printer friendly pageBIOE 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;
PHYSICS 41;
BIO 41, 42
Terms: Spr
| Units: 4
| UG Reqs: WAY-SMA, WAY-AQR
Instructors:
Deisseroth, K. (PI)
;
Rogers, K. (PI)
;
Taylor, C. (PI)
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more instructors for BIOE 103 »
Instructors:
Deisseroth, K. (PI)
;
Rogers, K. (PI)
;
Taylor, C. (PI)
;
Anderson, E. (TA)
;
Maheshwari, A. (TA)
;
Shunhavanich, P. (TA)
BIOE 103B: Systems Physiology and Design
*ONLINE Offering of
BIOE103. This pilot class,
BIOE103B, is an entirely online offering with the same content, learning goals, and prerequisites as
BIOE103. Students attend class by watching videos and completing assignments remotely. Students may attend recitation and office hours in person, but cannot attend the BIOE103 in-person lecture due to room capacity restraints.* 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:
MATH 41, 42;
CME 102; PHY 41;
BIO 41, 42; strongly recommended PHY 43; or instructor approval.
Terms: Spr
| Units: 4
| UG Reqs: WAY-SMA, WAY-AQR
BIOHOPK 174H: Experimental Design and Probability (BIOHOPK 274H)
(Graduate students register for 274H.) Variability is an integral part of biology. Introduction to probability and its use in designing experiments to address biological problems. Focus is on analysis of variance, when and how to use it, why it works, and how to interpret the results. Design of complex, but practical, asymmetrical experiments and environmental impact studies, and regression and analysis of covariance. Computer-based data analysis. Prerequisite: Biology core or consent of instructor.
Terms: Win, Spr
| Units: 3
| UG Reqs: GER: DB-NatSci, GER:DB-Math, WAY-FR, WAY-AQR
Instructors:
Watanabe, J. (PI)
BIOHOPK 177H: Dynamics and Management of Marine Populations (BIOHOPK 277H)
(Graduate students register for 277H.) Course examines the ecological factors and processes that control natural and harvested marine populations. Course emphasizes mathematical models as tools to assess the dynamics of populations and to derive projections of their demographic fate under different management scenarios. Course objectives will be met by a combination of theoretical lectures, assigned readings and class discussions, case study analysis and interactive computer sessions.
Terms: Win
| Units: 4
| UG Reqs: WAY-AQR, WAY-FR
| Repeatable
2 times
(up to 8 units total)
Instructors:
De Leo, G. (PI)
CEE 29N: Managing Natural Disaster Risk
Natural disasters arise from the interaction of natural processes, such as earthquakes or floods, with human development that suffers safety-related and economic losses. We cannot predict exactly when those disasters will occur, or prevent them entirely, but we have a number of engineering and policy options that can reduce the impacts of such events.
Last offered: Winter 2015
| UG Reqs: WAY-AQR
CEE 70: Environmental Science and Technology (ENGR 90)
Introduction to environmental quality and the technical background necessary for understanding environmental issues, controlling environmental degradation, and preserving air and water quality. Material balance concepts for tracking substances in the environmental and engineering systems.
Terms: Win, Sum
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR
Instructors:
Kopperud, R. (PI)
CEE 70N: Water, Public Health, and Engineering
Preference to frosh. Linkages between water, wastewater and public health, with an emphasis on engineering interventions. Topics include the history of water and wastewater infrastructure development in the U.S. and Europe; evolution of epidemiological approaches for water-related health challenges; biological and chemical contaminants in water and wastewater and their management; and current trends and challenges in access to water and sanitation around the world. Identifying ways in which freshwater contributes to human health; exposure routes for water- and sanitation-illness. Classifying illnesses by pathogen type and their geographic distribution. Identifying the health and economic consequences of water- and sanitation-related illnesses; costs and benefits of curative and preventative interventions. Interpreting data related to epidemiological and environmental concepts. No previous experience in engineering is required.
Terms: Aut
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
Instructors:
Davis, J. (PI)
CEE 178: Introduction to Human Exposure Analysis (CEE 276)
(Graduate students register for 276.) Scientific and engineering issues involved in quantifying human exposure to toxic chemicals in the environment. Pollutant behavior, inhalation exposure, dermal exposure, and assessment tools. Overview of the complexities, uncertainties, and physical, chemical, and biological issues relevant to risk assessment. Lab projects. Recommended:
MATH 51. Apply at first class for admission.
Terms: Spr
| Units: 3
| UG Reqs: WAY-SMA, WAY-AQR, GER:DB-EngrAppSci
Instructors:
Kopperud, R. (PI)
CHEM 134: Analytical Chemistry Laboratory
Classical analysis methods, statistical analyses, chromatography, and spectroscopy will be covered with an emphasis upon quantitative measurements and data analysis. WIM course with full lab reports and oral communication. Concludes with student-developed quantitative project. Prerequisite:
Chem 35
Terms: Spr
| Units: 5
| UG Reqs: GER: DB-NatSci, WAY-SMA, WAY-AQR
Instructors:
Babicz, J. (PI)
;
Cox, C. (PI)
;
Dai, H. (PI)
;
Geise, N. (PI)
;
Noll, S. (PI)
;
Schaefer, A. (PI)
CHEMENG 20: Introduction to Chemical Engineering (ENGR 20)
Overview of chemical engineering through discussion and engineering analysis of physical and chemical processes. Topics: overall staged separations, material and energy balances, concepts of rate processes, energy and mass transport, and kinetics of chemical reactions. Applications of these concepts to areas of current technological importance: biotechnology, energy, production of chemicals, materials processing, and purification. Prerequisite:
CHEM 31.
Terms: Spr
| Units: 4
| UG Reqs: WAY-SMA, GER:DB-EngrAppSci, WAY-AQR
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