Department of Statistics

STATS 220 Data Technologies

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Below description edited in year: 2018

Points: 15

Prereqs: 15 points in Stage 1 Computer Science or Statistics

Credit: Final exam 60%; test 20%; assignment 15%; labs 5%; must obtain at least 50% overall and at least 50% in final exam to pass.

Textbooks: Introduction to Data Technologies

For Advice: Brendon Brewer (Email: | extn: 82665)

Taught: First Semester City

Website: STATS 220 website

This course introduces a variety of computer technologies relevant to storing, managing, and processing data. The course has two aims: to teach software tools specific to the handling of data, and to teach and build confidence with general concepts of computer languages. It is useful for students with interests in applying statistics in business or research environments. Lectures will be reinforced with weekly lab work.

Topics studied include: How to write computer code; publishing data on the World Wide Web (HTML); data description and semantic markup (XML); data storage (file formats, spreadsheets, databases); data management and summary (database queries, SQL); R programming and data manipulation.

Although every reasonable effort is made to ensure accuracy, this information for the course year (2018) is provided as a general guide only for students and is subject to alteration. All students enrolling at the University of Auckland must consult its official document, the University of Auckland Calendar, to ensure that they are aware of and comply with all regulations, requirements and policies.

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