Learning outcomes:
The learning objectives aim for students to acquire solid knowledge of biosensors, including their architecture, molecular recognition components, transducers, and analytical validation, as well as to understand their practical applications. The skills developed include critical analysis of measurement systems, selection of immobilization methods, interpretation of performance parameters, and evaluation of innovative solutions. Competencies encompass teamwork, scientific communication, and autonomy in problem-solving. The teaching method, combining theoretical lectures, case discussions, study of recent applications, and development of mini-projects, ensures alignment with these objectives, enabling students to integrate theory and practice, develop experimental and analytical skills, and apply knowledge to real and innovative contexts.