Information Package
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Robotics and Artificial Intelligence

KYZ107

INTRODUCTION TO AUTONOMOUS SYSTEMS

Course Code
KYZ107
Semester
First Term (Fall)
Theory+Practice
2 + 1
ECTS
5
Course TypeCompulsory Course
Course LevelAssociate Degree
Year of Study1
SemesterFirst Term (Fall)
ECTS5
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Recognizes autonomous systems.
  2. Knows the basic components of autonomous systems.
  3. Recognizes autonomous system applications and has preliminary information about advanced applications.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionTo teach the basic components of autonomous systems, modeling methods, driving techniques and sensor technologies, path planning, localization, mapping and autonomous navigation simulations. It covers general information about autonomous systems and their basic components, modeling, driving techniques, sensor technologies, path planning, localization, mapping, autonomous navigation, autonomous system modeling and simulation applications.
Course Contents
WEEK TOPICS
1st Week Basic electrical and electronics
2nd Week Basic electrical and electronics
3rd Week Basic electrical and electronics
4th Week Introduction to embedded systems
5th Week Basic concepts of autonomous systems and system architectures
6th Week Autonomous vehicles and driving techniques
7th Week Sensor and actuator technologies in autonomous systems
8th Week Midterm exam
9th Week Robot Systems and Modeling
10th Week Navigation Methods
11th Week Mapping Systems and Methods
12th Week Path Planning Algorithms
13th Week Positioning and Localization
14th Week Current Autonomous System Applications
Recommended or Required Reading***If you feel the need for academic accommodations due to your disability, please contact the instructor of the course.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Problem Solving
  • Practice
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Total(%) 40
Contribution of In-term Studies to Overall Grade(%) 40
Contribution of Final Examination to Overall Grade(%) 60
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1 1
Preparation for Quiz
Individual or group work 14 5 70
Preparation for Final exam 1 14 14
Course hours 14 3 42
Preparation for Midterm exam 1 7 7
Laboratory (including preparation)
Final exam 1 1 1
Homework
Total Work Load135
Total Work Load / 30 (h)4.5
ECTS Credit of the Course5
Language of InstructionTurkish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2 LO3
K1 X X X
K2
K3 X X X
K4 X X X
K5 X X X
K6
K7
K8 X X X
K9
K10
K11 X X X
K12 X X X
K13 X X X