Teaching
I teach mostly quantitative courses within the Sport Management program at the University of Texas (and previously at the University of Florida and University of Michigan). These include Finance, Economics, Statistics, and Strategy courses. I have taught both on campus and online. Below you can find a brief description of each of my courses.
University of Texas
KIN395: Sports Economics
This graduate course is a mix of sports economics principles and theory, as well as a seminar style discussion that focuses on core academic papers in the area of sports economics. Topics range from the Foundations of Sports Economics Theory, to Sports Demand, Labor, Antitrust, and Competitive Balance, to College Sports, Taxation, and Bias and Discrimination in sport.
KIN395: Sport Finance
This graduate course uses my co-authored textbook. It focuses on basic finance concepts (interest rates, risk, inflation, depreciation, etc.) and their application to specific topics in Sport Management and Sports Economics such as ownership structures, costs and revenues, stadium financing, pricing, demand for media/attendance, league policy, taxes, and team valuation. This course focuses on using financial analyses to make decisions from a managerial perspective.
KIN395: Statistical Methods in Education and Health
This course was first offered in the Spring 2020 semester and uses the OpenIntro Statistics text. The course is a foundational statistics course for masters and doctoral students within the Department of Kinesiology & Health Education, as well as students in other departments in need of the material. The goal is to provide a strong statistical foundation so that graduate students can continue in any statistics sequence and expand their tool set for research, data analysis, and statistical programming. Central to the course will be beginner-to-intermediate level instruction in the open-source statistical program R. This will use hands-on data analysis examples from Sport Management, Health Education, Kinesiology, and related disciplines.
I have decided to provide all Lab assignments for this course publicly, along with the data used for each. Please find each below (more will pop up as the semester goes along). Please let me know if you see any issues in the labs, as this is a brand new course and there are bound to be mistakes here and there that require fixing up.
----------
Lab 1-1: Entering and Structuring Data in Excel
Lab 1-2: Introduction to R-Studio (Data Files: TouristDat.csv)
Lab 2-1: Exploring and Visualizing Baseball Data in R (Data Files: mlbdat.csv)
Lab 2-2: Kobe Bryant and the Hot Hand (Note: For copyright reasons, I refer you to OpenIntro for this one.)
Lab 3-1: Standardizing Data and Binomial Simulation (Data come from CDC through OpenIntro and are loaded directly into R.)
Lab 3-2: Simulating Sampling Distributions in R (Data Files: censAgeDat.csv)
Lab 4-1: Student Alcohol Consumption and the Chi-Square Test (Data Files: schoolalcohol.csv)
Lab 4-2: Applying the T-Test in R with Experimental Data (Data Files: chickDat.csv)
Lab 5-1: Analysis of Variance in R with Survey Data (Data Files: speedDating.csv)
Lab 5-2: Correlation and Regression in R with Winning and Attendance (Data Files: attdat.csv)
Lab 6-2: Multiple Regression for Mario Kart in R (Note: For copyright reasons, I refer you to OpenIntro for this one.)
----------
KIN357: Strategic Management in Sport
This course focuses on Strategy in the sport management context at the undergraduate level. I began teaching this course starting in the Fall 2020 semester.
KIN356: Revenue & Budgeting
This is our undergraduate level sport finance course, which I will offer during Summer semester beginning in 2021.
KIN395: Sport Finance (Online M.Ed.)
This is an online version of the on campus KIN395 Sport Finance course that was first taught in the Fall 2019 semester. It is administered fully online.
University of Florida
SPM6905: Sports Economics
This is a graduate course first taught in the Spring 2017 semester at the University of Florida. The course is a mix of sports economics principles and theory, as well as a seminar style discussion that focuses on core academic papers in the area of sports economics. Topics range from the Foundations of Sports Economics Theory, to Sports Demand, Labor, Antitrust, and Competitive Balance, to College Sports, Taxation, and Bias and Discrimination in sport.
HLP6515: Evaluation Procedures in Health and Human Performance
This was the graduate statistics course offered within the Department of Tourism, Recreation, & Sport Management at the University of Florida. Topics begin at the very basics (building data, graphing and exploratory analysis, central tendency measures, central limit theorem and the normal distribution, random sampling, hypothesis testing) through using statistical analyses to make decisions while having a full understanding of the uncertainty surrounding these decisions (t-tests, ANOVA, Chi-square, regression). This course is focused on application of the basic skills, and lectures will focus on specific examples to get the point of each topic across to the student.
