CAB320 Artificial Intelligence

[object Object] {"attributes":{"DGCIF":"Available for cross institutional students - faculty approval required","ITBUNI":"Information Technology UG - Uni Wide Units","DGSAF":"Study Abroad / Exchange (UG) - faculty approval required","LEW4NA":"Late Enrolment - Not available for enrolment Week4","DGNAF":"Available for Single Unit students (UG) - faculty approval required"},"study-types":["Cross-institutional study","Single-unit study"],"availabilities":[{"study-mode":"All","attendance-mode":"Online","location":"Online","campus":"Gardens Point","study-period":"Semester 1","date-end":"2024-06-21T14:00Z","date-start":"2024-02-25T14:00Z","year":2024},{"study-mode":"All","attendance-mode":"Internal","location":"Gardens Point","campus":"Gardens Point","study-period":"Semester 1","date-end":"2024-06-21T14:00Z","date-start":"2024-02-25T14:00Z","year":2024},{"study-mode":"All","attendance-mode":"Internal","location":"Gardens Point","campus":"Gardens Point","study-period":"Semester 1","date-end":"2025-06-20T14:00Z","date-start":"2025-02-23T14:00Z","year":2025},{"study-mode":"All","attendance-mode":"Online","location":"Online","campus":"Gardens Point","study-period":"Semester 1","date-end":"2025-06-20T14:00Z","date-start":"2025-02-23T14:00Z","year":2025}],"broad-study-area":{"name":"Engineering","foe":20119},"code":"CAB320","credit-points":12,"fees":[{"csp":"$1,118","dom":"$4,104","int":"$4,788","year":2024},{"csp":"$1,164","dom":"$4,356","int":"$5,172","year":2025}],"faculty":{"code":470100,"title-short":"Faculty of Engineeri","title-full":"Faculty of Engineering"},"school-discipline":{"code":470500,"title-short":"Elec Eng & Robotics","title-full":"School of Electrical Engineering and Robotics"},"unit-requisites":{"pre":"(INB270 or \nCAB201 or ITD121 or \nCAB202) and (MZB151 or ENB246 or MZB126 or EGD126 or \nMZB127 or \nMXB103 or \nMXB100)"},"sams-version":2,"summer":[],"synopsis":"This foundational unit introduces the basics of Artificial Intelligence (AI) ranging from Intelligent Search techniques to Machine Learning. AI strives to build intelligent entities as well as understand them. AI has produced many significant products; from AI chess champions to state-of-the-art schedulers and planners. This unit introduces state representations, techniques and architectures used to build intelligent systems. It covers topics such as heuristic search, machine learning (including deep learning) and probabilistic reasoning. The ability to formalise a given problem in the language/framework of relevant AI methods (for example a search problem, a planning problem or a classification problem) and understand a fast evolving field is a requirement for a range of graduate entry engineer positions. This unit lays the foundations for further studies in Robotics, Pattern Recognition, Computer Vision, Information Retrieval, Data Mining or Intelligent Web Agents.","title-full":"CAB320 Artificial Intelligence","title-short":"Artificial Intelligence","url":{"current":"https://qutvirtual4.qut.edu.au/group/student/enrolment/units/unit?unitCode=CAB320&year=2025","prospective":"https://www.qut.edu.au/study/unit?unitCode=CAB320","timetable":"https://qutvirtual3.qut.edu.au/qvpublic/ttab_unit_search_p.process_teach_period_search?p_unit_cd=CAB320"},"year":2025,"years":[2024,2025]}