Description

Artificial Intelligence (Artificial Intelligence) aims to augment or substitute human intelligence in solving complex real world decision making problems. This is a breadth course that will equip students with core concepts and practical know-how to build basic AI applications that impact business and society. Specifically, we will cover search (e.g., to schedule meetings between different people with different preferences), probabilistic graphical models (e.g. to build an AI bot that evaluates whether credit card fraud has happened based on transactions), planning and learning under uncertainty (e.g., to build AI systems that guide doctors in recommending medicines for patients or taxi drivers to “right\" places at the “right\" times to earn more revenue), multi-agent systems (e.g., to build next generation patrolling systems for critical infrastructure security), image processing (e.g. to build systems that track and/or recognize suspicious people) and natural language processing (e.g., to build chat bots that can automatically and intelligently interact with customers in different service industries).

Learning Outcomes

Graduate Learning Outcomes

Disciplinary Knowledge, Critical thinking & problem solving, Collaboration and leadership, Communication, Self-directed learning

Competencies

Data Analytics, Combinatorial Decision-making, Computer Vision Technology, Intelligent Reasoning, Text Analytics and Processing