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Elements of Data Processing (COMP20008)
Undergraduate level 2Points: 12.5Online and Dual-Delivery (Parkville)
Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Pauline Lin
Semester 2
Chris Ewin
Overview
Availability | Semester 1 - Online Semester 2 - Dual-Delivery |
---|---|
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, normalisation 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
Communicate effectively about data processing methodologies in oral form
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.
Last updated: 23 December 2023
Eligibility and requirements
Prerequisites
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP10001 | Foundations of Computing |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
Summer Term (Online)
|
12.5 |
COMP10003 | Media Computation | Semester 1 (Online) |
12.5 |
COMP90059 | Introduction to Programming |
Semester 1 (Dual-Delivery - Parkville)
Summer Term (Online)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
OR
Admission into one of the following:
- GD-CS Graduate Diploma in Computer Science
- MC-DATASC Master of Data Science
- GD-DATASC Graduate Diploma in Data Science
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 enrolment into the subject.
Corequisites
None
Non-allowed subjects
Code | Name | Teaching period | Credit Points |
---|---|---|---|
INFO20002 | Foundations of Informatics | Not available in 2024 |
12.5 |
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
Semester 1
Description | Timing | Percentage |
---|---|---|
Project work during semester, applying data processing and analysis to datasets, requiring approximately 60 hours of work per student in total, due in approximately week 5 and week 11. Addresses Intended Learning Outcomes, (ILO) 1-4.
| Due in approximately week 5 and week 11 | 50% |
One 2 hour end-of-semester online open-book examination. Addresses ILO 1 and 2.
| During the examination period | 50% |
Semester 2
Description | Timing | Percentage |
---|---|---|
2 x individual projects (50% total), projects totalling approx. 60 hours work. Due weeks 7 and 11. ILOs 1-4 are addressed.
| Due weeks 7 and 11 | 50% |
Exam (50%). ILOs 1-2 are addressed.
| During the examination period | 50% |
Additional details
Last updated: 23 December 2023
Dates & times
- Semester 1 - Online
Principal coordinator Pauline Lin Mode of delivery Online Contact hours 36 hours, comprising of one 2-hour lecture and one 1-hour workshop per week Total time commitment 170 hours Teaching period 1 March 2021 to 30 May 2021 Last self-enrol date 12 March 2021 Census date 31 March 2021 Last date to withdraw without fail 7 May 2021 Assessment period ends 25 June 2021 Semester 1 contact information
Pauline Lin
- Semester 2 - Dual-Delivery
Principal coordinator Chris Ewin Mode of delivery Dual-Delivery (Parkville) Contact hours 42 hours, comprising of two 1-hour lectures and one 1.5 hour workshop per week Total time commitment 170 hours Teaching period 26 July 2021 to 24 October 2021 Last self-enrol date 6 August 2021 Census date 31 August 2021 Last date to withdraw without fail 24 September 2021 Assessment period ends 19 November 2021 Semester 2 contact information
Chris Ewin
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 Bachelor of Design Elective Subjects Informal specialisation Science Discipline subjects - new generation B-SCI - Breadth options
This subject is available as breadth in the following courses:
- Bachelor of Arts
- Bachelor of Commerce
- Bachelor of Fine Arts (Acting)
- Bachelor of Fine Arts (Animation)
- Bachelor of Fine Arts (Dance)
- Bachelor of Fine Arts (Film and Television)
- Bachelor of Fine Arts (Music Theatre)
- Bachelor of Fine Arts (Production)
- Bachelor of Fine Arts (Screenwriting)
- Bachelor of Fine Arts (Theatre)
- Bachelor of Fine Arts (Visual Art)
- Bachelor of Music
- 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