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Information
| Unit | FACULTY OF AGRICULTURE |
| AGRICULTURAL MACHINERY AND TECHNOLOGIES ENGINEERING PR. | |
| Code | TMT411 |
| Name | Experimental Design and Statistical Test Methods |
| Term | 2020-2021 Academic Year |
| Semester | 7. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Uzaktan Öğretim |
| Catalog Information Coordinator | Prof. Dr. SAİT MUHARREM SAY |
| Course Instructor |
Prof. Dr. SAİT MUHARREM SAY
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To teach selection criteria of field trials and experimental design. To carry out analysis by using a software.
Course Content
Fundamentals of field trials. Main parameters and their explanation of common-use field experimental design. Examples from selected data sets.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learns about the principles and fundamentals of Experimental Design and Statistical Test Methods |
| LO02 | Learns about establishing the suitable statistical hypothesis on related search topic. |
| LO03 | Learns about deciding on appropriate experimental desing for selected experiment targets. |
| LO04 | Comprehends the planning principles of trials in the field and workshop. |
| LO05 | Performs the field planning and implemntation of selected experimental design. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Knows the concepts of basic science, engineering, general agricultural and agricultural machinery and other social-cultural subjects in order to have proficiency for agricultural machinery education and get current information. | 1 |
| PLO02 | - | Learns the use and conservation of natural and fossil energy sources in agricultural production. | 0 |
| PLO03 | - | Learns the production methods of agricultural machinery, knows and selects materials. | 0 |
| PLO04 | - | Be aware of the universal and social effects of professional practices, to comprehend the importance of entrepreneurship and innovation issues. | 2 |
| PLO05 | - | Learns the basic applications of agricultural machinery in terms of setting, maintenance, field using and related problems. | 0 |
| PLO06 | - | Applies sustainable production models which are suitable for mechanization in agricultural enterprises, creates and manages the optimum mechanization chain. | 0 |
| PLO07 | - | Knows and applies the standards, laws and regulations of agricultural machinery. | 0 |
| PLO08 | - | Identifies the problems that can be solved within the scope of agricultural mechanization in plant and animal production and makes selection from existing agricultural machinery. | 4 |
| PLO09 | - | Learns and applies the methods for self-improvement in a professional sense. | 4 |
| PLO10 | - | Plans and manages the production, marketing and service network of agricultural machinery. | 0 |
| PLO11 | - | Have general proficiency on basic engineering and agricultural engineering, specifically in the field of Agricultural Machinery. | 2 |
| PLO12 | - | Supports the companies working in the field of agricultural machinery for R & D and technology development. | 3 |
| PLO13 | - | Learns new applications and software for agricultural machinery design. | 1 |
| PLO14 | - | Communicates with the representatives of the manufacturing industry, public institutions and professional chambers of the agricultural machinery sector within the scope of internship, practice and current problems monitoring and takes responsibility in different working environments. | 1 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Fundamentals of experimental design | Related subjects in proposed references. | |
| 2 | Meaning of hypothesis tests and explainin the details of variance analysis | Related subjects in proposed references. | |
| 3 | Fundamentals and principles of randomized complete plots and examples | Related subjects in proposed references. | |
| 4 | Fundamentals and principles of randomized complete plots and examples | Related subjects in proposed references. | |
| 5 | Fundamentals and principles of randomized complete blocks and examples | Related subjects in proposed references. | |
| 6 | Fundamentals and principles of randomized complete blocks and examples | Related subjects in proposed references. | |
| 7 | Fundamentals and principles of factorial experimental design and examples | Related subjects in proposed references. | |
| 8 | Mid-Term Exam | Related subjects in proposed references. | |
| 9 | Multiple reange tests and examples | Related subjects in proposed references. | |
| 10 | Multiple reange tests and examples | Related subjects in proposed references. | |
| 11 | Introduction to SPSS software | Related subjects in proposed references. | |
| 12 | Introduction to SPSS software | Related subjects in proposed references. | |
| 13 | Problem solving with data sets by using SPSS software | Related subjects in proposed references. | |
| 14 | Problem solving with data sets by using SPSS software | Related subjects in proposed references. | |
| 15 | Problem solving with data sets by using SPSS software | Related subjects in proposed references. | |
| 16 | Term Exams | Related subjects in proposed references. | |
| 17 | Term Exams | Related subjects in proposed references. |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 78 | ||
| Total Workload / 25 (h) | 3,12 | ||
| ECTS | 3 ECTS | ||