Modules and Seminars

Modules and seminars

The modules (M) that comprise the curriculum are shown below with the subjects (A) and seminars (S) that constitute them. Additionally, links to pages giving further detailed information about the subjects, subjects and seminars are available.

Notice: Learning guides corresponding to the seminars taught in the second semester will be published within the period stipulated by the UPM normative prior to the enrollment period.

​All subjects are available at Moodle (virtual classroom )

 

ACADEMIC COURSE 2021/22 

 

M1. Fundamentals of Research

M2. Decision Analysis

M3. Machine Learning

  • A4: Bayesian networks (description, learning guide)  (Available documentation is in English but classes will be taugth in Spanish and the evaluation process will be performed in Spanish)
  • A5: Machine learning (description, learning guide) (Available documentation is in English but classes will be taugth in Spanish and the evaluation process will be performed in Spanish) 
  • A6: Artificial neural networks and Deep learning (description, learning guide) (Available documentation is in English but classes will be taugth in Spanish and the evaluation process will be performed in Spanish)
  • A7: Explainable artificial intelligence (NEW in 2023-24)
  • S6: Machine learning (descriptionlearning guide   

M4. Natural Computing

M5. Knowledge Representation and Reasoning

M6. Cognitive Robotics and Perception

M7. Application Areas

M8. Seminars by visiting professors 

: Offered in english

English