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CITS4009 introduces the key concepts of fundamentals of data extraction, data cleaning and developing data analysis pipelines using R and Python programming languages. Students are able to (1) write programs to systematically collect, process and integrate data from traditional databases and web-based resources; (2) understand and make choices over an array of data representation and storage options; and (3) demonstrate programming abilities to build web-based interface for exploratory data visualisation.
Unit Coordinator: | Prof. Amitava Datta Prof. Mark Reynolds |
Tutor: | Thomas Smoker | Lecture times: | 12:00 - 2:00pm Thursdays (RBST: Robert Street Lecture Theatre) |
Laboratory sessions: | 10:00-12:00 Mondays (CSSE Lab 2.03) 12:00-2:00 Mondays (CSSE Lab 2.03) 9:00-11:00 Tuesdays (CSSE Lab 2.03) | Email discussion list for CITS4009: | help4009 |
Consultation times: | 10:00 - 11:00am Fridays |
There are no labs in the first two weeks.
Assessment | Assessment Dates | |
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Mid Semester Test | September 14 (second hour of lecture) | |
Project Released | September 25 | |
Project Due | October 31, 11:59 pm | |
Final exam | 2 hours, November |
Before undertaking this unit, students are strongly encouraged to read:
School of Computer Science & Software Engineering The University of Western Australia Crawley, Western Australia, 6009. Phone: +61 8 9380 2716 - Fax: +61 8 9380 1089. CRICOS provider code 00126G |