CITS3001 Algorithms, Agents and Artificial Intelligence

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 2UWA (Perth)Face to face
Details for undergraduate courses
  • Level 3 core unit in the Computer Science major sequence
  • Category B broadening unit for students
  • 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) understand 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; (4) research a relevant area of interest and effectively communicate the results through scientific writing and experimental analysis; and (5) operate effectively as part of a project team.
Assessment
Typically this unit is assessed in the following ways: (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
Incompatibility:
CITS4211 Artificial Intelligence, CITS3210 Algorithms
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.
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  • 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.