The main objective of this course is to learn advanced artificial intelligence techniques

This course provides different artificial intelligence techniques.

Topic 1 Introduction to Artificial Intelligence

Topic 2 Advanced Artificial Intelligence Techniques

Master classes, seminars, laboratories, assignments, practices and presentations.



The skills and competences demonstrated in all aspects of the subject make up your note: active participation, tasks, practice, presentations, etc.

• Continuous Assessment System
• Final Assessment System
• Tools and qualification percentages:
  • The skills and competences demonstrated in all aspects of the subject make up their note: active participation, individual tasks, group practices, presentations, etc. (%): 100

The subject has two possible evaluation modes: final and continuous.



The continuous evaluation is the preferred mode. It establishes a set of activities that allows assessing the progress of each student throughout the course. Thus, the continuous evaluation is offered by default to students who should deliver the assignments of the subject in the established framework including assistance, presentations and face-to-face activities.



Students can also be evaluated through the final evaluation mode. In this case, the students on established dates (when reaching around 60% and 80% of the course) must submit to the teaching supervisors a formal resignation to the continuous evaluation. Then, the teaching supervisors will assign a mandatory work that can consist of an oral presentation, a practical work or both that must be delivered before the date of the ordinary and extraordinary exam.

Final Evaluation



Delivery of mandatory practical work and oral presentation prior to the written exam on the date indicated for the ordinary and extraordinary examination: 100%

• eGela

Basic bibliography

Journals

Artificial Intelligence. Elsevier Science.