A 4.2: Learning Methodology
The Learning Methodology developed in Work Package 4 establishes a competency-based framework for the Applied Artificial Intelligence (AAI) course, emphasizing practical applications in real-world scenarios. Covering essential AI topics such as data management, machine learning, ethical considerations, and applications in healthcare, smart cities, and robotics, the methodology aims to develop both technical and adaptive skills. Each module combines lectures, hands-on tasks, case-based studies, and discussions, aligning with required competencies like data handling, machine learning implementation, and critical thinking. Soft skills in collaboration and communication are also integrated. This active learning approach, with continuous assessment and feedback, prepares students to be adaptable AI practitioners equipped to solve industry-specific challenges.
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