| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| SCIENTIFIC PROGRAMMING |
 
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| IDENTIFYING DATA | 2022_23 | |||||||||||||||||
| Subject (*) | SCIENTIFIC PROGRAMMING | Code | 17705105 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 4.5 | Compulsory | First | 1Q |
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| Modality and teaching language | See working groups | |||||||||||||||||
| Prerequisites | ||||||||||||||||||
| Department | Electronic, Electric and Automatic Engineering Computer Engineering and Mathematics |
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| Coordinator |
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alexandre.perera@urv.cat monica.rojas@urv.cat |
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| Lecturers |
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| Web | ||||||||||||||||||
| General description and relevant information |
This subject will introduce the student to the required programming languages and tools to develop data science in the health area. The class will cover elements of code development, optimisation for speed and resources usage capable of dealing with large volume of health related data. In addition several methodologies for high level data representation and interactive visualisation will be introduced. |
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| (*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. | ||||||||||||||||||
