TMP471 Experimental Design and Statistical Test Methods

3 ECTS - 2-0 Duration (T+A)- 7. Semester- 2 National Credit

Information

Unit FACULTY OF AGRICULTURE
AGRICULTURE MACHINES PR.
Code TMP471
Name Experimental Design and Statistical Test Methods
Term 2017-2018 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 Üniversite Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze 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 Knows planning principles of trials in the field and workshop.
LO02 Knows planning principles of trials in the field and workshop.
LO03 Knows planning principles of trials in the field and workshop.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Recognizes the basic concepts in science, engineering, general machinery and other socio-cultural issues in agriculture and acquires up to date information.
PLO02 - Knows the use and preservation possibilities of natural and the fossil energy sources in agricultural production.
PLO03 - Knows manufacturing methods of agricultural machinery and materials are.
PLO04 - Becomes conscious of the effects of global and societal context and understands the importance of entrepreneurship and innovation of Professional solutions and applications.
PLO05 - Knows the problems of the the main applications of agricultural machines, setting and maintenance in use of the field.
PLO06 - Applies appropriate models of sustainable production for mechanization in agricultural enterprises, creates an optimal chain of mechanization and operates.
PLO07 - Knows and applies at least one of the three dimensional drawing programmes.
PLO08 - Knows and applies the laws and regulations of agricultural machinery manufacturing.
PLO09 - Identifies problems that can be solved within the scope of mechanization in plant and animal production and selects the appropriate equipment.
PLO10 - Knows national, international project resources and their admission, application and monitoring processes.
PLO11 - knows the agriculture and agricultural machinery about the national-international regulations.
PLO12 - Knows and applies the design and manufacturing the 3d solid modelling
PLO13 - Selects the appropriate materials for agricultural machines.
PLO14 - Knows and applies the methods which improves them professionally.
PLO15 - Prepares the AR_GE project and desings and manufactures it.
PLO16 - Plans and manages the creation of jobs for agricultural machines in manufacture, marketing and service network, .
PLO17 - Has sufficient background in the field of Basic Engineering and Agricultural Engineering in general and Agricultural Machinery field in particular.
PLO18 - Assists agricultural machinery firms in AR_GE and technology innovation.
PLO19 - Learns a new application-oriented software design and Agriculture.
PLO20 - Makes contacts within the scope of current issues in agriculture sector, manufacturing industry, public institutions and representatives of chambers internship and undertakes responsibilities in various working environments.


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 EXAM
17 Term Exams EXAM


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

Update Time: 19.01.2018 11:35