This unit covers the history of artificial intelligence and the foundational concepts of intelligent agents. It delves into problem-solving and search techniques, including problem representation, heuristic search, and adversarial search. You will learn about knowledge representation and reasoning, focusing on propositional and first-order logic for AI applications, as well as planning. The unit also explores reasoning under uncertainty through Bayesian Networks and Markov Decision Processes. In the realm of machine learning, the unit includes reinforcement learning techniques, supervised learning such as decision trees, Naive Bayes, neural networks, and self-supervised learning approaches. Additionally, the unit addresses various AI applications and examines ethical considerations in AI
Applied sessions start from Week 2. Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
Explain, apply and evaluate the goals of AI and the main paradigms for achieving them including logical inference, search, machine learning and Bayesian inference;
Describe, analyse, apply and evaluate heuristic AI for problem solving;
Explain the and understand the practical and ethical implications of Artificial Intelligence in real world contexts.
Describe the historical and conceptual development of AI
Describe, analyse, apply and evaluate machine learning techniques;
Describe, analyse and apply probabilistic inference mechanisms for reasoning under uncertainty;
Describe, analyse and apply basic knowledge representation and reasoning mechanisms;
Company
About UsMetaverse ClassroomNews & BlogJR CareersBecome a MentorOur MentorsContact UsJR Store J3.ClubResources
Job ReferralsEvents1-on-1 TutoringIndustry WhitepapersOnline LearningInterview CenterShare Interview ExperienceInternshipMembershipImmigration Services
Australia ImmigrationSkilled Visa 189/190/491Employer Sponsored 482/186/494Business Visa 188/888UK ImmigrationUS ImmigrationCanada ImmigrationEnterprise
P3 Career IncubatorEnterprise (EN)Corporate TrainingInternship PartnershipRecruitment PartnershipApply for PartnershipTop Categories
Web Full-Stack BootcampDevOps BootcampData Engineering BootcampData Analysis BootcampCoding for BeginnersBusiness Analyst InternshipAlgorithm BootcampCareer Services
BA & PM InternshipData Science InternshipData Analysis InternshipMarketing InternshipResume ReviewInterview CoachingVIP Mentor GuidanceAddresses
Level 10b, 144 Edward Street, Brisbane CBD(Headquarter)Level 2, 171 La Trobe St, Melbourne VIC 3000四川省成都市武侯区桂溪街道天府大道中段500号D5东方希望天祥广场B座45A13号Business Hub, 155 Waymouth St, Adelaide SA 5000Disclaimer
JR Academy acknowledges Traditional Owners of Country throughout Australia and recognises the continuing connection to lands, waters and communities. We pay our respect to Aboriginal and Torres Strait Islander cultures; and to Elders past and present. Aboriginal and Torres Strait Islander peoples should be aware that this website may contain images or names of people who have since passed away.
All content on the JR Academy website, including course materials, logos, and information provided, is protected under Australian intellectual property laws. Unauthorized use, sale, distribution, reproduction, or modification is strictly prohibited. Violations may result in legal action. By accessing our website, you agree to respect our intellectual property. JR Academy Pty Ltd reserves all rights, including patents, trademarks, and copyrights. Any infringement will be subject to legal prosecution. View Terms of Service
© 2017-2026 JR Academy Pty Ltd. All rights reserved.
ABN 26621887572
