Introduction to programming and computational analysis in bioengineering using MATLAB. Emphasizes modeling of biological systems, biomedical data analysis, and engineering problem-solving. Includes an introduction to machine learning with applications such as biomedical signal classification and pattern recognition.

Provides an introduction to structured programming, computational methods, and data analysis techniques with the goal of building a foundation allowing students to confidently address problems in research and industry. Fundamentals of programming, algorithms, and simulation are covered from a general computer science perspective, while the applied data analysis and visualization portion makes use of the Python SciPy stack.

An immersion experience in the clinical settings in which biomedical engineering strategies, technologies, and practices are applied. An emphasis will be placed on both clinical problems and engineering solutions.