CITS5013 Data Science Research Project Part 3

Credit
12 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Semester 2UWA (Perth)Face to face
Content
The Data Science Research Project consists of 24 credit 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 list of topics provided by the Department of Computer Science and Software Engineering 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: (1) project description and project progress report; (2) presentation and seminar; and (3) project final report. Further information is available in the unit outline.

Supplementary assessment is not available in this unit.
Unit Coordinator(s)
Dr Jianxin Li
Unit rules
Prerequisites:
enrolment in the Master of Data Science (62530)
and
completed CITS5011 Data Science Research Project Part 1
Co-requisites:
CITS5012 Data Science Research Project Part 2
Unit Outline
Semester 1 [SEM-1]
  • 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.
  • Books and other material wherever listed may be subject to change. Book lists relating to 'Preliminary reading', 'Recommended reading' and 'Textbooks' are, in most cases, available at the University Co-operative Bookshop (from early January) and appropriate administrative offices for students to consult. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.