Métodos de Ensino e Avaliações

Teaching Methodologies • Theoretical Lectures and Practical Labs: Engaging presentations complemented by visual resources and real-world examples to clarify complex topics. Students work on programming exercises using Python, focusing on real-world data analysis problems. • Group Projects: Students collaborate in teams to develop a software solution or analysis project, fostering peer learning and teamwork. • Case Studies: Analysis of real-world case studies showcasing successful applications of programming in data analysis, discussing challenges and solutions • Peer Review and Presentations: Students present their group projects, receiving feedback from peers and instructors, promoting a constructive learning environment. The assessment for Data Science and AI or Sustainability consists of: • Regular period: Group Project (60%) and Final Exam (40%). • Repeated period: Appeal Exam (100%). The Final and Appeal Exams are two-hour written exams. The Group Project (4-6 people) must be emailed to the instructors and discussion group, with a printed copy submitted before or during the presentation. The report (in PPT format) should have 1!r-15 slides, including cover, tables, figures, and table of contents. Presentations are 20 minutes, followed by a 10-minute discussion. Grades are based on the written report, oral presentation, and discussion. Students must justify their methods and model choices. Uneven contributions may result in different group member grades. Questions and discussion quality also influence the group grade. 8. Demonstra~ao da coerencia das metodologias de ensino com os objetlvos de aprendizagem da unidade curricular. Demonstration of the coherence between the teaching methodologies and the learning outcomes. Campo alfanumerico {3.000 carateres). Esta Unidade Curricular esta organizada de forma a potenciar o envolvimento ativo dos alunos no processo de aprendizagem. Neste sentido, sera solicitado os alunos a realiza~ao de um trabalho de grupo no qual deverao demonstrar que adquiriram algumas das competencias que supostamente adquiriram ao Iongo do semestre. 0 modelo de avalia~ao foi desenhado para apoiar este modelo de aprendizagem. This Course Unit is organized in order to enhance the active involvement of students in the learning process. In this sense, the students will be required to complete a group project assignments where they are expected to demonstrate they have acquired the skills they are supposed to have acquired during the semester. The assessment model was designed to support this learning model.