An activity carried out in a virtual environment in which diverse and current topics related to the academic and/or professional field are debated. It allows the evaluation of the student's skills, knowledge and, to a lesser extent, attitudes. Participation in the forums will be evaluated. The evaluation will be online.
5
A6 A7 A8 A9 A10
B1 B2 B3
C12 C13
D5
Presentation
Presentation by the students, individually or in groups, of a topic related to the contents of the subject or of the results of a work, exercise, project, etc. Through the presentation, knowledge, skills and attitudes can be evaluated. The evaluation will take place in person.
40
A6 A7 A8 A9 A10
B1 B2 B3
C12 C13
D5
Practices through ICT
Report on simulator exercises on broadband networks, multimedia technologies, delay tolerant networks, etc. The evaluation will take place in person.
5
A6 A7 A8 A9 A10
B1 B2 B3
C12 C13
D5
Self-assessment
Mechanism in which, by means of a series of questions or activities, it is possible for the student to evaluate autonomously his/her degree of acquisition of knowledge and skills on the subject, allowing a self-regulation of the personal learning process. The evaluation will be online.
20
A6 A7 A8 A9 A10
B1 B2
C12 C13
D5
Objective questions exam
Test that evaluates the knowledge gained by the students and that includes questions with different answer alternatives (true or false, multiple choice, matching items, etc.). Students select an answer from a limited number of possibilities. The evaluation will take place in person.
30
A6 A7 A8 A9 A10
B1 B2
C12 C13
D5
Other comments on the Evaluation
It will be necessary to reach at least 50% of the grade to pass the course.
In case of detection of plagiarism or unethical behavior in any of the works/tests, the grade for the course will be "fail (0)" and the faculty will communicate the matter to the academic authorities so that they can take the appropriate measures.
Extraordinary call: In case the student fails to pass the course in the ordinary call, he/she will have the right to a second opportunity for evaluation (extraordinary call) on the dates established for this purpose by the Master's Academic Committee. The evaluation of the extraordinary call will be carried out remotely. To pass the course it will be necessary to pass the different parts in which the subject is divided: tutored work, practices (to be carried out by the student on his or her computer and a report of results will be delivered) and questionnaires and written test on the contents presented in the lectures.
ACADEMIC INTEGRITY:
Students are expected to show adequate ethical behaviour, committing to act honestly. Based on article 42.1 of the Regulation on the evaluation, qualification and quality of teaching and the student learning process of the University of Vigo, any violation of academic integrity in the assessment process, as well as the cooperation in it will result in the assignment of a failing grade to the student (zero) for the entire course in the corresponding assessment opportunity, regardless of the percentage of importance that the test in question had in the overall continuous assessment, and independently of other disciplinary actions that may be applied.
In the academic activities and assignments of this course, the use of Generative Artificial Intelligence (GAI) tools is allowed, used in an ethical, critical and responsible manner. In case you have used GAI, you should critically evaluate any results it provides, carefully verify any citations or references generated, and declare the use of these tools. It is not necessary to disclosure the use of GAI in tasks that do not produce content (proofreading language - spelling or grammar - in a document, translating text, obtaining suggestions to reorganize content or modify the style of a document, or to adapt the format of bibliographic references). AI-generated content (text, images, etc.) must be disclosured and correctly referenced, providing, at least, the following elements: generated content, prompt used in the query, tool used, version, company authoring the software, date on which the query was made and the link to the tool's website. The detection of situations involving non-disclosure of GAI will be considered academic fraud and the measures described in the previous paragraph will be applied.
In the case of any difference between the Galician/Spanish/English guides related to the evaluation, the Spanish guide will always prevail.
Universidade de Vigo
|
Reitoría |
Campus Universitario |
C.P. 36.310 Vigo (Pontevedra) |
España |
Tlf: +34 986 812 000
