✔ SEMINARS IN MSC PROGRAMME ON ARTIFICIAL INTELLIGENCE
ECTS: 2 credits for each of the seminars.
S1: Research Methodology - Feb 3rd
This seminar tries to inform and guide the students about techniques, most common standards and systems for the practice of scientific research and its methodological bases and documentaries. The topics are as follows: General Approach (scientific knowledge and its purpose, problems of scientific research, research works); Scientific Work (choice of subject, setting objectives, formulating hypotheses, choice of work method, choice of tools and resources. Phases of work); Information Search (sources, publications, bibliographical searches, access to scientific documentation, internet, etc.); Work Writing (rules, principles, tips, style, language, etc.) and Presentation and Defence of Work (legal aspects, formal aspects, personal aspects, visual aids to support the presentation).
Óscar Corcho, Asunción Gómez
S2: Project Management and Risk Control - Feb. 10rd
Project Management and Risk Control (offered in English). This seminar will cover fundamental aspects of project management and risk control. It will be possible for the student to understand the principles of project management, risk and change management, as well as to acquire the ability to apply methodologies and processes for project management and risk mitigation.
Javier Bajo, Asunción Gómez
S3: Ethical and legal aspects of Artificial Intelligence - Feb. 17th
This seminar provides students with some notions on intellectual property, privacy and data protection necessary to manage AI projects. The students will also learn how to evaluate in practice the ethical aspects of an AI project.
Asunción Gómez, Víctor Rodríguez
S6: Natural Computing - Mar. 8th
The seminar provides students with general knowledge about thetopic of Natural Computing, being itself an introduction to the different modules which are part of the subject: Intelligent Search based on Metaheuristics, Evolutionary Computation and Unconventional Computing (biomolecular computing and biocircuit engineering).
Alfonso Rodríguez, Pedro Larrañaga, Alfonso Mateos
S7: Knowledge Representation and Reasoning - Mar. 22nd
The seminar provides students with general knowledge on the topic of Knowledge Representation and Reasoning Models, being itself an introduction to the several modules and seminars that are part of the subject: Intelligent Agents and Multi- agent Systems, Ontology Engineering, Commonsense Reasoning and Fuzzy Logics.
Javier Bajo, Manuel Hermenegildo, Elena Montiel, Carmen Suárez