2020 unit information
Classes and seminars in Trimester 2/Semester 2, 2020 will be online. Physical distancing for coronavirus (COVID-19) will affect delivery of other learning experiences in this unit. Please check your unit sites for announcements and updates one week prior to the start of your trimester or semester.
Last updated: 2 June 2020
From 2021 - unit will be offered in Trimester 1
SIT192 and SIT112 OR SIT114
Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.
1 x 1 hour class per week, 1 x 3 hour seminar per week.
1 x 1 hour scheduled online workshop per week.
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.
These are the Learning Outcomes (ULO) for this Unit
At the completion of this Unit successful students can:
Deakin Graduate Learning Outcomes
These Unit Learning Outcomes are applicable for all teaching periods throughout the year
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
There is no prescribed text. Unit materials are provided via the unit site. This includes unit topic readings and references to further information.