PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ANT 642	APPLIED ANALYSIS ON SPORT SCIENCES	3 + 1	3rd Semester	6

COURSE DESCRIPTION

Course Level	Doctorate Degree
Course Type	Elective
Course Objective	The purpose of the lecture is to help students to gain skills and knowledge about principle concepts, data monitoring and data analysis related to the research on sport sciences.
Course Content	The lecture focuses on practical applications of statistics. Data collection and data analysis and interpretation skills of the results of statistical anaysis will be focused. Emphasis will be placed on computer software-based analysis. This course is an overview of parametric and non-parametric statistical methods utilized in sports and exercise science.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

...

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11
LO 001	5	4	4	5	5	5	5	4	5	5	4
Sub Total	5	4	4	5	5	5	5	4	5	5	4
Contribution	5	4	4	5	5	5	5	4	5	5	4

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Assignments	2	22	44
Midterm	1	35	35
Exam	1	35	35
Total Work Load ECTS Credit of the Course			156 6

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
ANT 642	APPLIED ANALYSIS ON SPORT SCIENCES	3 + 1	1	Turkish	2023-2024 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Prof. Dr. AYŞE GÖKÇE ERTURAN	agerturan@pau.edu.tr		SBF A0110	%60

Goals		The purpose of the lecture is to help students to gain skills and knowledge about principle concepts, data monitoring and data analysis related to the research on sport sciences.
Content		The lecture focuses on practical applications of statistics. Data collection and data analysis and interpretation skills of the results of statistical anaysis will be focused. Emphasis will be placed on computer software-based analysis. This course is an overview of parametric and non-parametric statistical methods utilized in sports and exercise science.

Topics

Weeks	Topics
1	Introduction to the requrements of the lesson and laboratory
2	Problem statement, hypothesis, types of variable
3	SPSS data entrance, descriptive statistics, Calculating sum and mean on scale items (compute), reverse coding (recode)tables
4	Independent samples t test, paired samples t test
5	Pearson Correlation analysis, Linear regression analysis
6	One way ANOVA
7	Two way ANOVA
8	One way MANOVA
9	Mid term
10	Repeated measures ANOVA, Two way repeated measures analysis of variance
11	One way ANCOVA
12	nonparametric tests
13	Homework presentation
14	Final exam

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student