CITS5011 Data Science Research Project Part 1

Credit
6 points
Offering

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.

AvailabilityLocationMode
Not available in 2021UWA (Perth)Face to face Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online.
Content
The Data Science Research Project consists of 24 credits points and comprises CITS5011, CITS5012 and CITS5013 that are taken over two consecutive semesters and must be completed to fulfill the requirements of the Data Science Research Project. Students can commence the units in either semester 1 or semester 2.

CITS5011 is Part 1 of the Master of Data Science Research Project and consists the completion of a Research Project Description and a Research Project Progress Report. After completing CITS5011 (Part 1), students are able to continue their assessment by enrolling and completing CITS5012 (Part 2) and CITS5013 (Part 3) in their second semester of the project and includes the completion of a Final Project Report and a Presentation and Seminar.

The research project topic may be chosen from a provided Department list or on a proposed topic relevant to Data Science and negotiated with the Project Supervisor. Students are expected to conduct qualitative research work or solve important data science research problems with certain research challenges.
Outcomes
Students are able to (1) gain experience in research methodologies and learn how to plan and execute a research investigation; (2) develop skills in problem formulation, in designing and analysing solutions and experiments, and in the presentation of research findings; (3) develop academic writing and presentation skills; and (4) gain knowledge and an in-depth understanding about the scope of data science..
Assessment
Indicative assessments in this unit are as follows: assessment continues into CITS5012 and CITS5013. Further information is available in the unit outline.

Supplementary assessment is not available in this unit.
Unit Coordinator(s)
Dr Wei Liu
Unit rules
Prerequisites:
enrolment in the Master of Data Science (62530) and 24 points of Level 4/Level 5 units completed within the course with the equivalent of a UWA weighted average mark (WAM) of at least 70 percent.
Incompatibility:
CITS5014 Data Science Research Project Part 1 and CITS7201/CITS7202 Computer Science and Software Engineering Research Project Part 1/Part 2
  • 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.