DM500: Study Introduction for Artificial Intelligence and Computer Science

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• Applies study and learning strategies to organize hers/his own learning in relation to the intended learning outcomes, learning activities and assessment tasks.
• Establishes working relationships to his fellow students and describes his role as an active participant in the study program’s social and academic learning activities
• Specifies and analyzes a problem in pre-formulated form and communicates the solving process and the result of the process.
• Identifies different science representations (textual, auditory, visual, symbolic, iconic, graphical, tabular, static or dynamic) and applies them in problem solving.
• Understand the SDGs and their relationship with academic studies
• Understand issues and dilemmas related to achieving the SDGs
• Work academically, critically reflected, and interdisciplinary with the SDGs
• Reflect on the relevance of the SDGs to artificial intelligence and computer science as well as in relation to other disciplines.

• Study group: Work in collaborative groups, communication, planning, conflict management, group forming and constitution and study group contract
• The student’s learning: Introduction to itslearning, study and learning strategies, harmonization of expectations, ethical standards in academia and the student’s personal learning plan.
• Problem solving anchored in topics from the student’s introductory courses.
• A research-based introduction to the Sustainable Development Goals and their relevance to academic studies
• Introduction to the SDGs and their historical and political context
• Specific issues related to the SDGs
• Dilemmas raised by the work to achieve the SDGs
• Multidisciplinary platform to work with the SDGs
• Experience working critically and reflected with the SDGs.

• Intro phase: 3 hours
• Skills training phase: 36 hours, hereof: Tutorials: 36 hours.