Student led special topic courses which vary by semester

How does a single fertilized egg grow and divide into every cell in the body, from branching neurons to beating cardiomyocytes and everything in between? Can we harness this knowledge to better understand disease, and to produce therapeutically relevant cell types, tissues, and organs? You will explore what controls stem cell differentiation using hands-on experiments, with emphasis on methods to engineer cell fate for regenerative medicine. Prerequisite: BME 2104

This course will provide students with a quantitative framework for identifying and addressing important biological questions at the molecular, cell, and tissue levels. The course will focus on the interplay between methods and logic, with an emphasis on the themes that emerge repeatedly in quantitative experiments.

In-depth study of a biomedical engineering area by an individual student in close collaboration with a departmental faculty member. Requires advanced analysis of a specialized topic in biomedical engineering that is not covered by current offerings. Requires faculty contact time and assignments comparable to regular course offerings. Prerequisite: instructor permission.

Students learn foundational concepts about cellular behaviors and the molecular mechanisms that drive them by communicating findings that are published in peer-reviewed scientific and engineering papers. Prereqs: coursework in Biochemistry, Cell Biology, Human Physiology/Pathology/Anatomy

This course presents organ physiology and pathology as systems that can be studied, measured, and manipulated using biomedical engineering tools and approaches by reading peer-reviewed scientific and engineering papers and discussing them in class. Prereq: knowledge of Biochem, Cell Biology, Human Physiology/Pathology/Anatomy

Students learn foundational principals of advanced research, including hypothesis formulation, experimental design, and statistical methods to assess experimental data as it relates to hypothesis testing. Prerequisites: Previous exposure to statistics and programming in a language such as Python, MATLAB, or R.

Students learn how to process imperfect biomedical measurements and extract information. Students learn fundamental principles of signal and image processing and machine learning. Prerequisites: Ability to program in MATLAB or Python. Knowledge of calculus, vectors and matrices

Students learn to motivate research, design experiments, analyze/display data, present results for their own research. Receive training in professional skills, including project leadership and management, best practices for collaborative research, and developing resilience. Prereq: BME 6001-6004, or permission by instructor

Students learn principles and techniques to computationally approach biomedical research and practice. Students obtain hands-on experience using computational thinking/strategy and build computational models to describe biomedical phenomena or analyze biomedical data. Prereq: BME 6001-6004 and ability in MATLAB or Python.