Singapore University of Technology and Design

This course introduces fundamental concepts for designing and implementing large‐scale distributed systems. The course not only focuses on the design aspects of distributed systems, but also on the fundamental principles to ensure the correctness in a distributed environment. Students apply the concepts via hands on assignments using GO programming language. The course also examines specific concepts of distributed systems e.g. designing distributed file systems (such as in Google File Systems) to accommodate arbitrarily many application‐level users. Finally, it discusses concepts on recovering from faults (both normal and byzantine) in a distributed system.

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 nurtures student startups based on their hands-on user-centered design projects. The course proceeds like a 3.5-month pre-seed accelerator for experiential learning with an academic and theoretical foundation drawn from social-technical system design theories and principles. The practical venture building projects are aided with lectures, sprint workshops, panel discussions and weekly readings. Entrepreneurial students learn underlying factors and forces for decisions in the entrepreneurship process and the principles for designing products, processes and people organizations under extreme uncertainty and resource constraints. The course is supported by a large international network of 150+ entrepreneurs, venture capitalists, design and manufacturing experts around the world.

The course covers a broad range of optimization algorithms and models. Topics include linear programming, simplex algorithm, duality, sensitivity analysis, two player zero-sum games, network optimization, minimum cost flow, network simplex algorithm, integer programming, branch and bound methods, cutting plane methods, and dynamic programming.

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.