Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
RESEARCH METHODS 802400715000 1 + 0 1.0 3.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors Mustafa Muhip ÖZKAN
Assistants
Goals The purpose of the course is to let the students have the information necessary for answering the following questions: What is research, how to research, why to research, what kinds of research could be established, which steps are there in a research.
Course Content Basic concepts related to research, kinds of research, stages of a research, choice of the research subject, planning the research, data types, how to collect the data, sampling methods, statistical methods used in evaluating the results of research, writing the result of the research
Learning Outcomes 1) Students taking this course; have information on basic concepts used in statistics,
2) Students taking this course learns the importance of experimenting, what experimental material is, importance of experimental material for selection of suitable experimental design,
3) Students taking this course learns the criteria required for the most suitable experimental design,
4) Students taking this course learns necessity of analyzing the data by appropriate statistical methods and interpretation and presentation of results,

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction to Statistic and information on why statistics are needed in research, Lecture; Question Answer; Problem Solving
Opinion Pool
 Homework
2. Week The basic concepts of statistics, Lecture; Question Answer; Problem Solving
Opinion Pool
 Homework
3. Week Importance of experiments in research Lecture; Question Answer
Opinion Pool
 Homework
4. Week The aims of experiments, Lecture; Question Answer; Discussion
Opinion Pool
 Homework
5. Week What is the experiment? How to organize an Experiment?, the criteria that should be considered, Lecture; Question Answer; Discussion
Opinion Pool
 Homework
6. Week What is the experiment? How to organize an Experiment?, the criteria that should be considered, Lecture; Question Answer; Problem Solving
Opinion Pool
 Homework
7. Week Variable types in experiment Lecture; Question Answer
Opinion Pool
 Homework
8. Week Variable types in experiment, Lecture; Question Answer
Opinion Pool
 Homework
9. Week Definition of experimental unit and material, Lecture; Question Answer
Opinion Pool
 Homework
10. Week The concepts of replication and parallel, the difference between parallel and replication, Lecture; Question Answer
Opinion Pool
 Homework
11. Week What is the experimental error? How to reduce experimental error? Lecture; Question Answer; Discussion
Opinion Pool
 Homework
12. Week What is the measure of experimental error? How to calculate ? Lecture; Question Answer; Problem Solving
Opinion Pool
 Homework
13. Week What the measure of experimental error is and how it is calculated Lecture; Question Answer; Problem Solving
Opinion Pool
 Homework
14. Week Data collection Lecture; Question Answer; Discussion
Opinion Pool
 Homework

Sources Used in This Course
Recommended Sources
1. Zahide KOCABAŞ, M. Muhip ÖZKAN ve Ensar BAŞPINAR (2013). Temel Biyometri, Ankara Üniversitesi, Ziraat Fakültesi, Yayın No: 1606, Ders Kitabi: 558.
2. Tahsin KESİCİ ve Zahide KOCABAŞ (2007). Biyoistatistik. Ankara Üniversitesi, Eczacılık Fakültesi, Biyoistatistik, Yayın No: 94.
3. Fikret GÜRBÜZ, Ensar BAŞPINAR ve Zahide KOCABAŞ (1995). Araştırma ve Deneme Metodları Uygulama Kılavuzu (II. Baskı). Ankara Üniversitesi, Ziraat fakültesi, Yayın No: 1431, Uygulama Kılavuzu: 244.
4. Douglas C. MONGOMERY (2001). Design and Analysis of Experiments. 5th Edition. John Wiley & Sons, Inc.
5. Orhan DÜZGÜNEŞ, Tahsin KESİCİ, Orhan KAVUNCU ve Fikret GÜRBÜZ (1987). Araştırma ve Deneme Metodları (istatistik Metodları-II). Ankara Üniversitesi, Ziraat fakültesi Yayınları:1021, Ders Kitabı: 295.
6. B. J. WINNER, Donald R. BROWN and Kenneth M. MICHELS. (1991). Statistical Principles in Experimental Design. 3rd Edition. McGraw Hill, Inc., USA.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4
PY153000
PY250000
PY350000
PY450000
PY550000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 1
Work Hour outside Classroom (Preparation, strengthening) 14 3
Homework 5 6
Final Exam 1 2
Time to prepare for Final Exam 1 5
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload