SIT215 - Artificial and Computational Intelligence

Year:

2021 unit information

Enrolment modes: Trimester 1: Burwood (Melbourne), Cloud (online)
Credit point(s): 1
EFTSL value: 0.125
Prerequisite:

SIT192 and SIT112 OR SIT114

Corequisite: SIT221
Incompatible with:

Nil

Study commitment

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus

1 x 1 hour class per week, 1 x 3 hour seminar per week.

Scheduled learning activities - cloud (online)

1 x 1 hour scheduled online workshop per week.

Content

The development of intelligent systems has been a central quest of computer scientists for more than fifty years, with the objective of creating artificial systems that can solve problems traditionally achievable only by humans. This field is underpinned by a range of computational patterns and methods that cover problems such as searching, problem solving, reasoning, knowledge representation and learning. In this unit students will investigate, through a range of problem-based learning activities, a range of artificial and computational intelligence techniques that underpin modern, advanced intelligent systems such as autonomous vehicles, robotics, game-playing agents, and expert systems.