Teaching GuideTerm
Faculty of Computer Science
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Grao en Ciencia e Enxeñaría de Datos
 Subjects
  Machine Learning I
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Identifying Data 2021/22
Subject (*) Machine Learning I Code 614G02019
Study programme
Grao en Ciencia e Enxeñaría de Datos
Descriptors Cycle Period Year Type Credits
Graduate 2nd four-month period
Second Obligatory 6
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Ciencias da Computación e Tecnoloxías da Información
Coordinador
Rabuñal Dopico, Juan Ramon
E-mail
juan.rabunal@udc.es
Lecturers
Álvarez González, Sara
Molares Ulloa, Andrés
Rabuñal Dopico, Juan Ramon
Rivero Cebrián, Daniel
Rodríguez Tajes, Álvaro
E-mail
sara.alvarezg@udc.es
andres.molares@udc.es
juan.rabunal@udc.es
daniel.rivero@udc.es
a.tajes@udc.es
Web
General description This course presents an overview of automatic learning. The syllabus explains the different techniques and methods, including supervised and unsupervised learning. In the practical part, real cases 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.
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