Information Package / Course Catalogue
Artificial Intelligence and Robotic Applications
Course Code: AST221
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: Students are required, as part of the course "İMEU201 – Workplace Vocational Training" (30 ECTS) offered in the fourth semester, to undertake and successfully complete workplace vocational training for a minimum of 70 working days at enterprises designated in accordance with the provisions of the Aydın Adnan Menderes University Directive on Workplace Vocational Training.
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 3
Objectives of the Course

The aim of this course is to provide basic information about remote sensing and robotic systems, active and passive systems, satellite, aircraft, drone systems and their features, robot types - fixed and mobile, power sources and sensors of robots, agricultural robot sensors and plant detection and mapping studies.

Course Content

Information is provided on the definition and history of Remote Sensing, Remote Sensing techniques and basic principles, types of remote sensing according to the energy used, Robotic systems and components, Areas of Use and advantages of Robotic Systems, Structure and general features of robot programming and languages, Robot types - fixed and mobile, power sources and sensors of robots, plant detection and mapping studies with agricultural robot sensors, Phenotyping of plants with computer algorithms and sensor cameras.

Name of Lecturer(s)
Learning Outcomes
1.Knows Remote Sensing systems
2.Knows the structure and general features of robot programming and languages
3.Robot types – fixed and mobile, know the power sources of robots
4.Robot types – fixed and mobile, know the sensors of robots
5.Knows plant detection and mapping studies with agricultural robot sensors
Recommended or Required Reading
1.Lecturer notes
Weekly Detailed Course Contents
Week 1 - Theoretical
Definition and history of Remote Sensing and robotic systems, Remote Sensing techniques and basic principles, types of remote sensing according to the energy used.
Week 2 - Theoretical
Satellites
Week 3 - Theoretical
Airplanes, drones, passive sensors
Week 4 - Theoretical
Active sensors, electromagnetic spectrum
Week 5 - Theoretical
Interpolation and Qgis introduction
Week 6 - Theoretical
Georeferencing and Shapefile creation
Week 7 - Theoretical
Satellite image processing, image cropping and atmospheric correction
Week 8 - Theoretical
Training data generation, classification, and accuracy analysis
Week 9 - Theoretical
Robotic systems and components, Areas of Use and Advantages of Robotic Systems
Week 10 - Theoretical
Structure and general features of robot programming and languages
Week 11 - Theoretical
Structure and general features of robot programming and languages
Week 12 - Theoretical
Robot types – fixed and mobile, robot power sources and sensors
Week 13 - Theoretical
Phenotyping of plants with computer algorithms and sensor cameras, plant detection and mapping studies with agricultural robot sensors
Week 14 - Theoretical
Phenotyping of plants with computer algorithms and sensor cameras, plant detection and mapping studies with agricultural robot sensors
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%10
Quiz1%10
Midterm Examination1%20
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140342
Assignment1404
Quiz1516
Midterm Examination110111
Final Examination111112
TOTAL WORKLOAD (hours)75
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
OÇ-1
4
2
5
1
OÇ-2
4
5
1
OÇ-3
4
5
2
OÇ-4
4
5
2
OÇ-5
4
2
5
1
Adnan Menderes University - Information Package / Course Catalogue
2026