ZTP362 Computer Aided Agricultural Statistics Analysis 2

3 ECTS - 3-0 Duration (T+A)- 6. Semester- 3 National Credit

Information

Code ZTP362
Name Computer Aided Agricultural Statistics Analysis 2
Term 2024-2025 Academic Year
Semester 6. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÖKHAN TAMER KAYAALP
Course Instructor
1 2
Prof. Dr. GÖKHAN TAMER KAYAALP (A Group) (Ins. in Charge)


Course Goal / Objective

It is aimed to make the planning of Agricultural Research and Experiments, making statistical analysis and interpretation.

Course Content

This course includes the planning, construction and interpretation of statistical analyzes using SPSS package program.

Course Precondition

None

Resources

Kayaalp,G.T. and Keser, N. 2010. Experimantal Designs Ç.Ü. Agriculture Faculty A-88 Adana

Notes

Bek, Y. and Efe, E. 1987. Experimantal Designs. Ç.Ü. Agriculture Faculty Adana


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learn the planning of Agricultural Experiments and Statistical Analysis Methods.
LO02 They learn statistical analysis and interpretation of data obtained from agricultural experiment.
LO03 Learn SPSS statistical package program
LO04 Students learn the similarities and differences between the experiments.
LO05 The student learns to set up experiments in health sciences, science and social sciences.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Has information on basic characteristics (anatomic, morphologic,physiological and biological) of farm animals 5
PLO02 Bilgi - Kuramsal, Olgusal Has information on planning animal housing for environmental aspects and animal species, about forage production and storage for environmental conditions and different species, making plans about animal breeding 5
PLO03 Bilgi - Kuramsal, Olgusal Has genetic and statistical information which can be the basis of animal improvement .Has adequate knowledge of industrial animal farming 5
PLO04 Bilgi - Kuramsal, Olgusal Has information on alternative production systems
PLO05 Bilgi - Kuramsal, Olgusal To get technical knowledge in his/her field
PLO06 Bilgi - Kuramsal, Olgusal Knows the techniques in Animal Breeding and applies. Has information about small cattle raising and poultry farming and nutrition and applies.Transfers genetic and statistical information that can be the basis of animal breeding to animal production
PLO07 Bilgi - Kuramsal, Olgusal Finds the reasons of the technical and economical problems that can adversely affect the quality and capacity levels desired in Animal Science and develops solutions
PLO08 Bilgi - Kuramsal, Olgusal Obtains information in the field of Animal Science, researches, evaluates, records,consults,plans projects and applies
PLO09 Bilgi - Kuramsal, Olgusal Uses IT to get new information in animal production
PLO10 Bilgi - Kuramsal, Olgusal Transfers knowledge to people who work in the field at various levels, has communication skills,has the self -confidence in providing information and following technical developments
PLO11 Bilgi - Kuramsal, Olgusal He is aware of the impacts of animal science and agricultural engineering applications on health, environment and safety in the comprehensive and social dimensions and the problems of the times that are reflected in the field of engineering.


Week Plan

Week Topic Preparation Methods
1 Introduction of SPSS package program and data entry Practical study on SPSS package program in source book and computer Öğretim Yöntemleri:
Anlatım
2 Variance Homogeneity Tests Practical study on SPSS package program in source book and computer Öğretim Yöntemleri:
Anlatım
3 One Way Analysis of Variance Practical study on SPSS package program in source book and computer Öğretim Yöntemleri:
Anlatım
4 Post-Hoc Tests Practical study on SPSS package program in source book and computer Öğretim Yöntemleri:
Anlatım
5 transformations Practical study on SPSS package program in source book and computer Öğretim Yöntemleri:
Anlatım
6 Random BlocksTrial Plan Practical study on SPSS package program in source book and computer Öğretim Yöntemleri:
Anlatım
7 Repeated Blocks of Experimental Design Practical study on SPSS package program in source book and computer Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Practical study on SPSS package program in source book and computer Ölçme Yöntemleri:
Yazılı Sınav
9 midterm Practical study on SPSS package program in source book and computer Ölçme Yöntemleri:
Yazılı Sınav
10 Two-Factor Nested Classified Experimental Design Practical study on SPSS package program in source book and computer Öğretim Yöntemleri:
Anlatım
11 Three-Factor Nested Classified Experimental l Design Practical study on SPSS package program in source book and computer Öğretim Yöntemleri:
Anlatım
12 Factorial Experimantal Design ( 2x2) Practical study on SPSS package program in source book and computer Öğretim Yöntemleri:
Anlatım
13 Factorial Test Plan Arranged at Random Blocks Practical study on SPSS package program in source book and computer Öğretim Yöntemleri:
Anlatım
14 A Split Plot Experimental Design Practical study on SPSS package program in source book and computer Öğretim Yöntemleri:
Anlatım
15 General Evaluation Practical study on SPSS package program in source book and computer Öğretim Yöntemleri:
Anlatım
16 Term Exams Practical study on SPSS package program in source book and computer Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Practical study on SPSS package program in source book and computer Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
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 10 10
Total Workload (Hour) 86
Total Workload / 25 (h) 3,44
ECTS 3 ECTS

Update Time: 10.05.2024 11:40