FIT1043 Introduction to data science
Faculty of Information Technology
FIT1043 Introduction to data science is a level 1, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2020 in Semester 1 and Semester 2 at Malaysia and Clayton. It needs MTH1010 and unlocks 1 unit, leading on to 2 units in all.
- Credit points
- 6
- Offered in 2020
- Semester 1, Semester 2
- Malaysia, Clayton
- Assessment
- Exam 50%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2020 handbook entry. See the 2027 entry.
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Requisites
Before FIT1043
Prerequisites
Pass these before you enrol.
Prohibitions
You can't enrol if you have passed any of these.
After FIT1043
1 unit list FIT1043 as a prerequisite or corequisite.
Enrolment rules
Prerequisite: Or VCE Mathematics Methods Or Specialist Mathematics units 3 & 4 with a study score of 25 Note: For 2016 Further Mathematics with a study score of 35 will be accepted.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit looks at processes and case studies to understand the many facets of working with data, and the significant effort in Data Science over and above the core task of Data Analysis. Working with data as part of a business model and the lifecycle in an organisation is considered, as well as business processes and case studies. Data and its handling is also introduced: characteristic kinds of data and its collection, data storage and basic kinds of data preparation, data cleaning and data stream processing. Curation and management are reviewed: archival and architectural practice, policy, legal and ethical issues. Styles of data analysis and outcomes of successful data exploration and analysis are reviewed. Standards, tools and resources are also reviewed.
Offerings in 2020
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
| Second semester | Clayton | On campus |
| Second semester | Malaysia | On campus |
Assessment
- In-semester assessmentThreshold hurdle50%
- Examination (2 hours and 10 minutes)Threshold hurdle50%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Explain the role of data in different styles of business;
- 2
Demonstrate the size and scope of data storage and data processing, and classify the basic technologies in use;
- 3
Identify tasks for data curation and management in an organisation;
- 4
Classify participants in a data science project: such as statistician, archivist, analyst, and systems architect;
- 5
Classify the kinds of data analysis and statistical methods available for a data science project;
- 6
Locate suitable resources, software and tools for a data science project.
Workload and teaching
- Laboratories24 hours
- Lectures24 hours
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning and online engagement.
Where it fits
FIT1043 is part of 2 areas of study in the 2020 handbook.
Contacts
- Chief Examiners
- Mr Guanliang Chen
- Dr Mahsa Salehi
- Unit Coordinators
- Dr Ian Tan
Common questions
What are the prerequisites for FIT1043?
You need MTH1010 before you enrol. Enrolment rules also apply.
What can I take after FIT1043?
FIT1043 is a prerequisite or corequisite for 1 unit, including FIT3163. Those lead on to 2 units in all.
When is FIT1043 offered?
In 2020, FIT1043 runs in Semester 1 and Semester 2 at Malaysia and Clayton.
How much work is FIT1043?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does FIT1043 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 1 other task.
Which majors and minors include FIT1043?
FIT1043 is part of Data science.