Case Study: Carnegie Mellon University achieves increased student engagement and programming efficiency with MathWorks' MATLAB tutorials

Carnegie Mellon University Professors Use Online MATLAB Tutorials to Teach Computational Methods for Biomedical Engineering

Carnegie Mellon University, led by Dr. Yu-li Wang, needed to boost student engagement and rapidly build programming proficiency in a graduate course on computational biomedical engineering. To do this they turned to MathWorks, using online MATLAB tutorials and Campus‑Wide MATLAB Training along with MATLAB, Simulink and toolboxes (Image Processing; Statistics and Machine Learning) to support a flipped‑classroom approach.

MathWorks’ interactive tutorials and training let students learn MATLAB basics before class so in‑person sessions focused on biomedical applications and advanced topics, enabling a fully flipped classroom, greater active participation, and improved programming efficiency. The impact was evident in students’ more ambitious final projects (e.g., chest X‑ray, EEG, ECG classification and image analysis) and in Dr. Wang’s ability to teach higher‑level concepts rather than basic syntax.

Carnegie Mellon University

Yu-li Wang

Professor of Biomedical Engineering