Handbook

Artificial intelligence (AI) and machine learning provide organisations with opportunities to analyse data into actionable insights to address business problems and make better data-driven decisions. In response to the growing need for AI-related skills in organisations, INFS3822 course is designed to equip students with the necessary knowledge and competencies in … For more content click the Read More button below. This course adopts an active learning and Problem-Based Learning (PBL) approach, and places students' learning experience at the forefront. Through extensive hands-on experience using state-of-the-art AI techniques (e.g., natural language processing, pattern recognition and machine learning algorithms) to analyse structured and unstructured data in business contexts, this course engages students in extensive hands-on exercises on AI-driven analytics to address real-world business problems.    Building on the foundational knowledge acquired in COMM1190, or INFS2822, students will consolidate their learning, and critical thinking on how to apply AI and ML techniques using a variety of software such as R, Python, and SAS Viya for automated ML, to conduct analytics applied to real world business problems.   On successful completion of this course, students will acquire highly demanded skillsets in AI-driven analytics, equipping them to address challenges and solve complex business problems when they enter the workplace.