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 …
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 …
A project-based grounding in biomedical product design, with emphasis on clinical immersion and topics including design fundamentals, problem/needs identification, delineation of realistic constraints and product specifications, intellectual property, market analysis, …
A professional development course for biomedical engineering graduate students.
Applies engineering science, design methods, and system analysis to developing areas and current problems in biomedical engineering. Topics vary by semester.
Provides biomedical engineers with a grounding in molecular biology and a working knowledge of recombinant DNA technology, thus establishing a basis for the evaluation and application of genetic engineering in …
For master's students.
FOR GRAD STUDENTS ONLY. A research project in biomedical engineering conducted in consultation with a faculty advisor. Includes the design, execution, and analysis of experimental laboratory work and computational or …
Master's Research
Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.