A smart city is a city in which decision-making elements are fulfilled by knowledge-based automated systems. Smart cities enhance livability, workability and sustainability by leveraging methodological and technical innovations to allow those systems to work synergistically with each other and to interact more effectively with the inhabitants. However, on the other hand, they also run the risk of adverse effects of automated decision-making. In the first half of this course, through discussion-based seminars students will learn about the development of the smart city, influence of smart city infrastructure, criteria for measuring the smartness of a city, the role of data and information technology, and other related issues that go towards the making of a future smart city. The second half of this course will focus on group-based student projects that reflect on the understanding and evaluating smart city technologies, discussing: (1) approaches to designing and implementing strategic planning techniques and governance models that facilitate smart city development, including environmental scanning, stakeholder analysis, strategic issue identification, and strategy formulation; and (2) development a critical awareness and evaluation of the potential strengths and weaknesses of smart city initiatives; and translate this evaluation into suggestions for adjustment directions for these smart city projects.