Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Research and Trial Methods TB302 Turkish Compulsory 6. Semester 2 + 0 2.0 3.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator
Instructor(s)
Goals To train students in understanding of basic principles of developing and research. To provide knowledge on basic principles of agricultural experiments. To give knowledge on statistical principles in planning experiments. To train students in statistically analysis of agricultural experimentals.
Course Content The establishment of the trials, evaluation of the data obtained, the establishment of special trial for the field, collecting data from them and evaluating relevant information and concepts for the interpretation of these data
Learning Outcomes
# Öğrenme Kazanımı
1 Be able to understand research idea and it’s important in development
2 Be able to know on principles of developing and research
3 Be able to earn skill on planning of research projects and their evaluation on the base national and international
4 Be able to select suitable experimental design in order to increase truth degree in experiment
5 Be able to measure and observe the characters according to statistical principles
6 Be able to select suitable experimental design according to purpose of research
7 Be able to earn skill on conducte of trials in good health and niceness
8 Be able to earn skill on right and objective deciding
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Introduction to Research and Experimental Methods ; Research and it’s role in development Research and Scientific Method, planning of the researches in the national, kinds of research Class Hours Interview Presentation (Preparation)
2. Week Arangement of the agricultural trials, increase truth degree in experiment, experimental error and factors decreasing it. Kinds of the agricultural trial Presentation (Preparation) Class Hours Interview
3. Week Basic and statistical principals; mean, Standard error of mean, Standard deviation, estimation of mean of teorical treatment population, Bartlett, Levene and F tests, significance test Class Hours Presentation (Preparation) Interview
4. Week Comparison of two groups ; paired samples Class Hours Presentation (Preparation) Interview
5. Week Comparison of two groups ; independend samples method Presentation (Preparation) Interview Class Hours
6. Week Analysis of variance (ANOVA); significance tests and estimation of variance components Interview Presentation (Preparation) Class Hours
7. Week Introduction to experimental desing; Completely randomized design and analysis Presentation (Preparation) Interview Class Hours
8. Week Midterm Examination
9. Week Grouping of different treatments; LSD and Duncan’s multiple range tests and orthogonal comparisons Presentation (Preparation) Interview Class Hours
10. Week Completely randomized design (with different replication number) and analysis Interview Presentation (Preparation) Class Hours
11. Week Two-way classifications; Randomized block design Interview Presentation (Preparation) Class Hours
12. Week Statistically analysis and significance tests in randomized block design Presentation (Preparation) Interview Class Hours
13. Week Latin Square Design; analysis of variance and significance tests Presentation (Preparation) Class Hours Interview
14. Week Two factorial experiments; statistically analysis and significance test and Three factorial; experiments statistically analysis and significance Presentation (Preparation) Interview Class Hours
*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 Skill of apply basic science and engineering knowledge and principles to Agricultural Engineering problems
2 He/she can use the information in his/her area to solve problems and use his/her applying skills in interdiscipliner studies
3 He/she can conduct an independed research in a specified area related with field crops
4 He/she can develop new strategic approaches and can produce solutions taking the responsibility, to the problems unexpected or faced in the practice related with field crops
5 He/she can develope a positive attitute to the lifelong education by knowledge and skils gained in field crops area
6 He/she can control the data collection, evaluation and publication, keeping cultural and scientific and ethical values and can teach these values.
7 He/she can develop strategy, policy and applying plans and can discuss the results obtained in the framework of quality management periods
8 Self-development skill following the developments in science and technology
9 He/she can transfer his/her works and the developlmets in his/her area in a written, audial and visual way.
10 He/she can evaluate the knowledge and skills in field crops area in specified level with a criticising approach
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7 DK8
PY1 3 3 3 3 3 3 3 3
PY2 3 3 3 3 3 3 3 3
PY3 4 4 4 4 4 4 4 4
PY4 4 4 4 4 4 4 4 4
PY5 5 5 5 5 5 5 5 5
PY6 4 4 4 4 4 4 4 4
PY7 3 3 3 3 3 3 3 3
PY8 4 4 4 4 4 4 4 4
PY9 4 4 4 4 4 4 4 4
PY10 4 4 4 4 4 4 4 4
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • 1.Turan, Z.M., 1995. Araştırma ve Deneme Metodları. UÜZF Ders Notları No : 62 ,Bursa. 2. Gomez,K.A.,and A.A.Gomez.1983.Statistical Procedures for Agricultural Research.John Wiley Sons, Newyork. 3.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 2 28
Sınavlar
Midterm 1 1 10 10
Homework 1 1 18.5 18.5
Final 1 20 20
Total Workload 76.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 3.0