Teaching GuideTerm
Faculty of Computer Science
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Máster Universitario en Intelixencia Artificial
 Subjects
  Intelligent Robotics I
   Assessment
Methodologies Competencies Description Qualification
Objective test A18 B1 B6 B9 Final test of the subject which will consist of an individual written examination of the theory part.

General evaluation criteria:
* Correct answers and appropriate solutions to the test questions.
30
Document analysis A18 A19 B1 B3 B9 C5 Part of the lectures will be used to evaluate the understanding of the documentary sources, which will be provided by the teaching staff prior to the class for consultation and understanding. These evaluations will be carried out by means of group work, small reports, questionnaires, or other methodologies that allow an objective assessment of the degree of analysis carried out. 20
Supervised projects B2 B7 C3 C7 C8 Several practical tasks will be proposed throughout the course focused on solving problems using autonomous robots. These tasks will be developed autonomously by the student and will have to be defended afterwards. It is essential to obtain a passing grade in this methodology independently (minimum grade of 5 considering that it is assessed from 0 to 10) in order to pass the course. 50
 
Assessment comments

The evaluation of the subject will consist of two different parts: theory (50%) and practical work (50%). The theoretical part will be evaluated by means of an objective test and by means of the Document analysis carried out during the course. The practical part will be evaluated on the basis of the solution achieved by the students, which must be presented at the end of each practical (which may include a report). It will be necessary to pass the theory part and the practical part separately in order to pass the course.

Attendance to both theory and practical classes will be compulsory in order to pass the course, except in cases of justified absence. For those students who have an exemption, the value of the Document analysis methodology will be included in the Objective Test (50). In addition, they will not be obliged to attend the theory classes.

Second chance assessment: Students will have to make up each failed part (theory and/or practical). If one of the two parts was passed during the first opportunity, the student may choose to keep the corresponding mark and only recover the failed part.

The subject-specific competences as well as the general-basic competences have specific contents in the subject that are introduced both in the lectures and in the interactive classes. Subsequently, students will develop these competences in the classroom activities, in the theory exam and by carrying out practical work in which they will also work on the transversal competences, especially those related to the ability to use ICT tools (CT3), the understanding of entrepreneurial culture (CT5), the ability to work in a team (CT7) and the valuation of research and innovation (CT8). The specific competences will be assessed both in the practical work that the student carries out during the course and in the theory exam and in the assignments in the theory classes.

For cases of fraudulent performance of exercises or tests, the "Regulations for the evaluation of students' academic performance and revision of grades" will apply. In the specific case of the UDC, article 11, section 4 b) of the UDC Student Disciplinary Regulations applies:

b) Failure grade in the term in which the offence is committed and with respect to the subject in which it is committed: the student will be graded with a "fail" (numerical grade 0) in the corresponding term of the academic year, whether the offence is committed on the first or second occasion. To this end, the student's grade will be modified at the first opportunity, if necessary.

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