Data Visualization and Computer Vision
Informacje ogólne
Kod przedmiotu: | 320-ERS-1DVCz |
Kod Erasmus / ISCED: | (brak danych) / (brak danych) |
Nazwa przedmiotu: | Data Visualization and Computer Vision |
Jednostka: | Wydział Biologii |
Grupy: |
Program ERASMUS - Biologia |
Punkty ECTS i inne: |
(brak)
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Język prowadzenia: | (brak danych) |
Rodzaj przedmiotu: | obowiązkowe |
Pełny opis: |
Substantive content: Researchers have to deal with the increasing load of the data deriving from image recording devices and whole systems like field camera traps or automated systems to behavioral observations. Moreover, data from other high throughput sources have to be handled, structured, and presented in a human-readable form. This course shows how to manipulate large data sets to create an input to the graphics tools. Students also learn how to create data plots using open-source software. Moreover, the course entails |
Literatura: |
Literature: Haddock, S. H. D., Dunn, C. W., & Sinauer Associates. (2018). Practical computing for biologists. Sunderland, MA: Sinauer Associates. Alon U., An introduction to systems biology. Design principles of biological circuits. Chapman&Hall/CRC, 2007. |
Metody i kryteria oceniania: |
Forms and conditions of credit: - attendance on the lecture - tasks completion |
Właścicielem praw autorskich jest Uniwersytet w Białymstoku.