The course is applicative with the aim to train students on statistical tools for monitoring of complex data from marine technology systems. Applications and case studies are addressed to train students to formulate and define strategies for quality control and monitoring in order to support decision making process in a big data framework.
Contingency plan
1. Modifications in the contents:
The contents will not be modified.
2. Methodologies:
Teaching methodologies that will be maintained:
• Guess lecture / Keynote speech.
• ICT practicals.
• Objective test.
Teaching methodologies that are modified:
No teaching methodology is modified.
3. Mechanisms of personalized attention to students:
Tools: Microsoft Teams and e-mail.
Timing: Microsoft Teams will be used during class hours, in addition to tutoring hours. The electronic mail will be used to solve doubts and for the exchange of files and information in general.
4. Modifications in the evaluation:
The evaluation procedure will be not modified.
5. Modifications of the bibliography or webgraphy:
(*)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
