Class details are subject to change. Last updated 7/2/2014
| Monday | Tuesday | Wednesday | Thursday | Friday |
| BME 5302 Biochemical Engineering for Biomedical Engineers T,Th 12:30-1:45 Yu Lei |
BME 5302 Biochemical Engineering for Biomedical Engineers T,Th 12:30-1:45 Yu Lei |
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| BME 6086-001 Special Topics in BME: Cell Mechanics & Agent-Based Modeling T,Th 2-3:15 George Lykotrafitis |
BME 6086-001 Special Topics in BME: Cell Mechanics & Agent-Based Modeling T,Th 2-3:15 George Lykotrafitis |
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| BME 6086-003 Special Topics in BME: Sensory Neuroscience Lab M 2:30-5:30pm Heather Read |
BME 6086-012 Special Topics in BME: Principles of Optical Imaging & Modern Light Microscopy Tu 2-4:30pm Guoan Zheng |
BME 6120-001/6086-011 Neuronal Information Processing & Sensory Coding Th 4:00-7:00pm M. Escabi |
BME 6110 Computational Neuroscience Day/Time: TBA UCHC D. Kim Instructor Consent Required |
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| BME 6086-002 Special Topics in BME: Advanced Biomaterials Th 3:30-6:15pm Syam Nukavarapu |
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| BME 5000-001 Physiological Systems I Tu 6:00-9:00pm M. Luby luby_ml@yahoo.com Open to undergrads w/ Instructor Consent |
BME 6086-006 Special Topics in BME: Brain Microcircuits Th 3:00-5:00pm D. Oliver Meets at UCHC Instructor Consent Required |
BME 6094-001 Special Topics in BME: Graduate Seminar F 12:00-1:00pm Q. ZhuVideoconferenced to UCHC CG-079B |
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| BME 5020-001 Clinical Engineering Fundamentals M 4:00-7:00pm Frank Painter Instructor Consent Req. Clinical Interns Only |
BME 6450-001 Optical Microscopy Tu 5-8:00pm Ji Yu Meets at UCHC |
BME 6086-004 Special Topics in BME: Introduction to Dynamical Modeling of Genetic and Biochemical Networks W 2:30pm-5:00pm K. Brown Instructor Consent Required kevin.s.brown@uconn.edu |
BME 5210-001 Biomedical Optics: Tissue Optics, Instruments & Imaging Th 3:30-6:00pm Quing Zhu Instructor Consent Req. |
BME 6125-001 Digital Image Processing F 1:25-3:55pm Bahram Javidi |
| BME 6086-007 Special Topics in BME: PK-PD Modeling and Simulation M 5:00-8:00pm Marc Gastonguay Pre-req: Introduction to PK & PD or instructor consent |
BME 5700-001 Biomaterials and Tissue Engineering Tu 3:30-6:15pm Y. Khan |
BME 6086-005 Special Topics in BME: Computational Foundations of Systems Biology W 5pm-7:30pm Y. Shin yshin@engr.uconn.edu |
BME 6500 Biomedical Instrumentation I F 4:00-7:00pm N. Defaria Prereq: BME 5500 or Instructor Consent Required newton.defaria@ni.com |
Course Descriptions
Course descriptions are provided here for only those courses with a temporary course number such as BME 6086-XX. Undergraduate and Graduate course descriptions are provided at the BME website under either the BS Degree Program Description or the Graduate Program Handbook.
BME 6086-004 Special Topics in BME: Introduction to Dynamical Modeling of Genetic and Biochemical
Networks
Recent advances in biological measurement technology have opened up a new era in quantitative biology. Part of this revolution is the new eld of systems biology, which consists of viewing processes in biological cells as a whole, rather than considering one gene or protein at a time. Systems biology relies heavily on mathematical models of cellular processes, often derived from the microscopic laws of chemical and enzyme kinetics. In this course we will focus primarily on continuum (dierential equation) models of cellular processes arising from these microscopic laws. Because most of these models wind up being nonlinear, we will spend a lot of time learning techniques to analyze systems of nonlinear ordinary dierential equations, and we will explore the fundamental dierences between linear and nonlinear systems. Biological applications will include modeling observed error rates in protein translation, using system nonlinearities to design biological toggle switches, and exploring biological motifs that lead to oscillations, switches, and other behaviors.
BME 6086-005 Special Topics in BME: Computational Modeling/BioMEMS for Systems Biology
Systems biology is a relatively new field that studies complex interactions within intracellular or intercellular networks using a systems approach. In systems biology, computational modeling plays an important role as it can unravel hidden dynamics that are often hard to recognize intuitively. Considering complex nature of biological systems, biological models should always be validated using relevant experiments, and BioMEMS (Biological or Biomedical MicroElectroMechanical Systems) provides an innovative platform for such experiments. BioMEMS is the science and technology of constructing devices or systems, using methods inspired from micro or nano-scale fabrication, that are used for processing, delivery, manipulation, analysis, or construction of biological and chemical entities. In this course, students will be introduced to BioMEMS with an emphasis on systems biology applications. Integrating BioMEMS with computational modeling for innovative systems biology research is interdisciplinary in nature and requires knowledge and skills for applying molecular biology, chemistry, physics, medicine, engineering, computer science, etc. Through a variety of projects, students will obtain a basic understanding of integrating BioMEMS and computational modeling for systems biology applications. This project-oriented, active learning approach will allow students to work at their own pace, solving problems in exploratory mode to gain better insights, similar to what is done in the context of research.