Guia docente 2024_25
Centro Universitario da Defensa da Escola Naval Militar de Marín
Grado en Ingeniería Mecánica
 Subjects
  Automobiles
   Assessment
  Description Qualification Training and Learning Results
Mentored work The student will carry out a research work (TI) about a case proposed by the lecturer and will deal with issues related to topics 11 and 12. The work will be scored from 0 to 10 according to their content and defense, following the rubric provided at the time of assigning the topics to the students 15 B3
B4
D1
D2
D3
D5
D8
D9
D10
D16
D17
Practices through ICT The evaluation of the practical part (NP) will be made from the reports or questionnaires corresponding to each one (a total of 4-5), with a total value of 10 points. 15 B3
B4
D1
D2
D3
D5
D8
D9
D10
D16
D17
D20
Autonomous problem solving One theoretical and practical test (PI) of continuous evaluation (30%) will be carried out at the end of at the end of topic 5 or 6. Their evaluation will be carried out on 10 points each.

The Continuous Assessment Final Test (with a 40% weight) will be carried out in the evaluation week and will be valued at 10 points. It will be necessary to obtain a grade higher or equal to 4 points out of 10 in the final exam of continuous evaluation in order to qualify for the one approved by continuous assessment.
70 B3
B4
D1
D2
D3
D5
D8
D9
D16
 
Other comments on the Evaluation

The final mark of continuous assessment (NEC) shall be calculated as follows: 

NEC = 0.30 · PI + 0.15 · TI + 0.15 · NP + 0.4 · PF 

The student must submit to the regular examination of all the contents of the subject, which will represent 100% of the grade, in the following cases: 

  • The final grade of continuous assessment (NEC) is less than 5. 
  • The non-delivery of research work. 
  • The non-execution or delivery of the memory of practices, unless it is exempted for good cause. 
  • Obtain a grade below 4 points out of 10 on the final continuous assessment exam. 

The continuous evaluation note in case of not fulfilling some of the last four previous requirements will be obtained by the expression:
NECS = min (4, NEC) 

In any case, the student who has passed the continuous assessment, will have the possibility to submit to the regular exam to improve his/her grade.

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, as well as point 6 of the fifth rule of Order
DEF/711/2022, of July 18, which establishes the requirements for
evaluation, progress, and ongoing enrolment in military educational
training centres for incorporation into the ranks of the Armed Forces, 
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.

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