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 2027 in Semester 1 at Malaysia. It has no prerequisites and unlocks 1 unit, leading on to 2 units in all.
- Credit points
- 6
- Offered in 2027
- Semester 1
- Malaysia
- Assessment
- Exam 60%
- and 2 other tasks
- Workload
- 144 hours
- per semester
Reviews
No reviews yetNo reviews yet. Be the first to review FIT1043.
Requisites
Before FIT1043
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: MTH1010 or VCE Mathematics Methods or Specialist Mathematics units 3 & 4 with a study score of 25 or equivalent.
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 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
Assessment
- In-Class examinationQuiz / Test10%
- Data science assignment 1Exercise20%
- Data science assignment 2Exercise20%
- Semester 1: Scheduled final assessment (2 hours and 10 minutes)Examination50%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Detail the phases of the data science lifecycle and differentiate the roles involved in a data science project.
- 2
Implement strategies for acquiring, cleaning, and organising data prior to analysis.
- 3
Utilise basic data analysis models to extract insights and critique their effectiveness.
- 4
Understand fundamental properties of Big Data and their influence on storage and processing and evaluate the strengths and weaknesses of Big Data tools for specific contexts.
- 5
Examine data science projects by identifying and discussing inherent ethical, privacy, and data management issues, including their broader impacts.
- 6
Apply commonly used data science software and programming languages to interpret results across a diverse range of scenarios.
Workload and teaching
- Lectures24 hours
- Applied sessions22 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 teaching activities.
Learning resources
Technology resources
You must regularly check Moodle for announcements. Some content will be provided via videos, audio, PDF and ePUBs so you must have a suitable laptop or similar to access the content.
Contacts
- Chief Examiners
- Dr Mahsa Salehi
- Unit Coordinators
- Dr Ting Fung
Common questions
What are the prerequisites for FIT1043?
FIT1043 has no prerequisites, but enrolment rules 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 2027, FIT1043 runs in Semester 1 at Malaysia.
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 60% of the final mark, alongside 3 other tasks.