IAB330 Applied Internet of Things

[object Object] {"attributes":{"DGCIF":"Available for cross institutional students - faculty approval required","STBFAC":"Science & Technology UG - Faculty Wide Units","ITBUNI":"Information Technology UG - Uni Wide Units","DGSAF":"Study Abroad / Exchange (UG) - faculty approval required","LEW3NA":"Late Enrolment - Not available for enrolment Week 3","DGNAF":"Available for Single Unit students (UG) - faculty approval required"},"study-types":["Cross-institutional study","Single-unit study"],"availabilities":[{"study-mode":"All","attendance-mode":"Internal","location":"Gardens Point","campus":"Gardens Point","study-period":"Semester 2","date-end":"2024-11-15T14:00Z","date-start":"2024-07-21T14:00Z","year":2024},{"study-mode":"All","attendance-mode":"Online","location":"Online","campus":"Gardens Point","study-period":"Semester 2","date-end":"2024-11-15T14:00Z","date-start":"2024-07-21T14:00Z","year":2024},{"study-mode":"All","attendance-mode":"Online","location":"Online","campus":"Gardens Point","study-period":"Semester 2","date-end":"2025-11-14T14:00Z","date-start":"2025-07-20T14:00Z","year":2025},{"study-mode":"All","attendance-mode":"Internal","location":"Gardens Point","campus":"Gardens Point","study-period":"Semester 2","date-end":"2025-11-14T14:00Z","date-start":"2025-07-20T14:00Z","year":2025}],"broad-study-area":{"name":"Science","foe":29999},"code":"IAB330","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":460100,"title-short":"Science","title-full":"Faculty of Science"},"school-discipline":{"code":460800,"title-short":"Information Systems","title-full":"School of Information Systems"},"unit-requisites":{"pre":"IAB230 or \nCAB201 or ITD121"},"sams-version":4,"summer":[],"synopsis":"This unit provides the theoretical knowledge and practical skills to design and develop IoT solutions for real-world applications. Through a blend of theoretical learning and hands-on experience, students will explore the fundamental concepts of IoT architecture, sensor integration, data processing, and machine learning. Students will delve into the architecture and components of IoT systems and gain practical experience with IoT hardware and software with emphasis on data collection, preprocessing, and storage techniques specific to IoT applications, as well as machine learning algorithms tailored for real-world IoT use cases. The unit emphasises practical learning experiences and culminates in the development of IoT solutions for real-world scenarios, preparing students for roles in the rapidly evolving field of IoT.","title-full":"IAB330 Applied Internet of Things","title-short":"Applied Internet of Things","url":{"current":"https://qutvirtual4.qut.edu.au/group/student/enrolment/units/unit?unitCode=IAB330&year=2025","prospective":"https://www.qut.edu.au/study/unit?unitCode=IAB330","timetable":"https://qutvirtual3.qut.edu.au/qvpublic/ttab_unit_search_p.process_teach_period_search?p_unit_cd=IAB330"},"year":2025,"years":[2024,2025]}