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Big Data Mining Techniques and Implementation

University of Wollongong ยท NSW ยท CSCI316

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Big Data Mining Techniques and Implementation is a subject at University of Wollongong, NSW in School of Computing and Information Technology. It covers topics like big-data, data-mining, programming. It is part of 2 degrees. The information below is compiled from public course material โ€” approximate, not official.

University
University of Wollongong
Code
CSCI316
Credit points
6.00
Category
School of Computing and Information Technology

Topics covered

big-datadata-miningprogramming

Degrees that include Big Data Mining Techniques and Implementation

Frequently asked questions

What is Big Data Mining Techniques and Implementation about?

Big Data Mining Techniques and Implementation covers topics like big-data, data-mining, programming.

Which degrees include Big Data Mining Techniques and Implementation?

Big Data Mining Techniques and Implementation is part of 2 degrees, including Bachelor of Computer Science - UOWD, Bachelor of Data Science and Analytics.

How many credit points is Big Data Mining Techniques and Implementation?

Big Data Mining Techniques and Implementation at University of Wollongong is typically around 6.00 credit points. Approximate โ€” confirm with the university.

Where is Big Data Mining Techniques and Implementation taught?

Big Data Mining Techniques and Implementation 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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