Introduction to AI-Enabled Wearable Technologies Summer School
Entry requirements
- Participants are encouraged to have an interest in programming, preferably in Python and C, but no prior coding experience is required.
- A basic understanding of statistics and mathematics will be helpful, but is not essential. A willingness to learn and engage in hands-on activities, along with a curiosity about AI and wearable technologies, are the most essential prerequisites for this summer course.
- The course is designed to be accessible to beginners, providing a supportive environment for all participants to explore the exciting applications of AI/ML in real-world scenarios of wearable technologies.
- Participants must have completed a high school or vocational degree or equivalent by the time the course starts. However, they do not have to be a degree student at a university to participate in our courses.
- Additionally, all summer school course students must be 18 years or older, as it is the legal age in Finland.
Months of entry
August
Course content
This two-week summer school provides a comprehensive, hands-on introduction to wearable systems, from hardware and sensing fundamentals to data processing and basic artificial intelligence methods. You will be guided through the core building blocks of modern wearables, including physiological and motion sensors, embedded programming, and low-power wireless communication. Using an open-source wearable platform, the course emphasises practical understanding by allowing students to directly interact with raw sensor data and observe how signals are captured, transmitted, and logged in realistic scenarios.
You will learn essential signal processing techniques and gradually move toward simple machine learning and deep learning concepts commonly used in wearable applications such as activity recognition, health monitoring, and personalisation.
By understanding the technologies behind activity tracking, health monitoring, and adaptive user experiences, you will gain skills that are highly relevant to modern industry, research, and the future of digital health and smart devices.
This course is ideal for individuals from diverse backgrounds, including students, professionals, and enthusiasts looking to enhance their understanding of artificial intelligence and machine learning, particularly in the context of wearable technology.
Information for international students
Fees and funding
Qualification, course duration and attendance options
- High School or vocational degree completed.
- part time2 weeks months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Aalto University Summer School
- summer@aalto.fi