Studying online

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Click on an offering mode for more details.

CITS3001 Algorithms, Agents and Artificial Intelligence

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 2UWA (Perth)Face to face
Semester 2OnlineOnline timetabled
Details for undergraduate courses
  • Level 3 core unit in the Computer Science; International Cybersecurity; Computing and Data Science; Artificial Intelligence major sequences
  • Level 3 elective
Content
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'.
Outcomes
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.
Assessment
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
Prerequisites:
CITS2200 Data Structures and Algorithms
Co-requisites:
Nil.
Incompatibility:
Nil
Contact hours
lectures: 2 hours per week; labs: 3 hours per week
Note
This unit will be offered in Semester 2 only from 2017 onwards.
Text

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.