Engineering education involves a fine balance between teaching theory and imparting practical problem-solving skills. Educators are also challenged to provide real-world examples that enable students to appreciate how the theory being taught in class can be applied in industry. The use of Simulink models in class and throughout a course exposes students to a tool that is widely used in industry to design and model complex systems. At the same time, large-scale models can be used to illustrate how theoretical concepts relate to the bigger picture and how they can be applied to solve real-world problems.
In this webinar, we provide practical methods for incorporating Simulink in the classroom to enhance teaching of technical concepts. We investigate how signal processing and control systems models can help to bridge the gap between theory and application, thus providing extra motivation for students. We also discuss how using interactive models in class can help to address the different learning styles of students, allowing them to learn more actively. Finally, we review resources that help you incorporate Simulink throughout a course.
About the Presenter: Tzuliang Loh is a training engineer at MathWorks who focuses on developing and delivering training solutions for academic users. He has played a key role in developing a series of interactive video tutorials that teach students how to use MATLAB and Simulink. Tzuliang has a B.S.E. in mechanical engineering from the University of Michigan. He also has an M.S. in mechanical engineering from MIT, where he designed, fabricated, and characterized BioMEMS and microfluidic devices. His research included implementing live image processing for thermal characterization of a MEMS device in MATLAB.
