ADS4001 Research methods in data science
Faculty of Science
ADS4001 Research methods in data science is a level 4, 6-credit-point, undergraduate and postgraduate unit from the Faculty of Science, offered in 2024 in Semester 1 at Clayton. It has no prerequisites.
- Credit points
- 6
- Offered in 2024
- Semester 1
- Clayton
- Assessment
- No exam
- 4 tasks
This is the 2024 handbook entry. See the 2027 entry.
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Requisites
Before ADS4001
No prerequisites or corequisites besides the enrolment rules below.
After ADS4001
No unit lists ADS4001 as a prerequisite in the 2024 handbook.
Enrolment rules
PREREQUISITE: Enrolment in the Bachelor of Applied Data Science Advanced (Honours) and completion of 144 credit points of study
Overview
In this unit, you will be introduced to important principles for undertaking research in the field of Data Science. The skills developed and knowledge acquired from this unit will prepare you to conduct and communicate your own research, as well as to be knowledgeable and critical interpreters of research more generally.
You will be introduced to the principles of research design, research ethics, and research methods and techniques of data collection and analysis appropriate to Data Science research generally. These skills will then be applied to the development, and written and oral communication of a research proposal.
Offerings in 2024
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
Assessment
- AssignmentsAssignment50%
- Informal workshop presentationsPresentation10%
- Research proposal presentationPresentation10%
- Written research proposal30%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Review and critique research literature and findings from a wide range of sources in data science;
- 2
Communicate research findings orally and in writing;
- 3
Explain the technical, ethical and professional issues that may arise in data science research and demonstrate them in practice;
- 4
Evaluate, select and justify research methods and techniques appropriate to particular projects in data science;
- 5
Integrate research skills into effective team and project work;
- 6
Develop a research project and produce a proposal explaining the project and its design.
Workload and teaching
- Workshops24 hours
- Teaching approachActive learning
The weekly workload requirements will be:
- Two hours of attendance at weekly workshops.
- Approximately 10 hours per week of independent study.
This unit aims to introduce research methods in Data Science to advanced students in preparation for the research project that they will complete in the second semester of the Honours year.
You will attend workshops where you will be introduced to research methods and critical analysis of literature. You will then apply this knowledge through regular critical reviews and informal presentations on important papers in the scientific literature (LO1-LO5). The final assessment will consist of a written research proposal and presentation by each student (LO1-LO4, LO6).
Contacts
- Chief Examiners
- Dr Simon Clarke
- Unit Coordinators
- Dr Zachari Swiecki
Common questions
What are the prerequisites for ADS4001?
ADS4001 has no prerequisites, but enrolment rules apply.
When is ADS4001 offered?
In 2024, ADS4001 runs in Semester 1 at Clayton.
Does ADS4001 have an exam?
No. ADS4001 has 4 assessment tasks and no exam.