CITS4009 Computational Data Analysis
- Credit
- 6 points
- Offering
(see Timetable) If this unit does not have an online alternative, then students who are presently unable to enter Western Australia and whose studies would be delayed by an inability to complete this unit, should contact the unit coordinator (details given on this page) to ascertain, on an individual case-by-case basis, if alternate arrangements can be made to support their study in this unit.
Availability Location Mode Semester 2 UWA (Perth) Face to face Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online. Semester 2 UWA (Perth) 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. - Content
- 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. - 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-semester test; (2) projects; and (3) examination. Further information is available in the unit outline.
Supplementary assessment is not available in this unit except in the case of a bachelor's pass degree student who has obtained a mark of 45 to 49 overall and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course. - Unit Coordinator(s)
- Dr Du Huynh
- Unit rules
- Prerequisites:
- enrolment in the Master of Data Science or Master of Information Technology or Master of Professional Engineering (Chemical Engineering specialsiation or Mining Engineering specialisation or Software Engineering specialisation) or Master of Renewable and Future Energy
- 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.
- Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.