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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS CME 4463 DRONE TECHNOLOGY ELECTIVE 3 0 0 6

Offered By

Computer Engineering (English)

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR DERYA BIRANT

Offered to

Computer Engineering (English)

Course Objective

The goal of this course is to understand the fundamentals of drone technology. The physical fundamentals of the flight principles of drones, their hardware, as well as their programming and connection details. The student will be able to adapt and incorporate drone technology to any task he/she may have at hand.

Learning Outcomes of the Course Unit

1   Learn basics of drone technology. 2   Learn the Fundamentals of drone flight. 3   Learn drone hardware. 4   Learn drone programming for custom tasks. 5   Understand and apply drone Technologies for real-life problems.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to Drone Technology 2 Drone Applications 3 Fundamentals of Drone Flight 4 Flight Stabilization 5 Drone Cameras 6 Drone Communications 7 Drone Sensors 8 Navigation 9 Types of Drone Software 10 Drone Programming 11 Drone Safety 12 Anti-drone Defenses 13 Geofencing 14 Drone Law

Recomended or Required Reading

Introduction To Multicopter Design, Quan, Q. Springer Nature Singapore, 2017.

Planned Learning Activities and Teaching Methods

Presentation, Problem Solving, Quiz.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 QUZ QUIZ 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + QUZ * 0.20 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + QUZ * 0.20 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

Midterm exam is 30 %, quiz is 20% and final exam is 50% of the course grade.

Language of Instruction

English

Course Policies and Rules

Participation is mandatory.

Contact Details for the Lecturer(s)

Prof.Dr. Derya BIRANT derya@cs.deu.edu.tr

Office Hours

TBA

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 2 28 Preparation for midterm exam 1 20 20 Preparation for final exam 1 28 28 Preparation for quiz etc. 2 12 24 Midterm 1 2 2 Final 1 2 2 TOTAL WORKLOAD (hours) 146

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 5 3 LO.2 5 4 3 LO.3 5 3 5 3 LO.4 4 5 5 5 4 LO.5 4 3 3 3 4 3 3 3