This course teaches how to `get things done' in a bioengineering laboratory where the interdisciplinary nature of the field creates barriers due to lack of awareness of what is possible. The project-based course empowers students to build custom experimental infrastructure, run fundamental `wet' bioengineering experiments, and analyze data. Key approaches covered in the course include: rapid prototyping; tissue culture and engineering; microscopy; functional image analysis; and core approaches in synthetic biology and genetic engineering.

This course provides a foundational exposure to contemporary research topics in Bioengineering, as well as lectures and panel discussions on strategies for success in the PhD program. The latter include strategies for time-management, selecting interesting research problems to focus on, as well as effective communications with the advisor, how to get the most out of rotations, how to write papers and give talks, and navigating collaborations.

This course provides an introduction to computational chemistry and molecular simulation, which are essential components of modern science and engineering, as they offer both mechanistic insights into observed phenomena and predictions of thermodynamic and kinetic properties. Through the pedagogical treatment of essential background, basic algorithmic implementation, and applications, students will develop the knowledge necessary to follow, appreciate, and devise computational 'experiments'. Topics of emphasis include an introduction to statistical mechanics, Monte Carlo sampling, molecular dynamics, and quantum chemical solution methods.

An introductory multidisciplinary course for undergraduate and first-year graduate engineering students, covering fundamental principles, applications, and new advances in biosensing and diagnostics. Topics include biomarkers (small molecules, proteins, nucleic-acids, and cells), detection methods (electrochemical assay, colorimetric assay, immunoassay, nucleic acid hybridization assay, PCR, pure physical detection), signal generation, assay enhancement, assay characterization/validation, molecular binding theory, small molecule detection (hapten), competitive assays, self-flow assays, diagnostics, FDA 510(k), microfluidics, microarrays, etc.