Information Package / Course Catalogue
| Course Code | : ME437 |
| Course Type | : Area Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : English |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 5 |
Build a shared understanding of how earthquakes, floods, landslides, wildfires, and severe storms impact people, infrastructure, and ecosystems—and what that means for engineering requirements. Translate hazard awareness into system requirements (environmental loads, reliability, maintainability) and design prototypes that can work in dust, water, heat, and shock. Use sensing, control, and data methods—including computer vision and machine learning—to detect hazards and assess damage from ground, aerial, or pole-mounted platforms. Integrate mobile robotics for inspection and light manipulation, balancing human control with autonomy for safety and reliability. Validate designs with quantitative tests (ingress protection, drop/vibration, thermal, battery runtime, model accuracy) and communicate limits and trade-offs to non-engineer stakeholders (municipal staff, first responders, community groups).
Hazard awareness & human context, Engineering requirements from hazards, Sensing & instrumentation, Embedded control & data pipelines, Computer vision and machine learning for disasters, Mobile robotics for inspection, Mechanisms & end-effectors, Testing, reliability & field ethics
| 1. | Explain how at least four hazards damage people and infrastructure and derive clear engineering requirements from those scenarios. |
| 2. | Design and assemble a sensing and control system that operates under defined water, dust, heat, and shock limits, with documented calibration and noise performance. |
| 3. | Train and deploy a compact computer-vision model on an edge device for a disaster-relevant task, reporting accuracy, false positives/negatives, and latency. |
| 4. | Integrate a mobile platform (ground, aerial, or pole-mounted) with perception and demonstrate a safe inspection or search task in a mock environment. |
| 5. | Validate the system with quantitative tests (ingress, drop/vibration, thermal, battery runtime) and compare results to the original requirements. |
| 1. | Coppola, D. P. (2023). Introduction to International Disaster Management (Elsevier). |
| 2. | Keller, E., & DeVecchio, D. (2019). Natural Hazards: Earth’s Processes as Hazards, Disasters, and Catastrophes (Pearson). |
| 3. | Corona Brezina · 2019, Engineering Solutions for Floods and Tsunamis, Rosen Publishing Group |
| Type of Assessment | Count | Percent |
|---|---|---|
| Assignment | 3 | %10 |
| Project | 1 | %20 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %50 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 1 | 3 | 56 |
| Assignment | 3 | 5 | 0 | 15 |
| Project | 1 | 10 | 0 | 10 |
| Reading | 14 | 1 | 0 | 14 |
| Midterm Examination | 1 | 9 | 1 | 10 |
| Final Examination | 1 | 18 | 2 | 20 |
| TOTAL WORKLOAD (hours) | 125 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | |
OÇ-1 | 5 | 4 | 3 | 4 | 3 | 5 | 5 | 4 | 3 | 3 | 2 | 5 |
OÇ-2 | 5 | 5 | 4 | 4 | 3 | 3 | 4 | 5 | 4 | 5 | 5 | 5 |
OÇ-3 | 4 | 5 | 3 | 4 | 3 | 5 | 5 | 5 | 4 | 5 | 4 | 4 |
OÇ-4 | 5 | 5 | 4 | 5 | 4 | 3 | 3 | 4 | 4 | 5 | 5 | 4 |
OÇ-5 | 4 | 5 | 4 | 3 | 3 | 3 | 4 | 3 | 4 | 5 | 3 | 4 |