SAFS0012 Applied Quantitative Methods for Sustainable Agriculture

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

Information

Code SAFS0012
Name Applied Quantitative Methods for Sustainable Agriculture
Term 2023-2024 Academic Year
Term Spring
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 Instructor
1


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

Update Time: 09.05.2023 08:53