Магистратура 2021/2022

Спортивные показатели

Лучший по критерию «Полезность курса для расширения кругозора и разностороннего развития»

Лучший по критерию «Новизна полученных знаний»

Статус: Курс по выбору (Менеджмент и аналитика для бизнеса)

Направление: 38.04.02. Менеджмент

Кто читает: Департамент менеджмента

Где читается: Санкт-Петербургская школа экономики и менеджмента

Когда читается: 2-й курс, 2 модуль

Формат изучения: без онлайн-курса

Охват аудитории: для своего кампуса

Преподаватели: Миранда Гаспаретто Тадеу

Прогр. обучения: Менеджмент и аналитика для бизнеса

Язык: английский

Кредиты: 3

Контактные часы: 24

Course Syllabus

Abstract

This course covers the key aspects of the professional sports performance. The course also introduces techniques of sports outcomes predictions, data collection and analyses as well as decision-making process by data-driven. Moreover, the course introduces the essential elements of eSports and the relevant the determinants of performance.

Learning Objectives

• This course covers the key aspects of the professional sports performance

Expected Learning Outcomes

• Students will be able to understand the most important factors that drive both individual and team performance, make predictions of sports outcomes and help sports managers in the decision-making process using data.

Course Contents

• Individual Performance
• Team Performance
• Predicting Outcomes
• Data Collection, Tools and Decision-Making
• eSports: Team and Player Performance

Assessment Elements

• presentations and tasks completed/presented during the seminar
• final presentation
• attendance of lectures

Interim Assessment

• 2021/2022 2nd module
  0.4 * final presentation + 0.15 * attendance of lectures + 0.45 * presentations and tasks completed/presented during the seminar

Bibliography

Recommended Core Bibliography

• McGarry, T., Sampaio, A. J. de E., & O’Donoghue, P. (2013). Routledge Handbook of Sports Performance Analysis. Routledge.
• Tobias M. Scholz. (2019). ESports Is Business : Management in the World of Competitive Gaming. Palgrave Pivot.

Recommended Additional Bibliography

• Anna Bykova, & Dennis Coates. (2020). Does Experience Matter? Salary Dispersion, Coaching, And Team Performance. Contemporary Economic Policy, 1, 188. https://doi.org/10.1111/coep.12444
• Frick, B., & Simmons, R. (2006). Impact of Managerial Quality on Organizational Performance. Evidence from German Soccer. Efficiency Series Papers.
• Julio Del Corral, Carlos Pestana Barros, & Juan Prieto-Rodríguez. (2008). The Determinants of Soccer Player Substitutions. Journal of Sports Economics, 2, 160.
• Michael R. Ward, & Alexander D. Harmon. (2019). ESport Superstars. Journal of Sports Economics, 8, 987. https://doi.org/10.1177/1527002519859417
• Sarmento, H., Marcelino, R., Anguera, M., Campaniço, J., Matos, N., & Leitão, J. (2015). Match analysis in football: a systematic review. https://doi.org/10.1080/02640414.2014.898852
• Seo, Y. (2013). Electronic sports: A new marketing landscape of the experience economy. Journal of Marketing Management, 29(13–14), 1542–1560. https://doi.org/10.1080/0267257X.2013.822906