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http://hdl.handle.net/1942/35320
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DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | NEVEN, Frank | |
dc.contributor.advisor | VANSUMMEREN, Stijn | |
dc.contributor.author | Schouteden, Daan | |
dc.date.accessioned | 2021-09-13T13:06:34Z | - |
dc.date.available | 2021-09-13T13:06:34Z | - |
dc.date.issued | 2021 | |
dc.identifier.uri | http://hdl.handle.net/1942/35320 | - |
dc.format.mimetype | Application/pdf | |
dc.language | nl | |
dc.publisher | tUL | |
dc.title | A high-performance toolkit for modelling infectious diseases | |
dc.type | Theses and Dissertations | |
local.bibliographicCitation.jcat | T2 | |
dc.description.notes | master in de informatica | |
local.type.specified | Master thesis | |
item.fullcitation | Schouteden, Daan (2021) A high-performance toolkit for modelling infectious diseases. | - |
item.contributor | Schouteden, Daan | - |
item.fulltext | With Fulltext | - |
item.accessRights | Open Access | - |
Appears in Collections: | Master theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
c5122ffd-2579-44d4-9879-5b67b90ad44a.pdf | 14.46 MB | Adobe PDF | View/Open |
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