| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) |
 Subjects |
| INTERACTIVE AND VISUALISATION SYSTEMS |
 
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| IDENTIFYING DATA | 2023_24 | |||||||||||||||||
| Subject (*) | INTERACTIVE AND VISUALISATION SYSTEMS | Code | 17685206 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 3 | Optional | First | 2Q |
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| Modality and teaching language | See working groups | |||||||||||||||||
| Prerequisites | ||||||||||||||||||
| Department | Computer Engineering and Mathematics |
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| Coordinator |
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clara.granell@urv.cat |
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| Lecturers |
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| Web | https://campusvirtual.urv.cat/local/alternatelogin/index.php | |||||||||||||||||
| General description and relevant information |
Data visualization is everywhere. Its goal is to communicate data effectively, and to succeed several components must be taken into account: the fundamentals of human perception, design concepts, statistics and finally, the appropriate tools for the job. In this course the student will learn all this process, from how to encode a visual message effectively to how to implement it using the latest technology available. ------------------------------------- |
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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. | ||||||||||||||||||
