Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SOCIAL SCIENCES / ANE-187 - ANTRENöRLüK EğITIMI ANABILIM DALı YüKSEK LISANS (ÖNERILEN)

Code: ANE-187 Course Title: TECHNOLOGICAL APPROACHES AND INNOVATION IN SPORTS Theoretical+Practice: 3+0 ECTS: 5
Year/Semester of Study 1 / Fall Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department ANTRENöRLüK EğITIMI ANABILIM DALı YüKSEK LISANS (ÖNERILEN)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer ERHAN IŞIKDEMİR (erhanisikdemir@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The aim of this course is to introduce students to technological innovations and innovation approaches used in the field of sports, to enable them to understand the impact of these technologies on athletic performance, training processes, and organizational management, and to develop their analytical and problem-solving skills related to technological applications in sports sciences.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Defines technological tools and innovation approaches used in sports. PO-10 Can use digital sports technologies and data analytics to assess and improve athletes' performance.
PO-14 Can utilize educational technologies to develop digital and innovative teaching models in sports sciences.
Examination
LO-2 Analyzes wearable technologies and athlete monitoring systems and explains effective ways to use them. PO-10 Can use digital sports technologies and data analytics to assess and improve athletes' performance.
Examination
LO-3 Applies software and devices used for measuring and analyzing sports performance. PO-4 Can design training programs based on scientific principles and apply them at an individual or team level.
PO-10 Can use digital sports technologies and data analytics to assess and improve athletes' performance.
Examination
LO-4 Evaluates the applications of artificial intelligence, virtual reality and augmented reality technologies in sports. PO-10 Can use digital sports technologies and data analytics to assess and improve athletes' performance.
Examination
LO-5 Analyzes the effects of technological innovations on sports organizations. PO-10 Can use digital sports technologies and data analytics to assess and improve athletes' performance.
Examination
LO-6 Discusses the ethical dimensions of technology and sustainability strategies in sports sciences. PO-10 Can use digital sports technologies and data analytics to assess and improve athletes' performance.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
This course covers technological tools and innovation applications used in sports, including wearable technologies, data analytics, athlete monitoring systems, and simulation technologies. It also examines the functions of software and devices used for performance measurement and analysis in sports, and discusses the applications of artificial intelligence, virtual reality, and augmented reality. The course further explores the effective management of technological innovations in sports organizations, ethical considerations, and the use of technology for sustainable sports.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction to technology and innovation in sports Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
2 Wearable technologies and their applications in sports performance Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
3 Athlete monitoring systems: GPS, heart rate monitors, and other tools Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
4 Data analytics and decision support systems in sports Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
5 Software and devices used in sports performance measurement Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
6 Role of artificial intelligence in sports performance and management Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
7 Applications of virtual and augmented reality in sports Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
8 mid-term exam
9 Simulation technologies in sports and their applications in training processes Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
10 Managing technological innovations in sports organizations Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
11 Ethical dimensions and usage guidelines of technology in sports Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
12 Sustainable sports and eco-friendly technological solutions Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
13 Case studies: Impacts of technology and innovation on sports Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
14 Future of next-generation technologies in sports sciences Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
15 Project presentations and group evaluations Lectures and Discussions, Applied Technology Use, Case Studies, Group Work and Project Presentations
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Ertan, H., & Köklü, Y. (Eds.). (2020). Spor bilimlerinde güncel teknolojiler ve uygulamalar. Nobel Akademik Yayıncılık.
Required Course instruments and materials
Wearable technologies (smart watch, heart rate monitor), Simulation and virtual reality equipment (VR glasses), Athlete monitoring systems (GPS-based performance tracking systems, LPS systems), E-learning platforms (Moodle, Google Classroom, Microsoft Teams), Computer, projector and course presentations (PowerPoint, PDF).

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 0
       b) Search in internet/Library 8 3 24
       c) Performance Project 5 2 10
       d) Prepare a workshop/Presentation/Report 5 3 15
       e) Term paper/Project 8 2 16
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 7 2 14
mid-term exam 1 1 1
Own study for final exam 7 2 14
final exam 1 1 1
0
0
Total work load; 137