BIOE 103: Systems Physiology and Design
Physiology of intact human tissues, organs, and organ systems in health and disease, and bioengineering tools used (or needed) to probe and model these physiological systems. Topics: Clinical physiology, network physiology and system design/plasticity, diseases and interventions (major syndromes, simulation, and treatment, instrumentation for intervention, stimulation, diagnosis, and prevention), and new technologies including tissue engineering and optogenetics. Discussions of pathology of these systems in a clinical-case based format, with a view towards identifying unmet clinical needs. Learning computational skills that not only enable simulation of these systems but also apply more broadly to biomedical data analysis. Prerequisites:
CME 102 OR
MATH 53;
PHYSICS 41;
BIO 82 OR 83;
BIO 84.
CS 106A or programming experience highly recommended. Students should enroll in both the Tue./Thu. class Section 01 and the Fri. computational Section 02.
Terms: Spr
| Units: 4
| UG Reqs: WAY-SMA, WAY-AQR
Instructors:
Deisseroth, K. (PI)
;
Engel, A. (PI)
;
Fischbach, M. (PI)
...
more instructors for BIOE 103 »
Instructors:
Deisseroth, K. (PI)
;
Engel, A. (PI)
;
Fischbach, M. (PI)
;
Armelin, V. (TA)
;
Marshall, K. (TA)
;
Sheng, K. (TA)
;
Sheth, M. (TA)
;
Velazhahan, V. (TA)
BIOE 103B: Systems Physiology and Design
ONLINE Offering of
BIOE 103. This pilot class,
BIOE103B, is an entirely online offering with the same content, learning goals, and prerequisites as
BIOE 103. The class is open to BioE-declared students who are not on campus in the spring. Students attend class by watching videos and completing assignments remotely. Physiology of intact human tissues, organs, and organ systems in health and disease, and bioengineering tools used (or needed) to probe and model these physiological systems. Topics: Clinical physiology, network physiology and system design/plasticity, diseases and interventions (major syndromes, simulation, and treatment, instrumentation for intervention, stimulation, diagnosis, and prevention), and new technologies including tissue engineering and optogenetics. Discussions of pathology of these systems in a clinical case-based format, with a view towards identifying unmet clinical needs. Learning computational skills that not only enable simulation of these systems but also apply more broadly to biomedical data analysis. Prerequisites:
CME 102;
PHYSICS 41;
BIO 82 OR 83;
BIO 84.
CS 106A or programming experience highly recommended.
Last offered: Spring 2023
| UG Reqs: WAY-AQR, WAY-SMA
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