Motivating First-Year Students | Integrated Curricula with MATLAB and Simulink, Part 1
From the series: Integrated Curricula with MATLAB and Simulink
Overview
Learn to effectively teach introduction to programming and engineering classes in the freshman year by:
- teaching new concepts
- motivating and integrating students from different backgrounds
- addressing problems with industrial approaches and tools
Marcin Kopaczka presents the course "MATLAB Meets LEGO Mindstorms" that uses robots to introduce programming techniques to first year electrical engineering students at RWTH Aachen University.
At University Pierre and Marie Curie (UPMC), Dr. Mohamed Ben Chouikha introduces freshmen to research and engineering with problem-based learning techniques. Students learn about image processing with a graphical modeling approach using Simulink® and Raspberry Pi boards in their classes.
We introduce resources for your students to improve their individual learning experience and resources to support you while teaching. One example is Cody Coursework, a class assignment and code auto-grading environment, that helps you organize programming assignments for your class.
Note: Cody Coursework became MATLAB Grader in July 2018.
Presentation links
001: Quote from NSPE
101: Literature references
- Goold, E. "Professional Formation of Engineers: Enhancing First Year Student Experience", in Proceedings of SEFI Annual Conference 2015, 2015.
- Behrens, et al. "MATLAB Meets LEGO Mindstorms - A Freshman Introduction Course into Practical Engineering“, IEEE Transactions on Education, 53(2), pp. 306-317, 2010.
- C. Mohtadi, et al. "Why integrate computational thinking into a 21st century engineering curriculum?", in Proceedings of SEFI Annual Conference 2013, 2013.
- Bedjaoui, N. et al. "Integrating engineering workflow at early stages of higher education the French example," Global Engineering Education Conference (EDUCON), 2015 IEEE, 2015.
- Fishman, J. “Robots to the rescue,” Chronicle of Higher Education, 2007.
103: RWTH NXT Toolbox
104: Academia website
105: Tutorials
106: MATLAB Examples
107: Simulink Examples
108: MATLAB Central
109: File Exchange
110: MATLAB Answers
111: Raspberry Pi Support package
112: Documentation
113: MATLAB Courseware
114: Hardware Support
115: Cody Coursework
Published: 22 Dec 2015
