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  Course Description
Course Name : Experimental Techniques in Horticulture 2

Course Code : BB-606

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Spring (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Prof.Dr. SEVGİ PAYDAŞ

Learning Outcomes of the Course : Learns about the wide range of methods used in experimental design in horticulture and transfer this knowledge to application.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : BB-615 Experimental Techniques in Horticulture 1

Recommended Optional Programme Components : None

Aim(s) of Course : The aim of this course is to remind how to set up an experiment and experimental design, to provide theoretical and practical knowledge about factorial experimental design, split-plot experimental design, split-split plot experimental design.

Course Contents : The contents of this course include information on how to set up an experiment and conduct research by using experimental design, theoretical and practical knowledge of 2 and 3 factorials experimental design (random parcel, random block, latin square), split-plot experimental design (random parcel, random block, latin square), split-split plot experimental design (random parcel, random block, latin square).

Language of Instruction : Turkish

Work Place : Under Graduate Classroom of Horticulture Department


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 A brief reminder of experimental planning, objectives, analysis of variance, number of repetition Reading the related lecture notes. Straight narrative technique, power point presentation, discussion
2 Factorial Experimental design (theoretical solutions and the use of software packages) Reading the related lecture notes. Straight narrative technique, power point presentation, discussion and solving problems
3 Factorial Experimental design (Two-factors and random plots) (theoretical solutions and the use of software packages) Reading the related lecture notes. Straight narrative technique, power point presentation, discussion and solving problems
4 Factorial Experimental design (Two-factors and random block) (theoretical solutions and the use of software packages) Reading the related lecture notes. Straight narrative technique, power point presentation, discussion and solving problems
5 Factorial Experimental design (Two-factors and latin square) (theoretical solutions and the use of software packages) Reading the related lecture notes. Straight narrative technique, power point presentation, discussion and solving problems
6 Factorial Experimental design (Three-factors and random plots) (theoretical solutions and the use of software packages) Reading the related lecture notes. Straight narrative technique, power point presentation, discussion and solving problems
7 Factorial Experimental design (Three-factors and random block) (theoretical solutions and the use of software packages) Reading the related lecture notes. Straight narrative technique, power point presentation, discussion and solving problems
8 Factorial Experimental design (Three-factors and latin square) (theoretical solutions and the use of software packages) Reading the related lecture notes. Straight narrative technique, power point presentation, discussion and solving problems
9 Mid-term exam Praparation to the mid-term exam Written exam
10 Split plot experimental design (theoretical solutions and the use of software packages) Reading the related lecture notes. Straight narrative technique, power point presentation, discussion and solving problems
11 Split plot experimental design (random plots) (theoretical solutions and the use of software packages) Reading the related lecture notes. Straight narrative technique, power point presentation, discussion and solving problems
12 Split plot experimental design (random block and latin square) (theoretical solutions and the use of software packages) ReadingReading the related lecture notes. of the papers about the lecture Straight narrative technique, power point presentation, discussion and solving problems
13 Split plot experimental design (theoretical solutions and the use of software packages) Reading the related lecture notes. Straight narrative technique, power point presentation, discussion and solving problems
14 Repeated experimental design (theoretical solutions and the use of software packages) Reading the related lecture notes. Straight narrative technique, power point presentation, discussion and solving problems
15 Repeated experimental design (theoretical solutions and the use of software packages) Reading the related lecture notes. Straight narrative technique, power point presentation, discussion and solving problems
16/17 Final exam Preparation to the final exam Written exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  
 
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 60
    Homeworks/Projects/Others 14 40
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Developing and improving the horticultural knowledge to professional level based on the bachelors degree qualifications 5
2 Understanding the horticulture and the interaction between the related disciplines 4
3 Solving problems by research methods and establishing cause-effect relationship 5
4 Using the theoretical and practical knowledge of Horticulture, supporting the related up to date progress with the quantitative and qualitative data, combining and interpreting the information and data obtained from different disciplines and developing new information and theories by synthesis. 4
5 Carrying out a study individually that requires professional knowledge in Horticulture 5
6 Analytically approaching in order to solve unpredictable and complex problems encountered in applications related to Horticulture, planning the research process, producing solutions by taking responsibility and evaluating-defending the obtained results 4
7 Leading in the situations when solving problems related to horticulture is necessary 4
8 Entering database related to horticulture, utilizing those sources and self-updating. 3
9 Evaluating the knowledge and skills in horticulture by criticism and directing their own learning process 3
10 Presenting their studies, developments of their expertise topic and research results by orally, written and taking advantage of visual equipments 5
11 Using software related to horticulture sufficiently and using information and communication technologies in advanced level 4
12 Obtaining data by scientific methods in order to solve a problem related to horticulture, establishing and interpreting the data by considering the scientific and ethical values 3
13 Using the assimilated horticultural knowledge in interdisciplinary studies, explaining, presenting and evaluating 3
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 4 56
    Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
    Homeworks, Projects, Others 14 2 28
    Mid-term Exams (Written, Oral, etc.) 1 12 12
    Final Exam 1 16 16
Total Workload: 140
Total Workload / 25 (h): 5.6
ECTS Credit: 6