Faculty of Information Technology

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This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

Monash University

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.


Information Technology



  • First semester 2016 (Day)


This unit introduces topics in Artificial Intelligence (AI) suited to real-time simulation and computer games development. Using a practice-based and programming-led approach, the unit explores a number of fundamental concepts, techniques and algorithms that can be used to build real-time, interactive games, virtual environments and simulations. Starting with basic concepts in 2D discrete simulation, the unit progresses to continuous, 3D models, agent simulation, bio-inspired intelligence models and search algorithms. Programs are developed using the Processing and Cinder environments in Java and C++.


At the completion of this unit, students should be able to:

  1. select, evaluate and apply AI software techniques to model simple intelligent behaviour in 2D discrete simulations and games;
  2. select, evaluate and apply AI software techniques to model simple intelligent behaviour in 3D continuous simulations and games;
  3. apply evolutionary algorithms to devise novel agents and understand their application, and that of other search algorithms, to problems requiring the search of a solution space;
  4. apply methods of embodied intelligence and physicality to the development of intelligent behaviour in physical artefacts;
  5. apply -- through practice-based learning -- design, development, execution and validation of real-time interactive software using AI techniques;
  6. design, develop and debug applications using the Processing and Cinder coding environments.


Examination (2 hours): 40%; In-semester assessment: 60%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Four hours of studio-based learning

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

This unit applies to the following area(s) of study


Additional information on this unit is available from the faculty at: