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Appendix LNU
- PDF file
- 18.76 Mb
- 375 pages
- 6/26/2020
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Applied Machine learning In the modern IT world, businesses often have access to large amounts of data collected from customer management systems, web services, customer interaction, etc. The data in…
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Avian influenza in Bangladesh: the role of migratory birds in the transmission of disease News
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Computational and Visual Network Analysis Course 5 credits
- Spring 2024
- Växjö
- Master’s level
- 33%
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Computational and Visual Network Analysis Course 5 credits
- Spring 2024
- Växjö
- Master’s level
- 33%
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Computer Networks - an introduction Course 7.5 credits
- Spring 2024
- Växjö
- Bachelor’s level
- Half-time
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Computer Networks - an introduction Course 7.5 credits
- Spring 2024
- Växjö
- Bachelor’s level
- Half-time
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Computer Networks - an introduction Course 7.5 credits
- Spring 2024
- Växjö
- Bachelor’s level
- Half-time
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Course syllabus 1DV201 7.5 hp Computer Networks - an introduction
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Course syllabus 1DV21U 7.5 hp Computer Networks - an introduction
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Course syllabus 1DV701 7.5 hp Computer Networks - an introduction
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Course syllabus 1DV71U 7.5 hp Computer Networks - an introduction
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Data Mining Course 5 credits
- Autumn 2024
- Växjö
- Master’s level
- 33%
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Data Mining Course 5 credits
- Autumn 2024
- Växjö
- Master’s level
- 33%
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Data Mining Course 5 credits
- Autumn 2024
- Växjö
- Master’s level
- 33%
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Digital Forensics Course 7.5 credits
- Autumn 2024
- Växjö
- Bachelor’s level
- Half-time
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Digital Humanities Digital humanities is an interdisciplinary field of study that represents a bridge between the arts and humanities and information technology.
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Digital Humanities, Master Programme Programme 120 credits
- Autumn 2024
- Distance
- Master’s level
- Full-time