Exploration of a topic (to be determined) not covered by the standard curriculum but of interest to faculty and students in a particular semester.

Analyzing and interpreting sport data through analytical procedures. Current advanced statistics will be introduced, discussed, and computed across a variety of professional and college sports.

Participation in a discipline or subject related experience. Student must be evaluated by written or oral reports or an examination. Permission in advance with the consent of the department chairperson, instructor, and dean. Limited to those in good academic standing.

Utilizing Python programming Sports Analytics students will collect, clean, and visualize sports data. Students will conduct statistical analyses of collected sports datasets, interpret, and visualize results.

In-depth exploration of a problem or problems. Individual independent study based on a plan submitted by the student. Permission in advance with the consent of the department chairperson, instructor, and dean. Limited to those in good academic standing.

Introduction to elements of sport analytics, research methods and design, applied probability and statistics. Students will conduct research and construct papers using Excel and R to interpret sport statistical analyses.

Exploration of a topic (to be determined) not covered by the standard curriculum but of interest to faculty and students in a particular semester.

Advanced econometric techniques for cross-sectional, time-series and panel (i.e., cross-sectional and time-series) data are covered. Non-linear models are considered using the generalized linear model approach. Techniques will be applied to sport analytic data across sports.

An introduction to computer programing within sport analytics. An emphasis on learning to code, program, package, and use modules within sport. Database management, storage, and debugging techniques will be reviewed for sport industry data.

Introduction to sport science and athletic injury analytics. Complex sport injury cases will be examined and analyzed using scientific articles and on-line resources.

Differentiates structure within analytics departments among multiple professional sports organizations. Prepares students to compete in the baseball analytics based SABR Diamond Dollars Case Competition and attend the SABR Analytics Conference. Travel and field study course.

Analyzing and explaining sport issues through the lens of economic analysis. Theoretical models and applications will be discussed that relates to aspects of professional, collegiate, and amateur sports nationally and internationally.

Advanced analysis of various web scraping techniques with the specific focus of learning how to scrape sports data from various sport websites. Significant time will be spent problem solving and cleaning data from complicated sources.

Analyzing and interpreting sport data through analytical procedures in the software program R. Current advanced statistics and techniques will be covered using a variety of sport databases.

Students will study the global impact of sport, history, and business implications on a particular region or country. Analyzing sport from a variety of perspectives: lectures, readings, field trips, and case studies of sport organizations.

Course is the travel portion of SPM/SAL 440. Students enrolled in SPM/SAL440 must register for this zero credit course in the subsequent semester for the required travel portion of the course

Participation in a discipline or subject related experience. Student must be evaluated by written or oral reports or an examination. Permission in advance with the consent of the department chairperson, instructor, and dean. Limited to those in good academic standing.

In-depth exploration of a problem or problems. Individual independent study upon a plan submitted by the student. Admission by consent of supervising instructor or instructors and the department.

First course in a two semester sequence for sport analytics students which will prepare the student for their thesis project. Within this course, students will be guided to research and choose their thesis topic.

Second semester in a two semester course sequence for Sport Analytics majors who will complete an original research project within sport analytics.

Completion of an Honors Capstone Project under the supervision of a faculty member.