Ciencias da Computación e Tecnoloxías da Información Computación
Coordinador
Rivero Cebrián, Daniel
E-mail
daniel.rivero@udc.es
Lecturers
Porto Pazos, Ana Belen
Rivero Cebrián, Daniel
E-mail
ana.portop@udc.es
daniel.rivero@udc.es
Web
General description
This course presents an overview of automatic learning. The syllabus explains the different techniques and methods, including supervised, unsupervised and reinforcement learning. In the practical part, a real case will be solved.
Contingency plan
1. Modifications to the contents
No changes are made.
2. Methodologies
Methodologies are maintained.
The written assessment test is changed to a non-attendance assessment test. This final test is necessary to make an individual evaluation of each student, since the practices and works are made in groups.
3. Mechanisms for personalized attention to students
Use of Moodle to provide material to students.
Use of the Moodle forum to communicate all those events of the subject (modifications, deliveries of practices, etc.)
Synchronous teaching in class time and asynchronous teaching through Teams.
Tutoring through the Teams chat on a continuous basis.
Tutorials through email on a continuous basis.
4. Modifications in the evaluation
The evaluation mechanisms are maintained, with the above-mentioned change of the written test to a non-attendance test.
*Evaluation observations:
The need to obtain a minimum score in the theory exam is eliminated. The rest of the evaluation observations are maintained.
5. Modifications to the bibliography or webgraphy
No changes are made.
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.
Subjects
