Singapore University of Technology and Design

This course introduces students to the foundations of game creation and provides an overview of different aspects of game development. Students learn C# Programming (industry standard), starting with console application, then GUI games on various platform with graphics, dialog boxes, and user control. The course includes an overview of topics including game architecture, interface design, graphics for games, audio for games, prototyping and play testing. Students implement their creative gaming ideas by using the latest gaming tools. The course requires students to take prerequisites.

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 examines how states have attempted to apply and develop surveillance technologies with ever greater accuracy, scale, and speed (as well as when and how they did not). Geographically, this course covers from South Asia to East Asia. It focuses on how colonial, national, and postcolonial governments have tried to control their subjects and foreigners within their territory, as well as how people have responded to these state initiatives. After introducing relevant theoretical frameworks, the course investigates specific technologies such as fingerprints, photographs, anthropometrics, and CCTV, examining their historical development and impact on individual lives in modern Asian societies. Students examine people’s responses to surveillance technologies in modern Asia, ranging from adherence to protest and appraise the use of surveillance in today’s Asian societies based on its historical trajectories.

This course provides research training for exchange students. Students work on a research project under the guidance of assigned faculty members. Through a full-time commitment, students improve their research skills by participating in the different phases of research, including development of research plans, proposals, data analysis, and presentation of research results. A pass/no pass grade is assigned based a progress report, self-evaluation, midterm report, presentation, and final report.

This course introduces topics relevant for understanding the modern framework for evaluating investment opportunities. It combines key elements of managerial accounting and finance, as well as modern portfolio and asset pricing theory. The course discusses how to apply the core tool of analytic finance to assess the value of company projects, including those undertaken by start‐ups, and how to analyze financial market conditions to recommend investment strategies. The course discusses topics including key accounting metrics and applying these metrics to evaluate the performance of a company; identity and interpretation techniques to value cash flows from investing in firm projects; developing equity valuation frameworks that link stock prices to firm cash flows and risk; deriving optimal allocation rules for investing in portfolios with one or two risky assets; identifying optimal portfolio allocation rules for many risky assets, such as stocks, commodities, real estate, and bonds; combining the optimal allocation rules with index models to identify the degree of diversification in an optimal portfolio; hypothesizing and deriving a linear relation between risk and expected returns; define factors that determine bond prices; and synthesizing bond pricing relations with no‐arbitrage equilibrium models of spot and forward rates.

This course introduces the broad discipline of biomedical engineering, and the fundamental life science and engineering principles associated with biomedical systems and healthcare delivery. The course focuses on three key application areas of biomedical implants, instrumentation, and diagnostics, and discusses the theoretical and practical considerations relevant to the design and development of biomedical devices, tools, and systems in these areas.