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.

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, entrepreneurship, specific advanced design topics, business plan development, venture funding, and medical product testing methods. Prerequisite: Instructor Permission

A professional development course for biomedical engineering graduate students.

In a team, develop, prototype, and conduct verification and validation tests on engineering solutions to clinical challenges, demonstrating concept viability. Formal Design Control, Life Cycle, Risk Analysis, Project Management and Intellectual Property Strategies are introduced. Using Product Development Protocols, prepare a regulatory and implementation pathway analysis for commercialization into clinical practice. Prerequisite: BME 6550 Special Topics: Clinical Technology Continuum of Care

Focuses on the study of forces (and their effects) that act on the musculoskeletal structures of the human body. Based on the foundations of functional anatomy and engineering mechanics (rigid body and deformable approaches); students are exposed to clinical problems in orthopedics and rehabilitation. Cross-listed as AM 6280. Prerequisite: BME 6103.

Introduces techniques for constructing mathematical and computational models of biological processes at many levels of organizational scale from genome to whole-tissue. Topics include choice of techniques, quantitative characterization of biological properties, assumptions and model simplification, parameter estimation and sensitivity analysis, model verification and validation and integration of computational modeling w/experimental approaches.Prerequisites: BME 6101, and BME 2104 or BME 7806 (or equivalent).