Studying online

There are now 3 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Units available in Online Restricted mode have been adapted for online study only for those students who require the unit to complete their studies and who are unable to attend campus owing to exceptional circumstances beyond their control. To be enrolled in a unit in Online Restricted mode, students should contact their Student Advising Office through askUWA

Click on an offering mode for more details.

Unit Overview


This unit reinforces key concepts from CITS2200 Data Structures and Algorithms, and extends them to consider algorithms in the context of autonomous programs, or agents. We introduce ideas such as decision making, goal-directed behaviour, heuristic search, action selection, performance (self-evaluation), expected return and learning. These concepts are explored in the context of artificial intelligence or 'intelligent agents'.

6 points
(see Timetable)
Semester 2UWA (Perth)Face to face
Details for undergraduate courses
  • Level 3 core unit in the Computer Science; International Cybersecurity; Computing and Data Science; Artificial Intelligence; Automation and Robotics Engineering major sequences
  • Level 3 elective

Students are able to (1) explain various ways in which algorithms can learn, their relationships, and their potential power and pitfalls; (2) assess the performance of algorithms and appreciate the extra requirements of algorithms operating in an autonomous context; (3) develop and implement a software agent in a suitable software engineering framework; and (4) research a relevant area of interest and effectively communicate the results through scientific writing and experimental analysis.


Indicative assessments in this unit are as follows: (1) mid-semester test; (2) group project; and (3) final examination. 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 Mehwish Nasim
Unit rules
CITS2200 Data Structures and Algorithms
Contact hours
lectures: 2 hours per week
labs: 3 hours per week
This unit will be offered in Semester 2 only from 2017 onwards.

Russell, S. J. and Norvig, P. Artificial Intelligence: a Modern Approach, 3rd edn: Prentice Hall 2009

  • 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.