|Year of offer||2017|
|Subject level||Undergraduate Level 2|
|Fees||Subject EFTSL, Level, Discipline & Census Date|
Data processing is fundamental to computing and data science. This subject gives an introduction to various aspects of data processing including database management, representation and analysis of data, information retrieval, visualisation and reporting, and cloud computing. This subject introduces students to the area, with an emphasis on both tools and underlying foundations.
The subject's focus is on the data pipeline, and activities known colloquially as 'data wrangling'. Indicative topics covered include:
- Capturing data (data ingress)
- Data representation and storage
- Cleaning, normalization and filling in missing data (imputation)
- Combing multiple sources of data (data integration)
- Query languages and processing
- Scripting to support the data pipeline
- Distributing a database over multiple nodes (sharding), cloud computing file systems
Visualisation and presentation
Intended learning outcomes
INTENDED LEARNING OUTCOME (ILO)
Having completed this subject the student is expected to:
- Be familiar with the relationship of the data pipeline to data science
- Be able to develop and critically evaluate alternative approaches to components of typical data pipelines
- Apply data processing methodologies to preparing data while managing data quality, system scalability, and usability for decision making
On completion of this subject, students should have developed the following generic skills:
- An ability to apply knowledge of basic science and engineering fundamentals
- An ability to undertake problem identification, formulation and solution
- The capacity to solve problems, including the collection and evaluation of information
- The capacity for critical and independent thought and reflection
- Profound respect for truth and intellectual integrity, and for the ethics of scholarship
An expectation of the need to undertake lifelong learning, and the capacity to do so.
Eligibility and requirements
One of the following subjects
|Code||Name||Teaching period||Credit Points|
|COMP10001||Foundations of Computing||
|Code||Name||Teaching period||Credit Points|
|COMP10002||Foundations of Algorithms||
INFO20002 Foundations of Informatics
Core participation requirements
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Project work during semester, applying data processing to datasets, requiring approximately 45-50 hours of work in total, due in approximately week 6 and week 11, (40%). Addresses Intended Learning Outcomes, (ILO) 1, 2 and 3.
One 5-minute workshop presentation, requiring approximately 10-12 hours of work in total, presented during semester, (10%). Addresses ILO 3.
One 2-hour end-of-semester examination,(50%). Addresses ILO 1 and 2.
Hurdle requirement. To pass the subject, students must obtain at least:
- 20 / 50 in the continuous assessment
- 20 / 50 in the end-of-semester written examination
Dates & times
- Semester 1
Principal coordinator James Bailey Mode of delivery On Campus — Parkville Contact hours 48 hours, comprising of two 1-hour lectures and one 2-hour workshop per week Total time commitment 170 hours Teaching period 27 February 2017 to 28 May 2017 Last self-enrol date 10 March 2017 Census date 31 March 2017 Last date to withdraw without fail 5 May 2017 Assessment period ends 23 June 2017
Semester 1 contact information
Prof James Bailey
Time commitment details
Recommended texts and other resources
- Subject notes
EARNING AND TEACHING METHODS
INDICATIVE KEY LEARNING RESOURCES
CAREERS / INDUSTRY LINKS
- Related Handbook entries
This subject contributes to the following:
Type Name Informal specialisation Bachelor of Design Elective Subjects Informal specialisation Science-credited subjects - new generation B-SCI and B-ENG.
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and Exchange students
This subject is available to students studying at the University from overseas institutions on exchange and study abroad.