COURSE UNIT TITLE

: SPECIAL STATISTICAL METHODS IN EXERCISE PHYSIOLOGY

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EFZ 5023 SPECIAL STATISTICAL METHODS IN EXERCISE PHYSIOLOGY ELECTIVE 1 2 0 5

Offered By

Exercise Physiology

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR BERKANT MUAMMER KAYATEKIN

Offered to

Exercise Physiology

Course Objective

Exercise Physiology provides students with practical experience in preparing, analysing and reporting findings related to exercise physiology and other health-related data. This includes data cleaning, data file creation and management, basic descriptive statistics, biostatistical analysis and data interpretation, analysis and reporting of findings.

Learning Outcomes of the Course Unit

1   Knows the basic concepts related to exercise physiology data.
2   Can use data collection tools related to Exercise Physiology.
3   Understand the statistical methods used in studies by reading the literature.
4   Apply statistical analysis methods in the field of Exercise Physiology.
5   . Can make and evaluate statistical analysis and reporting in Exercise Physiology researches.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Definition of statistics Powert analyses
2 Usage areas of statistics One Way ANOVA, Two Way ANOVA
3 Definition of mean, standard error, standard deviation Types of research
4 Definition of dependent and independent variables Sample number calculation
5 Definition and use of P value and significance Term presentation
6 Detection of difference between variables
7 Determination of the relationship between variables
8 The importance of normal distribution and its application to data
9 Multiple analyses
10 The difference between parametric and non-parametric tests

Recomended or Required Reading

1.Sağlıkta Araştırma ve Çözümleme, 2006 (Gazanfer Aksakoğlu),
2.Bilimsel Araştırmalarda SPSS for Windows, 1995 (Mustafa Ergün),
3. Bilgisayar Istatistik ve Tıp, 1995 (Murat Hayran, Oktay Özdemir).

Planned Learning Activities and Teaching Methods

Theoretical lectures, test preparation, homework preparation, laboratory practice.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE ASG * 0.50+ FIN* 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.50+ RST* 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Learning outcomes will be evaluated in the final exam with classical written long answer questions.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

hulya.ellidokuz@deu.edu.tr
kayabm@deu.edu.tr

Office Hours

Tuesday 12:30-13:30

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 15 3 45
Preparations before/after weekly lectures 5 3 15
Preparation for final exam 1 20 20
Preparing assignments 2 10 20
Preparing presentations 2 10 20
Final 1 5 5
TOTAL WORKLOAD (hours) 125

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.1111111
LO.22222
LO.33333
LO.4444444
LO.5555555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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