SPM5506: Sport Finance
This course uses my co-authored textbook and for discussion, Fort & Winfree's 15 Sports Myths. It focuses on basic finance concepts (interest rates, risk, inflation, depreciation, etc.) and their application to specific topics in Sport Management and Sports Economics such as ownership structures, costs and revenues, stadium financing, pricing, demand for media/attendance, league policy, taxes, and team valuation. This course focuses on using financial analyses to make decisions from a managerial perspective.
SPM4515: Sport and Business Finance
This course is similar to the graduate level course, covering similar topics at the undergraduate level.
SPM5506: Sport Finance (Online MS)
This is an online version of the on campus MS course SPM 5506 that was first taught in the Fall 2015 semester. It is administered fully online for the only MS Degree in Sport Management at the University of Florida.
SPM4515: Sport and Business Finance (UF Online)
This course is the undergraduate level online version of SPM4515 at the University of Florida.
University of Michigan
SM313: Research Methods and Analytical Tools for Sport Managers
Within the School of Kinesiology at the University of Michigan, I took the role of primary instructor for SM313: Research Methods and Analytical Tools for Sport Managers. This was a new experimental undergraduate class with practical business applications of research methods and critical thinking (heavy use of Excel and SPSS). I developed the initial lectures for this class in Fall of 2010 and co-developed the labs with my fellow graduate student at the time, Seung Pil Lee.
Other Educational Activities
Baseball With R
I was a regular contributor to the blog Exploring Baseball Data With R alongside Jim Albert, Ben Baumer, Max Marchi, and Carson Sievert. Posts here consist of short tutorials on statistical programming in the open source program, R, using baseball data.
Blogging About R
In the past, I ran a series of online posts through my personal blog and the R-Bloggers website teaching beginners how to use the open-source program R through the lens of baseball. I believe that the best way to learn statistics and statistical programming is by applying it to something that is extremely interesting to the student. My series - coined "sab-R-metrics" - attempts to do this and encourage others to learn R and expand the open-source language within the field of sports research. The series was highlighted at the Revolutions Blog and later included in the February edition of the Revolution Analytics Newsletter.
Data Camp
Previously, I had a course on analyzing baseball data with R, hosted on Data Camp. Unfortunately, this course was removed at my request for reasons unrelated to the course. However, if you'd like materials from the original course, please send me an email and I am happy to share them.
I teach mostly quantitative courses within the Sport Management program at the University of Texas (and previously at the University of Florida and University of Michigan). These include Finance, Economics, Statistics, and Strategy courses. I have taught both on campus and online. Below you can find a brief description of each of my courses.
University of Texas
KIN395: Sports Economics
This graduate course is a mix of sports economics principles and theory, as well as a seminar style discussion that focuses on core academic papers in the area of sports economics. Topics range from the Foundations of Sports Economics Theory, to Sports Demand, Labor, Antitrust, and Competitive Balance, to College Sports, Taxation, and Bias and Discrimination in sport.
KIN395: Sport Finance
This graduate course uses my co-authored textbook. It focuses on basic finance concepts (interest rates, risk, inflation, depreciation, etc.) and their application to specific topics in Sport Management and Sports Economics such as ownership structures, costs and revenues, stadium financing, pricing, demand for media/attendance, league policy, taxes, and team valuation. This course focuses on using financial analyses to make decisions from a managerial perspective.
KIN395: Statistical Methods in Education and Health
This course was first offered in the Spring 2020 semester and uses the OpenIntro Statistics text. The course is a foundational statistics course for masters and doctoral students within the Department of Kinesiology & Health Education, as well as students in other departments in need of the material. The goal is to provide a strong statistical foundation so that graduate students can continue in any statistics sequence and expand their tool set for research, data analysis, and statistical programming. Central to the course will be beginner-to-intermediate level instruction in the open-source statistical program R. This will use hands-on data analysis examples from Sport Management, Health Education, Kinesiology, and related disciplines.
I have decided to provide all Lab assignments for this course publicly, along with the data used for each. Please find each below (more will pop up as the semester goes along). Please let me know if you see any issues in the labs, as this is a brand new course and there are bound to be mistakes here and there that require fixing up.
----------
Lab 1-1: Entering and Structuring Data in Excel
Lab 1-2: Introduction to R-Studio (Data Files: TouristDat.csv)
Lab 2-1: Exploring and Visualizing Baseball Data in R (Data Files: mlbdat.csv)
Lab 2-2: Kobe Bryant and the Hot Hand (Note: For copyright reasons, I refer you to OpenIntro for this one.)
