{"c_title":"[M2097.002500] Artificial Intelligence in Urban Planning and Design 2","c_info":"3 credits | Lecture\/Seminar | Doctoral | Dept. of Environmental Planning","c_summary":"This course is the second course in the course series on artificial intelligence (AI) in urban planning and design. It contains three main parts: advanced AI algorithms, applications of those algorithms, and issues in the AI applications. The course introduces sophisticated and powerful AI algorithms, including multi-objective optimization, deep learning, and reinforcement learning. These algorithms are exemplified in simplified planning and design cases. The course also discusses fundamental issues in AI application in planning and design, such as interpretability, accountability, transparency, and fairness, and introduces the concepts of explainable AI and interpretable machine learning (ML). The course concludes with a discussion on integrating domain knowledge and AI techniques and the future directions in this field."}