Studying online (if an online offering is shown below)
There are now 2 possible online modes for units:
Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.
Click on an offering mode for more details.
Unit Overview
- Description
This unit answers an urgent call to harness the unprecedented amount of data now generated from every facet of our daily
life by introducing data science as the discipline dealing with collecting, representing, manipulating and visualising data in
contemporary society. Students taking the unit learn to write computer programs to extract, transform and integrate data
from multiple heterogeneous sources, including traditional relational databases and web-based resources. Different data
representation formats such as XML, JSON and HDF5, as well as storage options including SQL and NOSQL type of
databases, are introduced and compared. Another core objective is the development of programming skills to enable
effective and meaningful visualisation of the data. Students are given the opportunity to put the learned knowledge
in data acquisition, data processing, data representation and exploratory visualisation into practice through projects that are
highly relevant to real-world data analytics. The unit provides the fundamental knowledge, introduces the essential
processes for exploratory data analysis and builds the specific critical programming skills required during the journey of growing a student into a capable data scientist.
- Credit
- 6 points
- Offering
(see Timetable) Availability Location Mode Semester 2 UWA (Perth) Face to face - Outcomes
Students are able to (1) write programs to systematically collect, process and integrate data of different types and from different sources.; (2) select appropriate data visualisation options; (3) demonstrate programming abilities to build solutions for exploratory data analysis using visualisation and clustering techniques; (4) critically assess the outcomes of a data analysis; and (5) communicate effectively with stakeholders.
- Assessment
Indicative assessments in this unit are as follows: (1) mid-term quiz; (2) project; and (3) final exam. Further information is available in the unit outline.
Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.
- Unit Coordinator(s)
- Dr Ghulam Mubashar Hassan
- Unit rules
- Prerequisites
- Enrolment in62510 Master of Information Technology
or 62530 Master of Data Science
or 62560 Master of Renewable and Future Energy
or 62550 Master of Professional Engineering (SP-ECHEM Chemical Engineering specialisation
or SP-EMINI Mining Engineering specialisation
or the SP-ESOFT Software Engineering specialisation)
or 72530 Master of Environmental Science (SP-SSDSC Sensing and Spatial Data Science specialisation)
or
Enrolment inBachelor of Engineering (Honours) or an associated Combined Degreeand Successful completion of96 points
- Contact hours
- lectures: 2 hours per week
labs: 2 hours per week - Texts
To be advised by the School of Computer Science and Software Engineering.
- The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
- All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
- Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
- Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.
Face to face
Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online.
Online flexible
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit is asynchronous delivery, with NO requirement for students to participate online at specific times.
Online timetabled
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit includes some synchronous components, with a requirement for students to participate online at specific times.
Online Restricted
Not available for self-enrolment. Students access this mode by contacting their student office through AskUWA. 100% Online Unit.
NO campus face-to-face attendance. All study and assessment requirements are online only. Unit includes some timetabled activities, with a requirement for students to participate online at specific times. In exceptional cases (noted in the Handbook) students may be required to participate in face-to-face laboratory classes when a return to UWA’s Crawley campus becomes possible in order to be awarded a final grade.
External
No attendance or regular contact is required, and all study requirements are completed either via correspondence and/or online submission.
Off-campus
Regular attendance is not required, but student attends the institution face to face on an agreed schedule for purposes of supervision and/or instruction.
Multi-mode
Multiple modes of delivery. Unit includes a mix of online and on-campus study requirements. On campus attendance for some activities is required to complete this unit.