Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Research and Experimental Methods ZFZ302 Turkish Compulsory 6. Semester 2 + 1 3.0 3.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator
Instructor(s)
Goals The fundamental objective of the course is to instill in undergraduate students the logic of research and its significance in development, and to instruct them on the statistical principles for planning experiments, the statistical evaluation of data obtained from experiments in accordance with the experimental design, and the interpretation of the results.
Course Content Introduction to variance analysis, It's all about chance, The randomized blocks trial plan, Latin square trial plan, Factorial arrangements, Divided parcel trial plan Repeated experiments Orthogonal comparisons Correlation and regression analysis Non parametrik Tests
Learning Outcomes
# Öğrenme Kazanımı
1 The student comprehends the logic of research and the significance of research in development.
2 The student acquires the principles of research and development.
3 The student attains proficiencies in the planning and evaluation of research projects on a national and international basis.
4 The student implements appropriate experimental principles to enhance the degree of accuracy and reliability in the experiment.
5 The student acquires the competency for conducting observations and obtaining data in accordance with statistical principles.
6 The student selects the experimental design appropriate to the objective of the research.
7 The student acquires the skills for the execution of experiments.
8 The student acquires the competency for making accurate and unbiased decisions.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Research and Scientific Method, Types of Research, Planning of Research at the National Level, Research and Development Infrastructure in Our Country. Presentation (Preparation), Practice
2. Week Arrangement of Experiments, Enhancement of Accuracy in Experiments, and Types of Agricultural Experiments Presentation (Preparation), Practice
3. Week Some Fundamental and Statistical Concepts: Mean, Variance and Standard Deviation, Estimation of the Mean of Theoretical Treatment Populations, Estimation of the Difference between the Means of Two Theoretical Treatment Populations, F-Distribution, F-Test, and Bartlett's and Levene's Tests, Hypothesis Testing and Significance Tests Presentation (Preparation), Practice
4. Week Comparison of Two Groups or Treatments: Paired Comparison Method. Presentation (Preparation), Practice
5. Week Comparison of Two Groups or Treatments: Independent Groups Method Presentation (Preparation), Practice
6. Week Analysis of Variance Technique: Test of Significance and Estimation of Variance Components Presentation (Preparation), Practice
7. Week Introduction to Experimental Designs and Completely Randomized Design Presentation (Preparation), Practice
8. Week Completely Randomized Design Presentation (Preparation), Practice
9. Week Grouping of Different Treatments: Grouping by Testing Pairwise Differences of Treatment Means and Class Comparisons Presentation (Preparation), Practice
10. Week Completely Randomized Designs with Unequal Replication Presentation (Preparation), Practice
11. Week Two-Way Classifications: Randomized Complete Block Design Presentation (Preparation), Practice
12. Week Experimental examples concerning analysis of variance and significance tests in the Randomized Complete Block Design. Presentation (Preparation), Practice
13. Week Latin Square Design: Analysis of Variance Technique in the Latin Square Presentation (Preparation), Practice
14. Week Factorial Experimental Designs; Two-Factor Experiments and Three-Factor Experiments Presentation (Preparation), Practice
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Utilizes knowledge of natural sciences and mathematics in developing various processes in their field.
2 Demonstrates adherence to ethical and deontological principles in decision-making and implementation processes.
3 Utilizes scientific and technological developments in the applications within their field.
4 Combines fundamental engineering knowledge with technical tools to solve engineering problems in their field using an analytical approach.
5 Designs all technical systems, system components, and production processes relevant to their field.
6 Implements plant and animal production processes in accordance with scientific and technical principles.
7 Utilizes data-driven core technologies in agricultural production processes.
8 Applies sustainability principles and approaches to agricultural processes.
9 Utilizes managerial and institutional knowledge related to agriculture, while considering (or observing) global and local developments.
10 Manages soil and water resources and agricultural waste sustainably by integrating scientifically based irrigation, drainage, and soil conservation systems with precision agriculture and digital water management technologies.
11 Designs agricultural machinery and equipment for agricultural production and post-harvest processes, evaluates their performance, and enhances their efficiency through automation.
12 Develops functional and environmentally sensitive solutions in the design of agricultural structures (such as greenhouses, barns, and pens) by utilizing modern engineering and construction technologies.
13 Analyzes energy efficiency for agriculture and develops effective systems by integrating biofuel production and other sustainable energy sources
14 Analyzes precision agriculture data (such as satellite imagery, unmanned aerial vehicles (UAVs), and handheld radiometers) to develop and implement systems that optimize resource management.
15 Executes entrepreneurial projects developed based on legal and ethical boundaries by following current developments, manages them through interdisciplinary collaboration, and transfers the acquired knowledge to stakeholders.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7 DK8
PY1 1 1 1 1 1 1 1 1
PY2 1 1 1 1 1 1 1 1
PY3 1 1 1 1 1 1 1 1
PY4 1 1 1 1 1 1 1 1
PY5 1 1 1 1 1 1 1 1
PY6 1 1 1 1 1 1 1 1
PY7 5 5 5 5 5 5 5 5
PY8 1 1 1 1 1 1 1 1
PY9 1 1 1 1 1 1 1 1
PY10 1 1 1 1 1 1 1 1
PY11 1 1 1 1 1 1 1 1
PY12 1 1 1 1 1 1 1 1
PY13 1 1 1 1 1 1 1 1
PY14 1 1 1 1 1 1 1 1
PY15 1 1 1 1 1 1 1 1
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Turan, Z.M., 1995. Araştırma ve Deneme Metodları. UÜZF Ders Notları No : 62 ,Bursa.
  • Gomez,K.A.,and A.A.Gomez.1983.Statistical Procedures for Agricultural Research.John Wiley Sons, Newyork
  • Little,T.M.,andF.J.Hills.1977.Agricultural Experimentation.Design and Analysis.John Wiley Sons, Newyork.
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Ders Dışı
Research 14 2 28
Other Activities 9 0.5 4.5
Sınavlar
Midterm 1 1 1 1
Final 1 1 1
Total Workload 76.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 3.0