English

This course deepens understanding of Singapore history through an examination of different representations of history: academic scholarship, social memory and oral history, heritage. Each section incorporates fundamental concepts and debates behind the production of history, together with the application of these ideas to specific Singapore case studies. At the end of the course, students will be able to critically analyze Singapore history as a whole in terms of historiography and heritage studies, whilst gaining familiarity with the treatment of key issues in Singapore's past.

The course is designed to expose students to different styles of qualitative and mixed methods research including, among many others, comparative case studies; process tracing and historical methods; interpretive and discursive methods; social network analyses, and natural experiments. The course uses practical sessions to help students prepare their own research design into an important and real-world question of their own choosing. Participants present their research designs in the final two weeks of the class and receive feedback from their peers.

The course is divided into three parts. The first introduces the fundamentals of positivist and interpretative qualitative methods. The next investigates case selection, mixed method, and causal inference. The third considers more specific techniques including the practical considerations involved in collecting primary materials, considering logics of historical process, and designing social experiments.

This course familiarizes students with the fundamental techniques of linear algebra so that they can eventually master the "diagonalisation" of square matrices, which is one of the most important subjects in linear algebra. Upon completion, students understand the basic notions of linear algebra, such as matrices, determinants, eigenvalues, eigenvectors and diagonalisation, projections, and others, and be able to apply these techniques in various cases.

This introductory course on intelligent robots and systems is at the intersection of machine learning, artificial intelligence, computer vision and control theory. Students learn the fundamentals of developing systems which can sense, plan and act in the world based on various topics from the domains. Emphasis is on algorithm design, probabilistic reasoning, decision making under uncertainty and learning to improve behaviors using data. The course requires students to take prerequisites. 

This course introduces biomedical instruments and their working principles. Topics include basic concepts of medical instrumentation, basic sensors and transducers, amplifiers and signal processing, and basic physiology related to each measurement.

This course examines the fundamentals of climate and climate change science, reviews the history of climate change action internationally and in Australia, and outlines the current and projected state of climate change and climate change action. It explores the impetus and options for climate change action, the intersection of climate change and sustainable global development, and why, despite the increasing urgency, international and domestic climate action is often limited.

This course introduces Kapa Haka, the Māori performing arts. It explores the origins of Kapa Haka through Māori histories and narratives. It also examines the development of Kapa Haka over time, with a focus on contemporary competition formats such as Whakataetae, as well as the fundamentals of Kapa Haka, including group singing, hand and foot coordination, and choreography, preparing learners to perform as members of a Kapa Haka group.

This course covers literature on innovation and entrepreneurship and reviews policy options for the government from a comparative perspective. Innovation and entrepreneurship have been regarded as sources of economic vitality and growth. Recent successes of Silicon Valley and Korea are good examples. Students deepen their understanding of literature in innovation and entrepreneurship; learn to understand the effects and limits of various policies adopted by different countries; and examine the changes in the global supply chain, investigating the proper adoption of the changes.

Topics include Why Science, Technology, and Innovation Matter?, Models for R&D Policy: Technology Push & Demand Pull, Systems of Innovation, Theory of Firm Innovation, : Economic Growth and Social Capital, Innovative Region and City, Strategy for Catch-up: Korean Case, Democratizing Innovation, Role of Scientists in the S&T policy making process, How Economics Shapes Science, and Open Innovation.

This course introduces key concepts and applications for the design of intelligent computer systems, or Artificial Intelligence (AI). Topics covered include heuristic search, game playing, logic, machine learning, deep learning,
natural language processing, robotics and image processing. Through interactive lectures, discussions, and assignments, students apply basic AI concepts and principles to develop modeling and analytical skills for problem-solving. Students create working programs that solve problems, reason logically, and/or improve their own performance. The class covers the history, different careers, and social/cultural impacts of AI as well. Finally, it prepares students to further explore and apply AI in research and application domains.

This course examines history of modern Korea from the late nineteenth century to the early 2000s through Korean film by analyzing selected films as historical documents on Korean history, politics, society, and culture. The course explores themes such as the open port period, colonial Korea, liberation/occupation/national division, the Korean War, the post-war development in ROK, military authoritarianism, democratization, the Sunshine Policy, globalization, and multiculturalism. Students examine both the accuracy of each film’s representation of history and the counter narratives of some historical events.