Engineering

The course is designed to prepare students for leadership in a globally interdependent and culturally diverse workforce. Throughout the course, students are challenged to question, think, and respond thoughtfully to the issues they observe and encounter in the internship setting, and the designated city in general. Students have the opportunity to cultivate the leadership skills as defined by the National Association of Colleges and Employers (NACE), such as critical thinking, teamwork, and diversity. Assignments focus on building a portfolio that highlights those competencies and their application to workplace skills. The hybrid nature of the course allows students to develop their skills in a self-paced environment with face-to-face meetings and check-ins to frame their intercultural internship experience. Students complete 45 hours of in-person and asynchronous online learning activities and 225-300 hours at their internship placement.

The six-week summer lab research program at National Taiwan University places students in various science, engineering and social science research labs and/or projects under the supervision of faculty. Students spend approximately 30 hours per week in lab activities.

This course discusses theoretical and methodological knowledge of continuous and discrete-time signals and linear and time-invariant (LTI) systems in the frequency domain. . 

The course discusses the drivers of energy services; the scope and challenges associated with satisfying the rising energy demand; the key concepts in the science of energy and potential technological supply options; the trade-offs in energy policy aiming to provide secure, affordable, and environmentally benign energy carriers; and the important role of analytical tools for shaping energy policy.

This course examines the concept of renewable energy and development of sustainable energy resources. It introduces the principles, features, and applications of various renewable energy resources.
 

This course develops key mathematical and computational skills relevant to the wider mechanical engineering program. Topics include vector algebra, real analysis, limits, curve sketching, series, applications of integration, complex analysis, functions of more than one variable, matrix algebra, second order ordinary differential equations, and vector calculus. Practical implementation through programming is studied to solve problems selected from the topic areas.