ME413 Unmanned Aerial Vehicles
ME413 Unmanned Aerial Vehicles
Syllabus | International University of Sarajevo - Last Update on Feb 02, 2026
Syllabus Quick Jump
Search and navigate to any syllabus instantly
Mechanical Engineering
Adnan Mašić
Course Lecturer
Course Objectives
The main objective of the course is to introduce students to principles of operation of unmanned aerial vehicles. The course will enable students to understand physics of unmanned aerial vehicles and auxiliary subsystems. Safety, ethical and environmental issues are analyzed as well.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
K.P. Valavanis, Handbook of Unmanned Aerial Vehicles, Springer, 2015
Additional Literature
P.K. Garg, Unmanned Aerial Vehicles (an introduction), Mercury Learning and Information, 2021Teaching Methods
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | INTRODUCTION | |
| 2 | COORDINATE SYSTEMS | |
| 3 | PHYSICS OF UNMANNED AERIAL VEHICLES | |
| 4 | DYNAMICS OF MULTIROTORS | |
| 5 | VIBRATIONS | |
| 6 | ELECTROMAGNETIC RADIATION OF UAV | |
| 7 | SENSORS | |
| 8 | Midterm exam | |
| 9 | FLIGHT CONTROLLERS AND ALGORITHMS | |
| 10 | RADIO CONTROL | |
| 11 | VIDEO TRANSMISSION | |
| 12 | Artificial inteligence and UAVs | |
| 13 | Aerodynamics of UAVs | |
| 14 | SAFETY, ETHICAL AND ENVIRONMENTAL ISSUES | |
| 15 | CONCLUSIONS |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| ME413.1 | Course | Thursday 09:00 - 11:50 | A F2.8 - Classroom | - | - |
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1
Midterm Exam
AI: Not AllowedAlignment with Learning Outcomes : 1
Practical work
AI: Not AllowedAlignment with Learning Outcomes : 1
IUS Grading System
| Grading Scale | IUS Grading System | IUS Coeff. | Letter (B&H) | Numerical (B&H) |
|---|---|---|---|---|
| 0 - 44 | F | 0 | F | 5 |
| 45 - 54 | E | 1 | ||
| 55 - 64 | C | 2 | E | 6 |
| 65 - 69 | C+ | 2.3 | D | 7 |
| 70 -74 | B- | 2.7 | ||
| 75 - 79 | B | 3 | C | 8 |
| 80 - 84 | B+ | 3.3 | ||
| 85 - 94 | A- | 3.7 | B | 9 |
| 95 - 100 | A | 4 | A | 10 |
Late Work Policy
Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.
ECTS Credit Calculation
📚 Student Workload
This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:
Lecture Hours
28 hours ⏳ (14 week × 2 h)
Assignments
42 hours ⏳ (14 week × 3 h)
LAB work
18 hours ⏳ (2 week × 9 h)
Home Study
42 hours ⏳ (14 week × 3 h)
In-term Exam Study
10 hours ⏳ (1 week × 10 h)
Final Exam Study
10 hours ⏳ (1 week × 10 h)
150 Total Workload Hours
6 ECTS Credits
Course Policies
Academic Integrity
All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.
Attendance Policy
Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.
Technology & AI Policy
Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.
Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.
Communication Policy
All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [ME413] in the subject line.
Academic Quality Assurance Policy
Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.
Learning Tips
Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.
Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.
Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.
Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.
Syllabus Last Updated on Feb 02, 2026 | International University of Sarajevo
Print Syllabus
Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| ME413 | Unmanned Aerial Vehicles | 3 | 0 | 6 | ||||||
| Prerequisite | Junior Standing | It is a prerequisite to | - | |||||||
| Lecturer | Adnan Mašić | Office Hours / Room / Phone | ||||||||
| amasic@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | The main objective of the course is to introduce students to principles of operation of unmanned aerial vehicles. The course will enable students to understand physics of unmanned aerial vehicles and auxiliary subsystems. Safety, ethical and environmental issues are analyzed as well. | |||||||||
| Textbook | K.P. Valavanis, Handbook of Unmanned Aerial Vehicles, Springer, 2015 | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
| Teaching Methods | ||||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | INTRODUCTION | |||||||||
| Week 2 | COORDINATE SYSTEMS | |||||||||
| Week 3 | PHYSICS OF UNMANNED AERIAL VEHICLES | |||||||||
| Week 4 | DYNAMICS OF MULTIROTORS | |||||||||
| Week 5 | VIBRATIONS | |||||||||
| Week 6 | ELECTROMAGNETIC RADIATION OF UAV | |||||||||
| Week 7 | SENSORS | |||||||||
| Week 8 | Midterm exam | |||||||||
| Week 9 | FLIGHT CONTROLLERS AND ALGORITHMS | |||||||||
| Week 10 | RADIO CONTROL | |||||||||
| Week 11 | VIDEO TRANSMISSION | |||||||||
| Week 12 | Artificial inteligence and UAVs | |||||||||
| Week 13 | Aerodynamics of UAVs | |||||||||
| Week 14 | SAFETY, ETHICAL AND ENVIRONMENTAL ISSUES | |||||||||
| Week 15 | CONCLUSIONS | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 40 | 1 | Not Allowed | |
| Semester Evaluation Components | |||||
| Midterm Exam | 1 | 40 | 1 | Not Allowed | |
| Practical work | 1 | 20 | 1 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 2 | 14 | 28 | Assignments | 3 | 14 | 42 | |||
| LAB work | 9 | 2 | 18 | Home Study | 3 | 14 | 42 | |||
| In-term Exam Study | 10 | 1 | 10 | Final Exam Study | 10 | 1 | 10 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 24/02/2026 | |||||||||