FIT5145 Introduction to data science
Faculty of Information Technology
FIT5145 Introduction to data science is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology, offered in 2021 in Summer A, Semester 1 and Semester 2 at Clayton and Monash Online. It needs FIT9131, FIT9133 or FIT9136.
- Credit points
- 6
- Offered in 2021
- Summer A, Semester 1, Semester 2
- Clayton, Monash Online
- Assessment
- Exam 100%
- and 13 other tasks
- Workload
- 144 hours
- per semester
This is the 2021 handbook entry. See the 2027 entry.
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Requisites
Before FIT5145
Prerequisites
Pass these before you enrol.
Prohibitions
You can't enrol if you have passed any of these.
After FIT5145
No unit lists FIT5145 as a prerequisite in the 2021 handbook.
Enrolment rules
Prerequisite: For students enrolled in E3001, E3002, E3005, E3010, E3011, E3007 completing the Software Engineering specialisation: FIT2099
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit looks at processes, case studies and simple tools 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. Styles of data analysis and outcomes of successful data exploration and analysis are reviewed. Standards, tools and resources are also reviewed. Basic curation and management are reviewed: archival and architectural practice, policy, legal and ethical issues.
Offerings in 2021
| Teaching period | Campus | Mode |
|---|---|---|
| Summer semester A | Clayton | On campus |
| First semester | Clayton | On campus |
| Second semester | Clayton | On campus |
| Teaching period 1 | Monash Online | Mo |
| Teaching period 4 | Monash Online | Mo |
Assessment
- Data Science exercises IOtherThreshold hurdle5%
- Business and data case study: PlanOtherThreshold hurdle5%
- Data Science exercises IIOtherThreshold hurdle20%
- Business and data case study: Report and presentationReportThreshold hurdle10%
- Scheduled final assessment (2 hours and 10 minutes)ExamThreshold hurdle60%
- Data science exercisesOther20%
- Business and data case studyOther40%
- QuizOther30%
- Video presentationPresentation10%
- QuizOtherThreshold hurdle10%
- Assignment 1 Coding Task 1-RAssignmentThreshold hurdle20%
- Assignment 2 Business and Data Case studyAssignmentThreshold hurdle2%
- Assignment 3 Coding Task 2-shellAssignmentThreshold hurdle10%
- Assignment 4 Business and Data Case StudyAssignmentThreshold hurdle18%
- Scheduled Final AssessmentExamThreshold hurdle40%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Analyse the role of data in organisations, including curation and management issues;
- 2
Apply basic tools for performing exploratory data analysis and visualisation;
- 3
Apply basic tools for managing and processing big data;
- 4
Apply basic predictive modeling and data analysis methods;
- 5
Determine data storage and processing requirements for a data science project;
- 6
Identify data resources and standards.
Workload and teaching
- Lectures24 hours
- Tutorials24 hours
- Workshops12 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.
Learning resources
Technology resources
Python is available in the labs and is free to download from https://www.python.org/downloads/
Where it fits
FIT5145 is part of 1 area of study in the 2021 handbook.
Contacts
- Chief Examiners
- Dr Guanliang Chen
- Unit Coordinators
- Dr Guanliang Chen
- Dr Michael Niemann
Common questions
What are the prerequisites for FIT5145?
You need FIT9131, FIT9133 or FIT9136 before you enrol. Enrolment rules also apply.
When is FIT5145 offered?
In 2021, FIT5145 runs in Summer A, Semester 1 and Semester 2 at Clayton and Monash Online.
How much work is FIT5145?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does FIT5145 have an exam?
Yes. The exam is worth 100% of the final mark, alongside 14 other tasks.
Which majors and minors include FIT5145?
FIT5145 is part of Software engineering.