Lab 3-1: Standardizing Data and Binomial Simulation (Data come from CDC through OpenIntro and are loaded directly into R.)
Lab 3-2: Simulating Sampling Distributions in R (Data Files: censAgeDat.csv)
Lab 4-1: Student Alcohol Consumption and the Chi-Square Test (Data Files: schoolalcohol.csv)
Lab 4-2: Applying the T-Test in R with Experimental Data (Data Files: chickDat.csv)
Lab 5-1: Analysis of Variance in R with Survey Data (Data Files: speedDating.csv)
Lab 5-2: Correlation and Regression in R with Winning and Attendance (Data Files: attdat.csv)
Lab 6-2: Multiple Regression for Mario Kart in R (Note: For copyright reasons, I refer you to OpenIntro for this one.)
----------
KIN357: Strategic Management in Sport
This course focuses on Strategy in the sport management context at the undergraduate level. I began teaching this course starting in the Fall 2020 semester.
KIN356: Revenue & Budgeting
This is our undergraduate level sport finance course, which I will offer during Summer semester beginning in 2021.
KIN395: Sport Finance (Online M.Ed.)
This is an online version of the on campus KIN395 Sport Finance course that was first taught in the Fall 2019 semester. It is administered fully online.
University of Florida
SPM6905: Sports Economics
This is a graduate course first taught in the Spring 2017 semester at the University of Florida. The course is a mix of sports economics principles and theory, as well as a seminar style discussion that focuses on core academic papers in the area of sports economics. Topics range from the Foundations of Sports Economics Theory, to Sports Demand, Labor, Antitrust, and Competitive Balance, to College Sports, Taxation, and Bias and Discrimination in sport.
HLP6515: Evaluation Procedures in Health and Human Performance
This was the graduate statistics course offered within the Department of Tourism, Recreation, & Sport Management at the University of Florida. Topics begin at the very basics (building data, graphing and exploratory analysis, central tendency measures, central limit theorem and the normal distribution, random sampling, hypothesis testing) through using statistical analyses to make decisions while having a full understanding of the uncertainty surrounding these decisions (t-tests, ANOVA, Chi-square, regression). This course is focused on application of the basic skills, and lectures will focus on specific examples to get the point of each topic across to the student.
SPM5506: Sport Finance
This course uses my co-authored textbook and for discussion, Fort & Winfree's 15 Sports Myths. It focuses on basic finance concepts (interest rates, risk, inflation, depreciation, etc.) and their application to specific topics in Sport Management and Sports Economics such as ownership structures, costs and revenues, stadium financing, pricing, demand for media/attendance, league policy, taxes, and team valuation. This course focuses on using financial analyses to make decisions from a managerial perspective.
SPM4515: Sport and Business Finance
This course is similar to the graduate level course, covering similar topics at the undergraduate level.
SPM5506: Sport Finance (Online MS)
This is an online version of the on campus MS course SPM 5506 that was first taught in the Fall 2015 semester. It is administered fully online for the only MS Degree in Sport Management at the University of Florida.
SPM4515: Sport and Business Finance (UF Online)
This course is the undergraduate level online version of SPM4515 at the University of Florida.
University of Michigan
SM313: Research Methods and Analytical Tools for Sport Managers
Within the School of Kinesiology at the University of Michigan, I took the role of primary instructor for SM313: Research Methods and Analytical Tools for Sport Managers. This was a new experimental undergraduate class with practical business applications of research methods and critical thinking (heavy use of Excel and SPSS). I developed the initial lectures for this class in Fall of 2010 and co-developed the labs with my fellow graduate student at the time, Seung Pil Lee.
Other Educational Activities
Baseball With R
I was a regular contributor to the blog Exploring Baseball Data With R alongside Jim Albert, Ben Baumer, Max Marchi, and Carson Sievert. Posts here consist of short tutorials on statistical programming in the open source program, R, using baseball data.
Blogging About R
In the past, I ran a series of online posts through my personal blog and the R-Bloggers website teaching beginners how to use the open-source program R through the lens of baseball. I believe that the best way to learn statistics and statistical programming is by applying it to something that is extremely interesting to the student. My series - coined "sab-R-metrics" - attempts to do this and encourage others to learn R and expand the open-source language within the field of sports research. The series was highlighted at the Revolutions Blog and later included in the February edition of the Revolution Analytics Newsletter.
Data Camp
Previously, I had a course on analyzing baseball data with R, hosted on Data Camp. Unfortunately, this course was removed at my request for reasons unrelated to the course. However, if you'd like materials from the original course, please send me an email and I am happy to share them.
