COURSE UNIT TITLE

: SCIENCE AND RESEARCH ETHICS (ELECTIVE)

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BGK 5004 SCIENCE AND RESEARCH ETHICS (ELECTIVE) ELECTIVE 2 0 0 3

Offered By

PHYSICAL EDUCATION AND SPORTS TEACHING

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ÖZKAN TÜTÜNCÜ

Offered to

PHYSICAL EDUCATION AND SPORTS TEACHING

Course Objective

The main purpose of this course is to teach students how to ensure data collection, data evaluation, report writing techniques by examining the research process (problem identification, data collection, data analysis and interpretation of results) and the scientific research methods (experimental method, descriptive method , historical method, et al.).

Learning Outcomes of the Course Unit

1   To be able to access to needed knowledge.
2   To be able to synthesize, analyze and interpret the information collected for research.
3   To be able to regard scientific and ethical values while collecting, evaluating the data needed as part of the research.
4   To be able to build, develop and implement a method for solving a problem within the scope of a scientific research and to evaluate the results.
5   To be able to solve the problems deriving from research applications by using research methods, developing new approaches and taking responsibilities.
6   To be able to do present the current affairs and their studies regarding research and ethic in science.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Scientific research design, objectivity problem in science, responsibilities of scientist and scientific institutions, the reasons of ethic in science
2 Definitions and causes of the defective behaviour in scientific research , research project, the search for methods of data acquisition and storage
3 Scientific research topic and identification of the problem, sources of information, literature review, goal setting, hypotheses and modeling
4 Non- empirical and empirical design types, data sources , techniques, data collection method
5 Facts and theorisation relation, measurement and scaling, reliability and validity issue
6 Sampling problem and limitedness in research (Midterm exam will also be held this week after course hour)
7 Analysis method in univariate and multivariate analyses
8 Mid term exam
9 Results and inference
10 Conversion of scientific knowledge to publication (bibliography, writing methods)
11 Conversion of scientific knowledge to publication, original thinking and scientific contributions
12 Sample Literature Debate
13 Sample Literature Debate
14 Basic references, bibliography writing, title, abstract, content compliance, actions to be taken against unethical behaviourB

Recomended or Required Reading

Robert A. Day, Bilimsel Bir Makale Nasıl Yazılır ve Yayımlanır , Çeviri: Gülay Aşkar Altay, Tübitak , 2000

Planned Learning Activities and Teaching Methods

Topics will be analyzed and discussed both theoretically and by case studies.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 VZ Ara Sınav
2 FN Yarıyılsonu Sınavı
3 BNS BNS VZ * 0.40 + FN * 0.60
4 BUT Bütünleme Notu
5 BBN Bütünleme Sonu Başarı Notu VZ * 0.40 + BUT * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

Assessment includes; case studies, role playing, discussion, team work, presentation and written examination besides theoretical analysis. Students will be assessed according to their midterm and final examinations, presentation of term projects and participation (Please see: Course Policies and Rules).

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Turabiye Mah. Beyler Cad. No:4 Seferihisar/Izmir

Tel: + 90 (232) 743 51 10

ozkan.tutuncu@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparations before/after weekly lectures 12 1 12
Preparation for midterm exam 1 10 10
Preparation for final exam 1 12 12
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 64

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.143
LO.244
LO.344
LO.444
LO.544
LO.644