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Project-Based Learning

Hopkins BME offers a variety of project-based courses for undergraduate and graduate students. Under the guidance of our faculty experts, students work in teams to solve health-related challenges associated with their focus area, using data science, instrumentation, machine learning, and healthcare design approaches.

Precision Care Medicine

Students apply machine learning and mechanistic and statistical modeling to develop data-driven solutions to healthcare problems that arise in anesthesiology and critical care medicine, including determining when patients should be admitted to or discharged from intensive care units, predicting changes in the state of patient health, and selecting optimal patient therapies. Teams work with faculty from the Johns Hopkins Institute for Computational Medicine and the departments of Anesthesiology & Critical Care Medicine, Neurology, and Psychiatry & Behavioral Sciences to design, validate, and deploy applications that deliver computational methods to address underlying healthcare problems.

Advanced Design

This course is the follow-up to our undergraduate Design Team course sequence. It provides project-specific mentorship and guidance for a team of students to complete a sophisticated prototype and demonstrate technical feasibility towards impacting a clinical problem. Allowing projects to continue as part of the curriculum beyond the first year of Design Team provides support for more advanced testing, de-risking, funding applications, and translation.

Biomedical Data Design

In this year-long course, students work in teams to design, develop, and deploy a functional tool for the brain science community that can accelerate research or augment clinical practice. As they develop their tools, teams will perform feasibility studies, evaluate their product’s significance, develop a plan with specific deliverables and milestones, and iterate their designs based on regular feedback.

Honors Instrumentation

In this continuation of our Principles of Design of BME Instrumentation course, students develop a patent application and carry out a hands-on individual or team-based project. Previous projects include design of vision aids for individuals with blindness, a sleep detection and alert device, a glucose sensor and regulator, a temperature controller, a blood alcohol detector, eye movement detector and device controller, an EEG amplifier, a lie detector, and many more.

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