250

SPMT 250 - Sport Analytics (Fall)

COURSE DESCRIPTION 

This course is intended for undergraduate students in sport management to develop a basic understanding of the analytics in the sports industry. The role of analytics is continually increasing in the global sports industry, students need to understand how analytics are for performance, business, and fan engagement analysis and decision making. 

 

Theory, development, and application of analytics in sports for purposes of player performance, team management/operations, team valuation, social media analysis, sponsorship metrics, and fantasy competitions.

COURSE OBJECTIVES

After successful completion of this course, the student will be able to:
1.    Apply critical thinking and problem solving to decisions based on analytics
2.    Gain a basic understanding of statistical concepts and their application in the sports industry
3.    Understand and apply various data acquisition techniques
4.    Apply basic data processing and analysis techniques
5.    Interpret marketing and purchase based evidence used by sports organizations

 

RESOURCES

Severini, T.A. (2014). Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports
ISBN-13: 9781482237016
 
Alamar, B.C.(2013). Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers.  ISBN 13-978-0231162920
 
Knight-Newhouse College Athletics Database, www.KnightNewhouseData.org

Yahoo Fantasy Football

ESPN Fantasy Football

Street & Smith’s Sports Business Journal, www.sportsbusinessjournal.com

Knight Commission on Intercollegiate Athletics, www.knightcommission.org

USA Today College Sports News, http://www.usatoday.com/sports/college/

COURSE OUTLINE

Content will be provided in addition to what is below, and will likely change pending the need to meet course objectives.  Please review the online Moodle course shell and listen to the instructor about what your content expectations are prior to the next class.  It is your responsibility to access the content and be prepared – you may be quizzed!  

See below for the calendar relating to course content, due dates, and expectations.

COURSE SCHEDULE & DEADLINES

All content will be provided on the online Moodle course shell.  The instructor may adjust the schedule with times and content based on course needs and expectations, and his own professional development meetings.  Guest speakers are tentative and may also impact the schedule. 

COURSE SCHEDULE & DEADLINES   All content will be provided on the online Moodle course shell.  The instructor may adjust the schedule with times and content based on course needs and expectations, and his own professional development meetings.  Guest speakers are tentative and may also impact the schedule.
DATE	CHAPTER/TOPIC	HOMEWORK	ASSIGNMENTS DUE
Week 1: Aug 23, 25	Introduction/Probability	Print Syllabus Moodle content	Quiz #1
Week 2: Aug 30, Sep 1	Basic Statistics, Standard Deviation, Growth Rates. Fantasy Football (FF)	Moodle content Select FF teams	Quiz #2 ASSIGN. #1 DUE (Tue) WEEKLY JOURNAL
Week 3: Sep. 6, 8	Basic Statistics, Standard Deviation, Growth Rates	Moodle content	Quiz #3 WEEKLY JOURNAL FF POST #1
Week 4: Sep. 13, 15	Sabermetrics, Player performance using statistics	Moodle content	Quiz #4 WEEKLY JOURNAL FF POST #2
Week 5: Sep. 20, 22	Player Performance	Moodle content	Quiz #5 ASSIGNMENT #2 DUE WEEKLY JOURNAL FF POST #3
Week 6: Sep. 27, 29	Team Performance	Moodle content	Quiz #6 WEEKLY JOURNAL FF POST #4
Week 7: Oct. 4, 6	Team Performance	Moodle content	Quiz #7 ASSIGNMENT #3 DUE WEEKLY JOURNAL FF POST #5
Week 8: Oct. 11, 13 NO CLASS OCT 15?	Make Up Day/Mid-Term Review	Moodle content	WEEKLY JOURNAL FF POST #6 MID-TERM EXAM
Week 9 : Oct. 18, 20	Team valuation	Moodle content	Quiz #8 ASSIGNMENT #4 DUE WEEKLY JOURNAL FF POST #7
Week 10: Oct. 25, 27	Market-based statistics	Moodle content	Quiz #9 WEEKLY JOURNAL FF POST #8
Week 11: Nov. 1, 3	Market-based statistics	Moodle content	Quiz #10 WEEKLY JOURNAL FF POST #9
Week 12: Nov. 8, 10	Purchasing methods & statistics	Moodle content	BOOK ANALYSIS DUE WEEKLY JOURNAL FF POST #10
Week 13: Nov. 15, 12 * (11/9) Hirko OUT - at ASHE?	Ticketing analysis	Moodle content	Quiz #11 ASSIGNMENT #5 DUE WEEKLY JOURNAL FF POST #11
Week 14: Nov. 22  THANKSGIVING	Ticketing analysis	Moodle content	Quiz #12 WEEKLY JOURNAL FF POST #12
Week 15: Nov 29, Dec 1	Make Up Day/Final Review	Moodle content	FF PAPER DUE WEEKLY JOURNAL
Week 16: Dec. 6, 8	FINALS WEEK	Review notes	FINAL EXAM (take home)