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BIOMEDICAL HEADER

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Fall 2004 Offerings


Monday

Tuesday

Wednesday

Thursday

Friday

Graduate Courses

BME 310
  Physiological Systems I
6:00-9:00PM
TLS 154
UConn, Storrs
J. Enderle
Class #7863
(Taught with PNB 264, Class No. 11534)

BME 300-01
Current Topics in Biophysics and Imaging Microscopy
5:00-7:30PM
PB 121
UConn, Storrs
Paul Campagnola
Class #11427

BME 350
  Clinical Engineering Fundamentals
4:00-7:00PM
KOONS 201 
UConn, Storrs
F. Painter 
Class #11435
Preq: Consent of Instructor

BME 312
Human Biomechanics

6:00-9:00PM
Blue Auditorium, Academic Entrance, UCHC
Donald Peterson
Class #1554
Preq: BME 261W or consent of instructor

BME 357
Communication & Control in Physiological Systems

6:00-9:00PM
MSB 319
UConn, Storrs
M. Escabi
Class #12338
Preq: BME 315 or consent of the instructor.

BME 300-02
Bioinformatics

6:00-9:00PM
ARB Room EG053
UCHC
R. Simon
Class #6967

BME 300-04
Exposure Assessment in  Ergonomics
5:30-8:30PM
Classroom H, Main Floor
UCHC
N. Warren
Class #7115

BME 321-02
Biochemical Engineering

Tuesday & Thursday
9:30-11:000am
EII 321
UConn, Storrs
T. Wood
Class #8084
(Taught with BME 221)

BME 321-02
Biochemical Engineering

Tuesday & Thursday
9:30-11:00am
EII 321
UConn, Storrs
T. Wood
Class #8084
(Taught with BME 221)

BME 316
Computational Neuroscience
D. Kim
Monday & Thursday, 3:30-4:30pm
Room E-4036, UCHC 
Class #6719

BME 300-05
Advanced Biopharmaceutics
Location, Day and Time to be arranged
UConn, Storrs
Diane Burgess
Class #
(Cross-listed with Pharmacy 334)

Reminder

The MS Degree requirements include a total of 9 credits of GRAD 395. It is best to take 3 credit hours each semester until the degree requirements are met. For this semester the Call No. is 6711.

The Ph.D. Degree requirements include a total of 15 credits of GRAD 495. It is best to take 3 credit hours each semester until the degree requirements are met. For this semester the Call No. is 6723.

BME 320 Courses (Independent Study) are listed at uconnvm.uconn.edu. If a faculty name does not appear, please inform Dr. Enderle at jenderle@bme.uconn.edu.

BME 295 (Special Topics in Biomedical Engineering) and BME 299 (Independent Study in Biomedical Engineering) are available. Please see an instructor in the program if you have an interest in one of these courses.

Course Descriptions

Course descriptions are provided here for only those courses with a temporary course number such as BME 300-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 295-03 & BME 300-03 Drug Delivery

Current methodologies used in drug delivery, including aerosol technologies, polymeric controlled release systems, genetic/viral based delivery systems, and implantable devices, will be covered. Mathematical techniques for modeling design, delivery, and release of drugs will also be covered.

BME 300-02 Research Methods in Biomedical Engineering

An inquiry into the nature of research with emphasis on the spirit, logic, and components of the scientific methods. Health related research literature is used to aid the student in learning to read, understand, and critically analyze published materials. The preparation of research proposals and reports is emphasized.

BME 300-09 and BME 295-08Computational Cell Biology for Biomedical Engineers
In the last decade, interdisciplinary science has established itself as a leading area of scientific investigation. The use of physics and mathematics to help understand biological systems hints at being one of the major scientific frontiers of this coming century. This course looks at biology at three separate length scales: molecular, cellular, and organismal/population. We will find that the math/physics of elasticity, hydrodynamics, statistical mechanics and reaction/diffusion can explain a broad range of phenomena throughout these size ranges. This course stresses the physical intuition of how to apply quantitative methods to the study of biology through the use of dimensional analysis, analytic calculation and computer modeling.

 

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