Introductory Course in Machine Learning, Sensors and Systems, 3 credits

The aim of this course is to introduce the programme, including the scope, goals, educational platforms, and tools to the students. They also will be introduced to research projects and capabilities at the university. In addition, the course provides fundamental knowledge and practical skills in sensor systems, signal processing, machine learning, and computational problem-solving using modern tools like MATLAB, Python and related libraries. The students will also have the opportunity to practice core concepts in signal processing, machine learning, and data analysis through a real-world application. Furthermore, the course emphasizes communication skills and scientific writing in order to convey technical concepts clearly and concisely in written reports.