Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
Subjects |
Statistical Quality Control |
Methodologies |
Identifying Data | 2020/21 | |||||||||||||
Subject | Statistical Quality Control | Code | 614493114 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Optional | 5 | ||||||||||
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Methodologies | Description |
ICT practicals | Interactive practice sessions using computer tools, where teachers will support and supervise the implementation of the knowledge acquired by the students. Different statistical packages that the student must know and use (mainly belonging to the R statistical software) will be used for their correct application in statistical quality control. |
Objective test | It will be carried out by means of a written test-type exam on basic concepts studied in the course. This test will score 40% of the final grade. |
Guest lecture / keynote speech | Expository sessions, in which concepts and / or procedures will be presented, providing basic information necessary to understand a theoretical perspective or a practical procedure, also promoting student participation. |
Seminar | Practical classes with exercises and / or group tutorials to solve the doubts that may arise in the development of teaching and that have not been resolved in the remaining face-to-face sessions. |
Supervised projects | Autonomous learning activities, in which teachers will guide the completion of individual work by students. In exceptional cases, due to the difficulty and multidisciplinarity of the task, this learning may be collaborative, in which the teachers will coordinate the performance of group work. Those students who wish to present a supervised work related to this subject, will be provided with a specific topic and its corresponding advice. There is also the possibility for students to propose a topic to the teachers of the subject. |
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