series, and Forecasting for Business Applications. 3 Credit Hours. Intermediate level course that covers regression analysis, time series analysis, and forecasting. The course is application oriented and standard statistical packages such as MINITAB are introduced and extensively used. STAT 5001 Minimum Grade of B- May not be taken concurrently. STAT Survey Techniques for Business Applications. 3 Credit Hours. Application oriented. A course dealing with statistical and nonstatistical aspects of organizing a sample survey. Included are discussions of objectives, measurement, sample selection, pilot testing, data collection, data editing, summarization and interpretation of results in addition to describing the various sampling schemes. Students may be required to plan and execute a survey. STAT 5001 Minimum Grade of B- May not be taken concurrently. STAT Statistical Methods for Business Research I. 3 Credit Hours. Part I of a doctoral level, one-year sequence of courses for the PhD students in Business Administration program. The course covers a variety of statistical methods useful in business research, such as: multiple regression analysis, ANOVA, linear models, analysis of covariance, logistic regression, principal component analysis, exploratory factor analysis and canonical correlation analysis. Emphases are placed on rationales, assumptions, techniques, and interpretation of results from computer packages. Relevant mathematical results will be presented, but proofs or abstract arguments shall be avoided. The lectures cover computer usages, such as R and/or SAS, and the students are expected to work with SAS (or equivalent packages) throughout the semester. STAT 2101 Minimum Grade of B- May not be taken concurrently OR STAT 2901 Minimum Grade of B- May not be taken concurrently OR STAT 2103 Minimum Grade of B- May not be taken concurrently OR STAT 2903 Minimum Grade of B- May not be taken concurrently OR MATH 2031 Minimum Grade of B- May not be taken concurrently OR MATH 3032 Minimum Grade of B- May not be taken concurrently.