AI in Microcontroller Education

Title AI in Microcontroller Education
Brief description The aim of the project is to investigate how artificial intelligence–based methods can be integrated into microcontroller-based education in order to enhance algorithmic thinking, embedded system design skills, and real-time data processing capabilities.

During the research, edge AI–based example projects (e.g., sensor data–driven classification and anomaly detection) implemented on typical educational platforms (such as Arduino and STM32) will be developed, and their impact on students’ learning outcomes and problem-solving abilities will be evaluated.

Based on the results, a set of methodological recommendations will be formulated for the structured integration of AI-supported microcontroller education into computer engineering and technical training programs.
Supervisor Borsos Döníz
Estimated time required 2 semesters
Number of students expected 3, The instructor continuously welcomes new students to join
Required prior knowledge English language
Recommended prior knowledge Basic knowledge of programming, familiarity with STM32 MCU platforms, foundational research skills, and an understanding of artificial intelligence concepts.
Recommended level of study at which the student may join BSc;MSc;
Location requirement; the work must be carried out here either partially or entirely Mostly can be carried out anywhere