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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 enable students to learn match and competition analysis methods across various sports disciplines, and to apply these analyses in training planning and performance enhancement. The course also aims to equip students with competencies in analytical thinking, data collection, data analysis, and reporting. |
Learning Outcomes | PO | MME | |
The students who succeeded in this course: | |||
LO-1 | Understand and define the basic concepts of match and competition analysis. |
PO-11 Adopts multidisciplinary approaches in sports sciences and can collaborate with other disciplines. PO-12 Can apply performance analysis and evaluation processes to support the development of athletes. |
Examination |
LO-2 | Ability to perform technical, tactical and performance analyses in different sports branches. |
PO-11 Adopts multidisciplinary approaches in sports sciences and can collaborate with other disciplines. PO-12 Can apply performance analysis and evaluation processes to support the development of athletes. |
Examination |
LO-3 | Develop skills in analyzing sports events using modern video analysis software. |
PO-12 Can apply performance analysis and evaluation processes to support the development of athletes. |
Examination |
LO-4 | Supporting tactical decision-making processes by conducting competitor analysis. |
PO-10 Can use digital sports technologies and data analytics to assess and improve athletes' performance. PO-12 Can apply performance analysis and evaluation processes to support the development of athletes. |
Examination |
LO-5 | Gain the ability to integrate match and competition analysis data into reporting and training programs. |
PO-3 Can effectively carry out data collection, analysis, and reporting processes related to sports sciences. PO-12 Can apply performance analysis and evaluation processes to support the development of athletes. |
Examination |
LO-6 | Apply analytical thinking and problem-solving skills in the context of performance enhancement in sports. |
PO-3 Can effectively carry out data collection, analysis, and reporting processes related to sports sciences. PO-12 Can apply performance analysis and evaluation processes to support the development of athletes. |
Examination |
LO-7 | Ability to follow innovative technologies and methods in the field of sports sciences and coaching. |
PO-13 Acquires theoretical knowledge in sports management and organization and can apply it in the sports industry. PO-14 Can utilize educational technologies to develop digital and innovative teaching models in sports sciences. |
Examination |
PO: Programme Outcomes MME:Method of measurement & Evaluation |
Course Contents | ||
This course covers the definitions and key concepts related to match and competition analysis, performance analysis methods in sports, video analysis techniques and software, sport-specific applications of technical and tactical analysis, match analysis processes in individual and team sports, data collection tools and analytical systems, opponent analysis practices, the use of analyses in performance monitoring and enhancement, the reporting and presentation of analysis results, and the integration of analytical data into training programs. | ||
Weekly Course Content | ||
Week | Subject | Learning Activities and Teaching Methods |
1 | Introduction to match and competition analysis: Definitions and key concepts | Discussion Method, Expression Method, Group Work, Skill Development Study |
2 | Performance analysis methods in sports | Discussion Method, Expression Method, Group Work, Skill Development Study |
3 | Introduction to video analysis techniques and software | Discussion Method, Expression Method, Group Work, Skill Development Study |
4 | Fundamental principles of technical and tactical analysis | Discussion Method, Expression Method, Group Work, Skill Development Study |
5 | Match and competition analysis in individual sports | Discussion Method, Expression Method, Group Work, Skill Development Study |
6 | Match and competition analysis in team sports | Discussion Method, Expression Method, Group Work, Skill Development Study |
7 | Data collection tools and application of analytical systems | Discussion Method, Expression Method, Group Work, Skill Development Study |
8 | mid-term exam | |
9 | Opponent analysis applications | Discussion Method, Expression Method, Group Work, Skill Development Study |
10 | Role of analysis in performance monitoring and development | Discussion Method, Expression Method, Group Work, Skill Development Study |
11 | Reporting and presenting analysis results | Discussion Method, Expression Method, Group Work, Skill Development Study |
12 | Integration of analytical data into training programs | Discussion Method, Expression Method, Group Work, Skill Development Study |
13 | Analytical thinking and problem-solving applications | Discussion Method, Expression Method, Group Work, Skill Development Study |
14 | Advanced video analysis techniques and software applications | Discussion Method, Expression Method, Group Work, Skill Development Study |
15 | Project presentations and group evaluations | Discussion Method, Expression Method, Group Work, Skill Development Study |
16 | final exam | |
Recommend Course Book / Supplementary Book/Reading | ||
1 | Tütüncü, O. (2022). Futbolda maç ve performans analizi: Performansı geliştirmek için sistematik bir yaklaşım (1. baskı). Ötüken Neşriyat. | |
Required Course instruments and materials | ||
Computer (PC or laptop), PowerPoint presentations, Video analysis software (e.g., Supervisor), Camera or video archive with match footage, Coding templates and performance analysis forms Projector, Sample datasets (e.g., match statistics, individual performance data). |
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 | 14 | 3 | 42 |
c) Performance Project | 0 | ||
d) Prepare a workshop/Presentation/Report | 14 | 3 | 42 |
e) Term paper/Project | 0 | ||
Oral Examination | 0 | ||
Quiz | 0 | ||
Laboratory exam | 0 | ||
Own study for mid-term exam | 5 | 1 | 5 |
mid-term exam | 1 | 1 | 1 |
Own study for final exam | 5 | 1 | 5 |
final exam | 1 | 1 | 1 |
0 | |||
0 | |||
Total work load; | 138 |