Data Mining and Knowledge Discovery
University of Wollongong ยท NSW ยท INFO411
Data Mining and Knowledge Discovery is a subject at University of Wollongong, NSW in School of Computing and Information Technology. It covers topics like data-mining, knowledge-discovery. It is part of 12 degrees. The information below is compiled from public course material โ approximate, not official.
University of Wollongong
INFO411
6.00
School of Computing and Information Technology
Topics covered
Degrees that include Data Mining and Knowledge Discovery
- Bachelor of Computational Technology
- Bachelor of Computer Science (Honours)
- Bachelor of Computer Science - UOWD
- Bachelor of Data Science and Analytics (Honours)
- Bachelor of Engineering (Honours) - Bachelor of Mathematics
- Bachelor of Information Technology
- Bachelor of Mathematics
- Bachelor of Mathematics and Finance (Honours)
- Bachelor of Mathematics and Finance (Honours) (Dean's Scholar)
- Bachelor of Mathematics - Bachelor of Computer Science
- Bachelor of Mathematics - Bachelor of Laws
- Bachelor of Mathematics - Bachelor of Science (Physics)
Frequently asked questions
What is Data Mining and Knowledge Discovery about?
Data Mining and Knowledge Discovery covers topics like data-mining, knowledge-discovery.
Which degrees include Data Mining and Knowledge Discovery?
Data Mining and Knowledge Discovery is part of 12 degrees, including Bachelor of Computational Technology, Bachelor of Computer Science (Honours), Bachelor of Computer Science - UOWD, Bachelor of Data Science and Analytics (Honours), Bachelor of Engineering (Honours) - Bachelor of Mathematics.
How many credit points is Data Mining and Knowledge Discovery?
Data Mining and Knowledge Discovery at University of Wollongong is typically around 6.00 credit points. Approximate โ confirm with the university.
Where is Data Mining and Knowledge Discovery taught?
Data Mining and Knowledge Discovery is taught at University of Wollongong, NSW.
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Sources: University of Wollongong public course catalogue. Information is compiled and summarised โ not copied verbatim โ and is approximate; always confirm with the original source.
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