Mestrado Universitario en Enxeñaría Industrial (plan 2018)
Descriptors
Cycle
Period
Year
Type
Credits
Official Master's Degree
2nd four-month period
Second
Optional
4.5
Language
Spanish
Galician
Teaching method
Face-to-face
Prerequisites
Department
Ciencias da Computación e Tecnoloxías da Información Computación
Coordinador
Bellas Bouza, Francisco Javier
E-mail
francisco.bellas@udc.es
Lecturers
Bellas Bouza, Francisco Javier
Mallo Casdelo, Alma María
E-mail
francisco.bellas@udc.es
alma.mallo@udc.es
Web
General description
This course provides an introduction to the computational automatic learning techniques most commonly used in the field of industrial engineering. It will provide an overview of the field of machine learning to understand what types of problems are solved and with what techniques, with the aim of providing the student with a general knowledge on the scope of application of them.
Contingency plan
1. Modifications to the content
- No changes will be made
2. Methodologies
Teaching methodologies that are maintained
- Supervised work
- Oral presentation
- ICT Practical sessions
- Master class
- Proba obxectivo
Teaching methodologies that are modified
- Oral presentation: using Microsoft Teams or equivalent institutional application
- ICT Practical sessions: using Microsoft Teams or equivalent institutional application, and using appropriate programming software that will be provided to students
- Master class: carried out through Microsoft Teams or equivalent institutional application, also leaving the students or their content in video format for later viewing
3. Mechanisms for personalized attention to students
- Email: Daily. Used to make queries, request virtual meetings to resolve doubts and perform or follow up on the work being protected.
- Moodle: Daily. According to the needs of the students, who have forums in which they can export questions in general to the rest of the group.
- Teams: 1 class per week for big group to advance in the theoretical concepts and for the ICT sessions, using the hours originally scheduled in the School calendar. In addition, this tool will be used for the resolution of personalized questionnaires with students, preferably during class hours. This contact can be through chat or call, which is more appropriate to resolve the query.
4. Modifications in the evaluation
- No changes will be made on the first or second evaluation period.
Evaluation observations:
- Keep to the percentages of all methodology in the assessment, including objective testing, which is performed equally online in the final minutes of each online theory class. In this case, the link to the questionnaire is provided in the Teams meeting, which takes place in the main class.
5. Modifications of the bibliography or webgraphy
- No changes will be 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
