Singapore

This course provides students with an introductory overview of health systems and policies that can shape an individual’s and the population’s wellbeing. The course uses Singapore’s healthcare system as a case study to explain the organization of health systems and the policy responses to public health challenges.

This course is offered through the Undergraduate Research Opportunities Program in Science (UROPS). The intent of UROPS is to formally involve undergraduate students in research activities under the supervision of faculty members in their respective fields of study. UROPS aims to enhance undergraduate students’ knowledge of, and acquire the skills required for, the intellectual process of inquiry. 

This course examines the ways in which language is being (re)formulated on the Web, especially in multilingual settings. The course focuses on the study and management of electronic language evidence on the Web. The course requires students to take prerequisites.

This is an interdisciplinary course that explores the principles of communication in Design and Engineering. Students learn how they can draw on visual and verbal resources to clearly articulate the valued knowledge in their disciplines to both specialist and non-specialist audiences. Students study a range of narratives around multimodal artifacts such as posters, renderings, drawings, models and exhibits from these disciplines and become familiar with the ways to engage, inform, critique and persuade different audiences and communicate their designs effectively.

This course covers how a project manager leads the project team. Major topics include theories of leadership; traits of project leaders; and leadership competencies such as visioning, strategizing, team building, decision-making, empowering, influencing, planning, and communicating.

This course develops basic skills in conducting and evaluating marketing research projects for students pursuing a career in marketing research and rely on marketing research information for decision making. The main focus is on problem formulation, research design, methods of data collection, and data analysis.

This course covers American historical and cultural developments from European colonization to the end of the 20th century. It studies both the internal developments in the United States and its growing importance in international politics. It offers a range of social, economic, and political perspectives on the American experience and develops students' understanding of the dominance of the United States in contemporary world history and culture. 

The course introduces computational thinking as applied to problems in science, with special emphasis on their implementation with Python/Python Notebook. A selection of examples illustrate (a) fundamentals of algorithm design in computer programming (b) solution interpretation, as well as (c) analysis of the computational solutions and data visualization using state-of-the-art tools in Python. These cover different types of approaches typically used in scientific computational thinking, including deterministic, probabilistic and approximation methods. The course highlights scientific computational issues such as accuracy and convergence of numerical results.

This course explores topics at the intersection of philosophy of mind and language, such as whether thought depends on talk or vice versa, whether we think in words or images, whether those words are words of English or a sui generis mental language just for thinking, whether animals which can't talk can think and whether the mind is like a computer. These questions are central to contemporary philosophy and language and are also an important case study in the relationship between the methods of analysis, experiment and introspection in philosophical psychology. The course requires students to take prerequisites.

This course takes an interdisciplinary approach to introduce how complex biological phenomena can emerge from simple rules. Through interactive lectures, guided reading and hands-on tutorials and simulations, students learn to appreciate how basic concepts like feedback and robustness generate biodiversity across multiples scales. The course requires a prerequisite of General Biology.