Information
Code | SAFS0012 |
Name | Applied Quantitative Methods for Sustainable Agriculture |
Term | 2023-2024 Academic Year |
Semester | . Semester |
Duration (T+A) | 2-0 (T-A) (17 Week) |
ECTS | 6 ECTS |
National Credit | 2 National Credit |
Teaching Language | Türkçe |
Level | Doktora Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator |
Course Goal / Objective
Learns multivariate statistical methods and simulation analysis are mainly covered with the data analysis approach.
Course Content
Quantitative methods used in sustainable agriculture: univariate and multivariate statistical methods, mathematical programming models used for food policy analysis; food security concepts and measurement; determinants of food security; developing indices to measure the level of sustainability and food security; goal programming
Course Precondition
none
Resources
R.A., D.W.Wicherin, 1992. Applied Multivariate Statistical Analysis, 3.rd, Prentice Hall Inc. Englewood Cliffs.N.J. 07632, Londra.
Notes
1-) Hillier F. S., Lieberman G. J. (2001), Introduction to Operations Research, McGraw-Hill 2-) Bryan F. J. Manly. Statistics for Environmental Science and Management 3-) Bryan Manly, Multivariate Statistical Methods: A Primer 4-) Babu, Suresh C., Prabuddha Sanyal (2009), Food Security, Poverty and Nutrition Policy Analysis, Statistical Methods and Applications, Academic Press. 5-) Kaiser H.M. and Messer K.D. (2012), Mathematical Programming for Agricultural, Environmental and Resource Economics, John Wiley & Sons.
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Explains the quantitative methods used in sustainable agriculture |
LO02 | Explains univariate and multivariate statistical methods |
LO03 | Uses mathematical programming models used for food policy analysis |
LO04 | Explains food safety concepts and measurement |
LO05 | Develops indexes to measure the level of determinants of food security, sustainability and food security |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Have theoretical and applied knowledge about the basic principles of Sustainable Agricultural Science (Agroecology) and Food Security. | 3 |
PLO02 | Yetkinlikler - Öğrenme Yetkinliği | Learns national and international certificated agricultural systems and chemical residue-free production. | |
PLO03 | Bilgi - Kuramsal, Olgusal | Gains knowledge of laws and regulations on sustainable agriculture and food security and improve new approaches. | |
PLO04 | Beceriler - Bilişsel, Uygulamalı | Plans and apply the appropriate crop rotation systems for water and mineral cycle within the ecosystem dynamics. | |
PLO05 | Beceriler - Bilişsel, Uygulamalı | It develops healthy plant production materials (seeds, seedlings) and animal products beneficial for human nutrition. | |
PLO06 | Bilgi - Kuramsal, Olgusal | Gain knowledge on environmentally friendly strategies for the protection, development and sustainable use of soil and water resources. | |
PLO07 | Beceriler - Bilişsel, Uygulamalı | It develops fertilization programs which ecologically oriented soil and healthy nutrition of the crop for sustainable soil management. | |
PLO08 | Beceriler - Bilişsel, Uygulamalı | Gains knowledge about the disease factors, harmful weeds, insects, nematodes and mites that cause yield loss in culture plant cultivation. | |
PLO09 | Yetkinlikler - Alana Özgü Yetkinlik | It ensures that plant and animal production is carried out with a holistic approach in sustainable agricultural systems. | 3 |
PLO10 | Beceriler - Bilişsel, Uygulamalı | Learn to create timely and correct mechanization programs. | |
PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | On the basis of economic sustainability in agricultural production, it develops approaches that will ensure product acquisition and safe transportation to the consumer. | 3 |
PLO12 | Beceriler - Bilişsel, Uygulamalı | It can develop systems that will ensure food safety and food security. | 2 |
PLO13 | Yetkinlikler - Alana Özgü Yetkinlik | Knows the agricultural processes and economic analyzes of the produced yields to provide maximum benefit to the producer. | 4 |
PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Develop and perform independent or team research and development projects on sustainable agriculture and food safety. |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Introduction to basic statistical methods | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
2 | Introduction to basic statistical methods 2 | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
3 | Statistical tests | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
4 | Statistical tests 2 | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
5 | Hypothesis check in statistics | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
6 | Types of economy models and model creation | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
7 | Types of economy models and model creation 2 | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
8 | Mid-Term Exam | Lecture notes and recommended resources relevant sections | Ölçme Yöntemleri: Yazılı Sınav |
9 | Long-term trends and forecasting methods | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
10 | Factor analysis method | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
11 | Discriminant analysis method | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
12 | Cluster analysis method | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
13 | Interset correlation analysis method | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
14 | Interset correlation analysis method 2 | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
15 | statistical process and control applications | Lecture notes and recommended resources relevant sections | Öğretim Yöntemleri: Anlatım, Tartışma |
16 | Term Exams | Lecture notes and recommended resources relevant sections | Ölçme Yöntemleri: Yazılı Sınav |
17 | Term Exams | Lecture notes and recommended resources relevant sections | Ölçme Yöntemleri: Yazılı Sınav |
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 | 6 | 84 |
Assesment Related Works | |||
Homeworks, Projects, Others | 2 | 6 | 12 |
Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
Final Exam | 1 | 12 | 12 |
Total Workload (Hour) | 142 | ||
Total Workload / 25 (h) | 5,68 | ||
ECTS | 6 ECTS |