Information Package / Course Catalogue
Irrigation Management Information Systems
Course Code: ZTY549
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

To introduce data-driven management approaches and information infrastructures in smart agriculture and precision irrigation systems

Course Content

IoT-based irrigation automation, sensor network management, irrigation database design (SQL), and enterprise information systems in water resource planning

Name of Lecturer(s)
Learning Outcomes
1.Recognize the core components of smart irrigation systems
2.Apply database and network management principles for precision agriculture
3.Conduct strategic IT planning for water conservation
4.Manages the real-time processing and system integration processes of data from IoT and sensor networks in precision irrigation systems
5.Applies project management methodologies (Agile, etc.) in the planning, design, and implementation phases of smart irrigation projects
Recommended or Required Reading
1.Laudon, K.C. and Laudon, J.P. (2016): Management Information Systems: Managing The Digital Firm, 14th Ed. Upper Saddle River, N.J. Pearson/Prentice Hall.
2.Motiwalla, L.F. and Thompson, J. (2012). Enterprise Systems for Management, 2nd Ed. USA, Pearson. ISBN-10: 0132145766, ISBN-13: 978-0132145763.
3.Middleton, Michael (2002). Information Management, A consolidation of operations analysis and strategy. Center for Information Studies, Charles Sturt University, NSW, Australia, ISBN 1-876938-36-6.
4.Maeder, M., Hädrich, T. and Peinl, R. (2009): Enterprise Knowledge Infrastructures, 2nd Ed., Springer. eBook ISBN: 978- 3-540-89768-2. Softcover ISBN: 978-3-540-89767-5.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction
Week 2 - Theoretical
Hardware Foundations in Irrigation Systems
Week 3 - Theoretical
Introduction to Information Systems.
Week 4 - Theoretical
Hardware Elements I
Week 5 - Theoretical
Hardware Elements II
Week 6 - Theoretical
Software Elements I
Week 7 - Theoretical
Software Elements II
Week 8 - Theoretical
Database Management and Irrigation Data Models
Week 9 - Theoretical
Data Models, Relational Models, Relationship Types
Week 10 - Theoretical
IoT and Wireless Sensor Networks
Week 11 - Theoretical
Operating Systems
Week 12 - Theoretical
Decision Support Systems
Week 13 - Theoretical
Smart Irrigation Project Design I
Week 14 - Theoretical
Smart Irrigation Project Design II
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Assignment1%5
Midterm Examination1%20
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Lecture - Practice141242
Assignment117017
Midterm Examination120222
Final Examination125227
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
OÇ-1
3
4
5
5
4
4
3
5
OÇ-2
5
5
4
4
3
5
5
4
OÇ-3
4
4
3
5
5
5
4
5
OÇ-4
5
5
5
3
4
3
5
4
OÇ-5
4
4
4
5
5
4
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026