Experimental Design In Plant Biology
Biology
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Experimental Design In Plant Biology | BIO526 | Elective | Master's degree | 1 | Spring | 8 |
Name of Lecturer(s)
Assistant Prof. Dr. Arda ACEMİ
Learning Outcomes of the Course Unit
1) Learns to make and test hypotheses
2) Learns to adjust sample size according to experimental factors and variables
3) Learns the usage areas of variance analysis and multiple comparison tests
4) Learns to visualize data
5) Learns to make statistical interpretation of numerical data
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||||||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | ||
| Learning Outcomes | ||||||||||||||||||||||||||||||
| 1 | Low | No relation | Low | Low | Middle | Low | No relation | No relation | No relation | No relation | Middle | High | No relation | Middle | No relation | No relation | Middle | Middle | No relation | No relation | No relation | No relation | Middle | No relation | No relation | No relation | No relation | Middle | High | |
| 2 | Middle | No relation | Low | No relation | Middle | Low | No relation | No relation | No relation | No relation | Middle | High | No relation | Middle | No relation | No relation | Middle | Middle | No relation | No relation | No relation | No relation | Middle | No relation | No relation | No relation | No relation | Middle | High | |
| 3 | Middle | No relation | Low | No relation | Middle | Low | No relation | No relation | No relation | No relation | Middle | High | No relation | Middle | No relation | No relation | Middle | Middle | No relation | No relation | No relation | No relation | Middle | No relation | No relation | No relation | No relation | Middle | High | |
| 4 | Middle | No relation | Low | No relation | Middle | Low | No relation | No relation | No relation | No relation | Middle | High | No relation | Middle | No relation | No relation | Middle | Middle | No relation | No relation | No relation | No relation | Middle | No relation | No relation | No relation | No relation | Middle | High | |
| 5 | Middle | No relation | Low | No relation | Middle | Low | No relation | No relation | No relation | No relation | Middle | High | No relation | Middle | No relation | No relation | Middle | Middle | No relation | No relation | No relation | No relation | Middle | No relation | No relation | No relation | No relation | Middle | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Determination of the sample size in the experiments carried out in plant biology studies, especially plant physiology and biotechnology. Data analysis of the observed variables according to the tested factors. Explanation of the statistical tests and their uses. Visualization of the data and having the students make a sample experimental design.
Weekly Schedule
1) Determination of the study question with sample articles2) Establishment of a hypothesis in response to a specified question
3) Determination of independent and dependent variables in the study
4) Determination of the sample size
5) Experiment setup and creation of plan B against possible risks
6) Data collection and processing
7) Interpretation of data, and determination of a possible correlation between them
8) Midterm Exam
9) Analysis of the standard deviation or error of data
10) Selection of a variance analysis model, and interpretation of results
11) Selection of a multiple comparison test, and interpretation of results
12) Interpretation of numerical results with sample articles
13) Introduction to graphical methods used to visualize data
14) Advantages and disadvantages of various experimental designs
15) Experimental design presentations
16) Final Exam
Recommended or Required Reading
1- Herzog, M. H., Francis, G., & Clarke, A. (2019). Understanding statistics and experimental design: How to not lie with statistics. Springer.
2- Wilke, C. O. (2019). Fundamentals of data visualization – A primer on making informative and compelling figures. O’Reilly.
3- Compton, M. E. (2000). Statistical analysis of plant tissue culture data, (in) Trigiano, R. G. (ed) Plant tissue culture concepts and laboratory exercises. Routledge
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required