Algorithmic Foundations of Data Science (UG)
University of Edinburgh ยท Scotland ยท INFR11279
Algorithmic Foundations of Data Science (UG) is a subject at University of Edinburgh, Scotland. It covers topics like computational-mathematics, data-analytics, data-science, statistical-computing. It is part of 10 degrees. The information below is compiled from public course material โ approximate, not official.
University of Edinburgh
INFR11279
3.00
Topics covered
Degrees that include Algorithmic Foundations of Data Science (UG)
- Artificial Intelligence (BSc Hons)
- Cognitive Science (BSc Hons)
- Computer Science and Management Science (BSc Hons)
- Computer Science and Mathematics (BSc Hons)
- Computer Science and Physics (BSc Hons)
- Computer Science (BEng Hons)
- Computer Science (BSc Hons)
- Informatics: LFCS: Foundations of Computer Science, Databases, Software & Systems Modelling (PhD) (Full-time)
- Informatics (MInf)
- Software Engineering (BEng Hons)
Frequently asked questions
What is Algorithmic Foundations of Data Science (UG) about?
Algorithmic Foundations of Data Science (UG) covers topics like computational-mathematics, data-analytics, data-science, statistical-computing.
Which degrees include Algorithmic Foundations of Data Science (UG)?
Algorithmic Foundations of Data Science (UG) is part of 10 degrees, including Artificial Intelligence (BSc Hons), Cognitive Science (BSc Hons), Computer Science and Management Science (BSc Hons), Computer Science and Mathematics (BSc Hons), Computer Science and Physics (BSc Hons).
How many credit points is Algorithmic Foundations of Data Science (UG)?
Algorithmic Foundations of Data Science (UG) at University of Edinburgh is typically around 3.00 credit points. Approximate โ confirm with the university.
Where is Algorithmic Foundations of Data Science (UG) taught?
Algorithmic Foundations of Data Science (UG) is taught at University of Edinburgh, Scotland.
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Sources: University of Edinburgh 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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