Smart Health Hackathon (3 ECTS)
Code: TX00GE85-3001
General information
- Enrollment
- 28.12.2024 - 01.01.2025
- Registration for the implementation has ended.
- Timing
- 27.01.2025 - 28.02.2025
- Implementation has ended.
- Number of ECTS credits allocated
- 3 ECTS
- Teaching languages
- Finnish
- Teachers
- Tuan Nguyen
- Anssi Ikonen
- Course
- TX00GE85
Implementation has 4 reservations. Total duration of reservations is 12 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Wed 29.01.2025 time 16:00 - 19:00 (3 h 0 min) |
Smart Health Hackathon TX00GE85-3001 |
MMC312
Oppimistila
|
|
Thu 30.01.2025 time 16:00 - 19:00 (3 h 0 min) |
Smart Health Hackathon TX00GE85-3001 |
MMC312
Oppimistila
|
|
Wed 05.02.2025 time 16:00 - 19:00 (3 h 0 min) |
Smart Health Hackathon TX00GE85-3001 |
MMC312
Oppimistila
|
|
Thu 06.02.2025 time 16:00 - 19:00 (3 h 0 min) |
Smart Health Hackathon TX00GE85-3001 |
MMC312
Oppimistila
|
Learning outcomes
After the hackathon, the student understands the key components of e-health systems, including data acquisition, monitoring, analysis, and disease prediction. The student is familiar with innovative approaches utilizing large language models (LLM), machine learning (ML), wireless communications (BLE), smart sensors, and wearable technologies.
The student is capable of designing, implementing, and presenting solutions for real-world e-health challenges. The student also masters the basics of IoT and embedded AI system development for e-health purposes and is able to apply teamwork and problem-solving skills in a competitive and collaborative environment.
Content
• Bio-signals and bio-sensors for smart health
• Remote monitoring systems: architecture, wireless communication protocols
• Embedded AI and LLM
• Project management and prototype development
Evaluation scale
0-5