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Elements of Data Processing (COMP20008)
Undergraduate level 2Points: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Prof James Bailey
email: baileyj@unimelb.edu.au
Semester 2
Dr Pauline Lin
Overview
Availability | Semester 1 Semester 2 |
---|---|
Fees | Look up fees |
AIMS
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.
INDICATIVE CONTENT
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
Apply data processing methodologies to preparing data while managing data quality, system scalability, and usability for decision making
Generic skills
On completion of this subject, students should have developed the following generic skills:
- An ability to apply fundamental knowledge in reasoning and problem solving
- 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.
On completion of this subject, students should have developed the following generic skills:
- An ability to apply fundamental knowledge in reasoning and problem solving
- 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.
Last updated: 23 December 2023
Eligibility and requirements
Prerequisites
One of the following subjects:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP10001 | Foundations of Computing |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP10003 | Media Computation | Semester 1 (On Campus - Parkville) |
12.5 |
Students who have completed COMP10002 Foundations of Algorithms but neither COMP10001 Foundations of Computing nor COMP10003 Media Computation and who have knowledge of Python are invited to approach the subject coordinator to discuss their possible enrollment into the subject.
Corequisites
None
Non-allowed subjects
INFO20002 Foundations of Informatics
Inherent requirements (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
Last updated: 23 December 2023
Assessment
Description | Timing | Percentage |
---|---|---|
One 5-minute workshop presentation, requiring approximately 10-12 hours of work in total, presented during semester. Addresses ILO 3 and 4.
| Throughout the semester | 10% |
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. Addresses Intended Learning Outcomes, (ILO) 1, 2 and 3.
| Week 11 | 40% |
One 2-hour end-of-semester examination. Addresses ILO 1 and 2.
| During the examination period | 50% |
Additional details
Last updated: 23 December 2023
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 4 March 2019 to 2 June 2019 Last self-enrol date 15 March 2019 Census date 31 March 2019 Last date to withdraw without fail 10 May 2019 Assessment period ends 28 June 2019 Semester 1 contact information
Prof James Bailey
email: baileyj@unimelb.edu.au
- Semester 2
Principal coordinator Pauline Lin Coordinators Uwe Aickelin and Chris Ewin 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 29 July 2019 to 27 October 2019 Last self-enrol date 9 August 2019 Census date 31 August 2019 Last date to withdraw without fail 27 September 2019 Assessment period ends 22 November 2019 Semester 2 contact information
Dr Pauline Lin
Time commitment details
170 hours
Last updated: 23 December 2023
Further information
- Texts
Prescribed texts
None
Recommended texts and other resources
None
- 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 Science-credited subjects - new generation B-SCI Informal specialisation Bachelor of Design Elective Subjects - Breadth options
This subject is available as breadth in the following courses:
- 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/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 23 December 2023