|
Teaching GuideTerm Faculty of Humanities |
| Grao en Xestión Industrial da Moda |
 Subjects |
| Fundamentals of Mathematics and Data Analysis Tools |
| Assessment |
|
|
|
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Fundamentals of Mathematics and Data Analysis Tools | Code | 710G03014 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Second | Basic training | 6 | ||||||||||
|
||||||||||||||
| Methodologies | Competencies | Description | Qualification |
| Multiple-choice questions | B1 B2 B3 B4 B9 | It will consist of 15 to 20 test questions with three possible answers. | 60 |
| Supervised projects | A13 A19 B2 B3 B8 B9 C3 C7 C8 | These works will be carried out in groups of 2 to 5 people, applying statistics to real or simulated data, reviewing a topic on statistics or data science or even regarding a specific application of statistics in management and industry. | 20 |
| Problem solving | B1 B2 B3 B4 B5 B8 B9 | Student attendance and performance in problem classes and / or delivery of resolved problems will be evaluated. | 10 |
| ICT practicals | A19 B2 B3 B4 B9 C3 | The attendance and performance of the student in the practical classes will be evaluated, as well as the delivery of works related to the application of the statistical software R. | 10 |
| Assessment comments | |||
|
Evaluation at the first opportunity The mark of the multiple-choice test will be weighted with the corresponding grade for the delivery of practical work related to the practices carried out with the R statistical software, with the attendance to practical classes (ICT practices and exercises) and systematic observation of the performance of the student, with the delivery of exercises and with the accomplishment of supervised projects. Second chance evaluation The evaluation will be done following the same procedure as in the first opportunity. Early exam session All these remarks are applied to the December exam session. "No presentado" grade For any of the two opportunities to pass the subject, the "NO PRESENTADO" grade will be given to the students who did non take the multiple-choice final test. Students with recognition of part-time dedication and/or academic exemption of attendance In the case of students with recognition of part-time dedication and/or academic exemption of attendance that decides not to attend classes, they will be evaluated in the two opportunities as the rest of the students who are in a similar situation. Fraud Fraud in tests or evaluation activities will directly imply the failure grade "0" in the subject in the corresponding call, thus invalidating any grade obtained in all the evaluation activities for the extraordinary call. Observation related to the attendance at academic activities/events Attendance at the academic activities programmed in the context of the subject will be compulsory and will be taken into account in the assesment. Attention to diversity The subject may be adapted to students who require the adoption of measures aimed at supporting diversity (physical, visual, auditory, cognitive, learning or mental health-related). If this is the case, they should contact the services available at the UDC/at the centre: within the official deadlines stipulated prior to each academic term, with the Diversity Attention Unit (https://www.udc.es/cufie/ADI/apoioalumnado/); otherwise, with the ADI tutor of the Faculty of Humanities. |
|||
|
