Information Package / Course Catalogue
Scientific Research Methods
Course Code: TE283
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 4
Objectives of the Course

In the scientific explanation of events, it is inevitable to collect, analyze and use statistical data in all branches of science. The aim of the Agricultural Data Sources and Use course, which is based on the analysis and interpretation of problems in agriculture, is to produce solutions with a systematic approach to events and phenomena within the framework of scientific thinking method, and to have young researchers study based on primary data in the field of Agricultural Economics.

Course Content

Research process (problem identification, data collection, data analysis and interpretation of results), major scientific research methods (experimental method, descriptive method, historical method, etc.) and data analysis methods (non-parametric statistics), literature review, data collection, data editing, analysis and interpretation and report writing techniques.

Name of Lecturer(s)
Lec. Halil İbrahim YILMAZ
Learning Outcomes
1.Recognition and understanding of general and agricultural economics concepts, gaining a holistic approach to their subjects,
2.Ability to recognize, analyze and resolve problems
3.Critical and analytical thinking skills
4.Learns Scientific Research Preparation Stages
5.The ability to produce, implement and evaluate projects
Recommended or Required Reading
1.Oğuzlar, Ayşe. İstatistiksel veri analizi 1: SPSS ve MİNİTAB uygulamalı. Ezgi Kitabevi Yayınları, 2007.
2.Büyüköztürk, Şener. Sosyal bilimler için veri analizi el kitabı. Pegem Atıf İndeksi (2018): 001-214.
Weekly Detailed Course Contents
Week 1 - Theoretical
Specifying the Scope and Purpose of the Course
Week 2 - Theoretical
Characteristics of the Data Used in the Study and Data Collection Methods
Week 3 - Theoretical
Research Phases
Week 4 - Theoretical
Data Collection on the research topic
Week 5 - Theoretical
The nature of the data used in scientific research
Week 6 - Theoretical
Examining data sources
Week 7 - Theoretical
Data collection methods
Week 8 - Theoretical
Sampling Concept and Methods in Agricultural Economics
Week 9 - Theoretical
Concepts and Terms Related to Sampling, Applications
Week 10 - Theoretical
Selection of the Most Appropriate Sampling Method
Week 11 - Theoretical
References in scientific research
Week 12 - Theoretical
Arrangement of resources in scientific research.
Week 13 - Theoretical
Things to consider when writing scientific research
Week 14 - Theoretical
Examination of case studies
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Lecture - Practice141242
Midterm Examination1314
Final Examination1314
TOTAL WORKLOAD (hours)106
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
5
5
5
5
2
5
4
3
3
3
OÇ-2
5
5
5
5
3
3
5
3
3
3
OÇ-3
5
3
3
4
3
3
3
3
3
5
OÇ-4
5
5
5
5
2
1
1
1
5
5
OÇ-5
5
5
2
3
3
3
3
3
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026