- Code COMP8430
- Unit Value 6 units
Real-world data are commonly messy, distributed, and heterogeneous. This course introduces core concepts of data cleaning and standardisation, and data integration, that are aimed at converting and mapping raw data into other formats that allow more efficient and convenient use and analysis of data. The courses also discusses data quality, management, and storage issues as relevant to data analytics.
- Critically reflect upon different data sources, types, formats, and structures,
- Research, justify and apply data cleaning, preprocessing, and standardisation for data analytics,
Apply data integration concepts and techniques to heterogeneous and distributed data,
Interpret, assess and discuss data quality measurements,
Research and justify advanced data wrangling, data integration, and database techniques as relevant to data analytics
If you believe you meet the pre-requisites for this course through alternative means, please contact firstname.lastname@example.org to apply for an exemption.
- Written and practical assignments (40% each) - LO 1 to 4
- Oral presentation and report (20%) - LO 5
- Final examination (40%) - LO 1 to 5
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Requisite and Incompatibility
You will need to contact the ANU College of Engineering and Computer Science to request a permission code to enrol in this course.
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Band 2
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
Offerings and Dates
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery|
|1754||06 Mar 2017||10 Mar 2017||24 Mar 2017||05 May 2017||In Person|