Teaching GuideTerm
Faculty of Computer Science
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Máster Universitario en Intelixencia Artificial
 Subjects
  Multiagent Systems
   Methodologies
Methodologies Description
Laboratory practice The practical classes will consist of developing a basic multiagent system (MAS) or some specific parts of it. The delivery may have different deadlines to encourage continuous work. The practical instructions will be provided in advance for students to read in detail, and they must be strictly followed. Later, the work of the teachers will be to supervise the practical sessions, resolving doubts and correcting misinterpretations, errors, etc
Problem solving In the problem classes, practical assumptions will be presented directly related to theoretical concepts. The students will have to look for alternative solutions outside the classroom. The aim is to encourage student participation and promote, as far as possible, open dialogue and the assessment of solutions.
Oral presentation For some practical or problem, students must prepare a presentation where they expose their work in the classroom, highlighting the main contributions and conclusions.
Guest lecture / keynote speech Oral presentation supplemented with the use of audiovisual media and
introduction of some questions addressed to students for the purpose
to transmit knowledge and facilitate learning.
Objective test It will consist of theoretical-practical questions about any of the concepts included in the course agenda.
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