Biomedical background

Applied Biomedical Engineering

Physiology, medical devices, imaging, neuroengineering, biomechanics, data science, and translational design for human health.
Medical Devices Human Performance AI in Healthcare

Physiology

Physiology and Systems Biology

Whole-body function, organ systems, and cellular biology as an engineering platform.

  • Physiology for Applied Biomedical Engineering I
  • Physiology for Applied Biomedical Engineering II
  • Molecular Biology
  • Advances in Pulmonary Therapeutics
  • Advances in Cardiovascular Medicine
  • Neuropharmacology
  • Methods in Neurobiology
  • Foundations of Computational Biology and Bioinformatics
Quantitative Foundations
  • Mathematical Methods
  • Biological Solid & Fluid Mechanics
Biomechanics

Biomechanics, Movement and Rehabilitation

Human motion, injury, assistive technology, and performance engineering.

  • Introduction to Biomechanics
  • Biomechanical Engineering in Sports
  • Orthopedic Biomechanics
  • Biological Solid and Fluid Mechanics
  • Rehabilitation Engineering
  • Rehabilitation Engineering II
  • Computational Methods in Biomedical Engineering
Medical Imaging

Medical Imaging, Sensing and Instrumentation

How we see, sense, measure, and interact with the body.

Sensors and Devices
  • Medical Sensors and Devices
  • Principles of Medical Instrumentation and Devices
  • Biochemical Sensors
  • Applied Bioelectrical Engineering
  • Projects in Medical Sensors and Devices
Imaging and Image Processing
  • Principles of Medical Imaging
  • Medical Device Innovation and Design
  • Applied Medical Image Processing
  • MR Imaging in Medicine
  • Biophotonics
  • Principles and Applications of Modern X-ray Imaging and Computed Tomography
Neural and Functional Imaging
  • Functional Neuroimaging and Neural Sensors
  • Frontiers in Neuroengineering
Computational Methods

Computational and Data-Driven Biomedical Engineering

Modeling, simulation, AI, and decision support in health.

  • Mathematical Methods
  • Computational Methods in Biomedical Engineering
  • Advanced Signal Processing for Biomedical Engineers
  • Biomedical Data Science
  • Artificial Intelligence and Machine Learning for Global Health
  • Sparse Representations in Computer Vision and Machine Learning
  • Computational Medicine: Cardiology
  • Models of the Neuron
Bioinformatics and Systems-Level Insight
  • Foundations of Computational Biology and Bioinformatics
  • Modeling Approaches to Cell and Tissue Engineering
Cell Engineering

Cell, Tissue and Regenerative Engineering

From cells to tissues to organ-level repair and regeneration.

  • Molecular Biology
  • Cell and Tissue Engineering
  • Regenerative Tissue Engineering
  • Biomaterials
  • Biomimetics in Biomedical Engineering
  • Biochemical and Cellular Engineering
  • Biomedical Applications of Glycoengineering
  • Immunoengineering
Modeling & Control of Biological Repair
  • Modeling Approaches to Cell and Tissue Engineering
Neural Engineering

Neural Engineering and Neurotechnology

Interfaces, sensing, stimulation, decoding, and repair of the nervous system.

  • Functional Neuroimaging and Neural Sensors
  • Neural Prosthetics: Science, Technology, and Applications
  • Frontiers in Neuroengineering
  • Introduction to Brain-Computer Interfaces
  • Models of the Neuron
  • Neuropharmacology
  • Methods in Neurobiology
Cardiovascular and Pulmonary

Cardiovascular, Pulmonary and Clinical Systems

Heart, lung, circulation, and physiological monitoring as engineered systems.

  • Advances in Cardiovascular Medicine
  • Advances in Pulmonary Therapeutics
  • Biological Solid and Fluid Mechanics
  • Computational Medicine: Cardiology
  • Applied Bioelectrical Engineering
  • Biomedical Engineering Practice and Innovation
Medical Devices

Regulation, Ethics and Translational Innovation

From idea to clinic: safety, compliance, IP, markets, business.

  • Regulation of Medical Devices
  • Ethics in Biomedical Engineering Research and Management
  • Medical Device Innovation and Design
  • Medical Device Marketing and Market Position Establishment
  • Biomedical Engineering Practice and Innovation
  • Bioentrepreneurship
  • Global Health Engineering
Global Health

Global Health and Health Equity Engineering

Building technologies and systems that work in the real world, not just the lab.

  • Artificial Intelligence and Machine Learning for Global Health
  • Global Health Engineering
  • Biomedical Data Science
  • Medical Device Innovation and Design
  • Medical Sensors and Devices
  • Projects in Medical Sensors and Devices