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.
|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