CITS3200 Professional Computing

6 points
(see Timetable)
Semester 2UWA (Perth)Face to face
Details for undergraduate courses
  • Level 3 core unit in the Computer Science; Data Science major sequences
  • Level 3 core unit in the Software Engineering specialisation in the Engineering Science major sequence
  • The area of knowledge for this unit is Mathematical and Physical Sciences
  • Category B broadening unit for students
  • Level 3 elective
Unlike other computing units you will have taken, which are about different aspects of computer or data science, CITS3200 Professional Computing is deliberately outward facing - to your future role in industry. For example, the unit teaches an appreciation of the ethical and social implications of computing projects, and aspects of project management, in the context of a large-scale computing projects. The bulk of the unit is then taken up with a large group project involving five or six students per group. The project will give you the opportunity to practice various project management techniques and communication skills, and to try different roles in a computing project team.
Students are able to (1) apply computer systems knowledge and skills in project situations; (2) use agile methodology in software development; (3) solve problems in computer systems and software development; (4) justify the professional responsibility to produce reliable software; (5) assess the social impacts of computing projects; and (6) perform effectively as part of a multidisciplinary and multicultural team.
Indicative assessments in this unit are as follows: (1) project and (2) professional development portfolio. 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)
Associate Professor Michael Wise
Unit rules
completion of 12 points from: CITS1401 Computational Thinking with Python; CITS2002 Systems Programming; CITS2200 Data Structures and Algorithms; CITS2401 Computer Analysis and Visualisation
CITS2402 Introduction to Data Science
Contact hours
74 (lectures: 10 hours; project mentor sessions: 4 hours; project: 60 hours)
  • 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 via the Booktopia Textbook Finder, which has the functionality to search by course code, course, ISBN and title, and may also be posted or available at the appropriate school's administrative offices. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.