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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Machine Learning I |
| Assessment |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Machine Learning I | Code | 614544012 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Obligatory | 6 | ||||||||||
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| Methodologies | Competencies | Description | Qualification |
| Laboratory practice | A13 A16 B2 B3 B5 B6 B7 C3 C7 | Resolution of real world problems using the methodology, for which several techniques explained in theory will be used, and the student will be stimulated to generate new ideas for the resolution of these problems. | 25 |
| Objective test | B3 B8 C4 C8 C9 | Test questions about the contents of the course, based on the different machine learning techniques and their applications. | 50 |
| Supervised projects | B2 B3 B4 B5 B8 B9 C4 C8 C9 | Writing of the report on the resolution of the real problems carried out in the laboratory practices. The writing of the report will include a bibliographic review of the most important works related, written in English for the most part, documentation on the problem to be solved, methodology used, and comparison of the results found in the application of the different techniques, as well as a critical evaluation of both the results obtained and the information used. | 25 |
| Assessment comments | |||
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Students must achieve at least 40% of the maximum mark for each part (theory, practice) and in any case the sum of both parts must exceed 5 to pass the subject. If any of the above requirements is not met, the grade of the call will be established according to the lowest grade obtained. In the second opportunity, the evaluation will be carried out with the same criteria, and a new term will be opened for the delivery of the practical works. Grades will not be saved between academic courses. The deliveries of the practices must be made within the period established in the virtual campus and must follow the specifications indicated in the statement both for their presentation and their defense. Students will have the condition of "Presented" if you attend the theoretical test in the official evaluation period. In the case of fraudulent completion of exercises or tests, the Regulations for evaluating the academic performance of students and reviewing qualifications will be applied. In application of the corresponding regulations on plagiarism, the total or partial copy of any practice or theory exercise will suppose the suspense in the activity in which plagiarism has been detected, with a grade of 0. |
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