CITS3001 Algorithms, Agents and Artificial Intelligence

6 points
(see Timetable)
Semester 2UWA (Perth)Face to face
Details for undergraduate courses
  • Level 3 core unit in the Computer Science major sequence
  • The area of knowledge for this unit is Mathematical and Physical Sciences
  • Category B broadening unit for students
  • Level 3 elective
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'.
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.

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 Tim French
Unit rules
CITS2200 Data Structures and Algorithms
CITS4211 Artificial Intelligence, CITS3210 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.
  • 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.