Data is the gold of the 21st century. Across all disciplines it is crucial to be able to effectively share and analyse large data collections. Managing data in spreadsheets however only works for small data sets and easily ends in 'Excel Hell'. This OLE introduces databases for scientists and other non-IT disciplines, and will teach the SQL database query language with a focus on developing practical skills for data analysis. Database systems (for example SQL Server or MySQL) are widely used in industry and academia, and are essential for effective sharing of large data collections. The SQL language is a powerful tool for analysing big data without the need to programming. The OLE will be delivered using an interactive online tutorial platform with auto-grading support, and (for 2CP students) online guidance from a human tutor. It is complementary to other OLEs about data-focused computation and programming for data analysis.
Unit details and rules
Unit code | OLET1301 |
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Academic unit | Computer Science |
Credit points | 2 |
Prohibitions
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INFO2120 OR ISYS2120 OR DATA1001 OR DATA2001 |
Prerequisites
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None |
Corequisites
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None |
Assumed knowledge
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None |
Available to study abroad and exchange students | No |
Teaching staff
Coordinator | Farnaz Farid, farnaz.farid@sydney.edu.au |
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