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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| AI in Big Data Environments |
| Assessment |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | AI in Big Data Environments | Code | 614544016 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
Second | Optional | 6 | ||||||||||
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| Methodologies | Competencies | Description | Qualification |
| ICT practicals | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C7 C8 C9 | Assessment of practical work: 50% marks the solutions proposed by the students to the exposed practices will be evaluated. The internship evaluation can take place through a correction by the teacher, a defense of the solution provided by the student before the teacher or an oral presentation of the developed solution. All work must be delivered before the dates to be specified and must meet minimum quality requirements to be considered. The degree of compliance with the specifications, the methodology and rigor and the presentation of results will be assessed |
50 |
| Objective test | A11 A12 A13 B2 B6 B7 B8 B9 C4 C8 C9 | Questions about the contents of the subject (which can be of the test type or problems to solve), based on the different advanced machine learning techniques and their applications. | 50 |
| Assessment comments | |||
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To pass the subject, a total score of 5 or higher must be achieved. It is essential to pass all the practices indicated as mandatory. Condition for qualification of Not Presented: do not present any practice and do not attend the final exam. Students who are not newly enrolled do not retain grades from previous courses. Recovery opportunity (July) and extraordinary: The assessment will be the same as in the ordinary opportunity. Students who have not submitted the proposed assignments throughout the semester must submit them before the established date. Condition for qualification of Not Presented: do not present any practice and do not attend the final exam. The submitted work must be original by the student. In accordance with article 14, section 4, of the regulations, the delivery of non-original works or with duplicate parts (either by copies between colleagues or by obtaining from other sources...) will carry a global grade of SUSPENSION IN THE ANNUAL CALL, both for the /a student who presents copied material as if to whom it was provided. |
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