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Program Type: 
Non Thesis
Course Code: 
Course Type: 
Course Language: 
Course Coordinator: 
Course Objectives: 

To be able to convey necessary information about collecting data with methods of agricultural, meteorological, and phenolic etc. and analyzing the data based on these methods in order to make informed decisions, To explain hot information systems can be used to increase agricultural production.

Course Content: 

Current studies and research studies using big data analysis to solve various problems in agriculture. Problems addressed, proposed solutions, tools, algorithms and data used, nature and dimensions of big data used, scale of use and overall impact. 

Teaching Methods: 
1: Lecture, 2: Question-Answer, 3: Discussion, 4: Simulation, 5: Case-study
Assessment Methods: 
A: Testing, B: Presentation, C: Homework, D: Project, E: Lab

Vertical Tabs

Course Learning Outcomes

Course Learning Outcomes Program

Learning Outcomes

Teaching Methods Assessment Methods
Can define the technologies used in data collection for agricultural production. 5,11 1,2,3 A,B,C,E
Can collect necessary data for agricultural data. 5,11 1,2,3 A,B,C,E
Can model the data collected. 5,11 1,2,3 A,B,C,E
Can make decision-supported predictions with data 5,11 1,2,3 A,B,C,E
Can use information technologies to increase agricultural production and reduce inputs 5,11 1,2,3 A,B,C,E
Can report the data obtained and the decisions based on this data 5,11 1,2,3 A,B,C,E


Course Flow

Week Topics Study Materials
1 Introduction to agricultural information systems, big data Lecture notes
2 Data collection methods (sensors, soil analysis, satelite tracking etc.) Lecture notes
3 Processing data with cloud operations and artificial intelligence algorithms Lecture notes
4 Modelling of data Lecture notes
5 Modelling of data Lecture notes
6 Data-based forecast: Drought, disease, yield etc. predictions Lecture notes
7 Data-based forecast: Drought, disease, yield etc. predictions Lecture notes
8 Midterm  
9 Reporting decision-supported forecasts and transforming data into the value chain Lecture notes
10 Case study Lecture notes
11 Case study Lecture notes
12 Case study Lecture notes
13 Case study Lecture notes
14 Student presentations Lecture notes


Recommended Sources

Lecture Notes  
Additional Resources Various Publications and Lecture Notes

Material Sharing

Documents Lecture Notes
Assignments Homework, Presentation
Exams Midterm, Final


Midterm   60
Homework   20
Presentation   20
Total   100
Final to Success   40
Semester to Success   60
Total   100



Course’s Contribution to Program

No Program Learning Outcomes Contribution
1 2 3 4 5
1 To be able to comprehend the economic problems of agriculture; collecting, analyzing, and interpreting data at micro and macro levels for economic applications; analyzing the ways of increasing production by applying the basic principles of economy in agriculture; to make the right decision for the future; to produce project-based solutions; ability to apply with contemporary techniques.          
2 To be able to monitor national and international agricultural markets, to understand the behavior of market actors; ability to predict the effects of economic and political developments on the Turkish agricultural sector and interpret and make decisions.          
3 Marketing of agricultural products by using marketing principles and methods; have the basic knowledge about market research and ability to interpret.          
4 Agricultural production tools, equipment, methods and equipment to recognize; application of plant and animal production techniques and models; Ability to use the theoretical and practical knowledge related to plant breeding, plant breeding, seed production, genetics, physiology, ecology, biotechnology, plant gene resources, organic agriculture and meadow-pasture management in the field of field crops.        


5 To develop and deepen their knowledge in the field of information systems at the level of expertise; interpreting and integrating the information acquired in information systems with the information coming from related disciplines; ability to develop new approaches to complex problems in applications in information systems.         X
6 Ability to possess wide and deep knowledge in the field of Agricultural Trade and Management including the most recent advances; ability to possess advanced level of required skill, techniques and methods to conduct research by using and evaluating up-to-date information; ability to model, design and develop solutions, a system, a process or a product under realistic constraints by generating innovative and original ideas.          
7 Ability to perceive, design and apply an original research process (analytical, modeling or experimental) independently: ability to solve complex problems and critically evaluate the ideas and developments in the field of specialization. Ability to transfer advancements in scientific, technical and cultural developments to the society with the ethical responsibility and scientific objectivity.          
8 Ability to communicate effectively in oral and written English; the ability to write and understand effective reports, to make effective presentations, to give and receive clear and understandable instructions.         X
9 Ability to work effectively in disciplinary and multidisciplinary teams; self-study skills.       X  
10 To act in accordance with ethical principles, professional and ethical responsibility awareness; the ability to inform the society on issues related to biodiversity, natural resources, air, water, soil pollution, recycling, environmental sensitivity, environmental protection.          
11 Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself.     X    


Etkinlik SAYISI Süresi
İş Yükü
Ders Süresi (Sınav haftası dahildir: 14x toplam ders saati) 14 3 42
Sınavlara Çalışma Süresi 1 25 25
Ara Sınav 1 2 2
Sınıf dışı makale okuma ve ödevler 14 10 140
Sunum ve sunuma hazırlık 1 25 25
Final 1 3 3
Toplam İş Yükü     237
Toplam İş Yükü / 25 (s)     9,5
Dersin AKTS Kredisi     10