BIOMEDICAL ENGINEERING WEB

Fall 2004
Spring 2005
Fall 2005
Spring 2006

Fall 2004 Offerings

Monday	Tuesday	Wednesday	Thursday	Friday
Undergraduate Courses
BME 261 W Biomechanics 9:00-10:00am CAST 206 C. Davis UConn, Storrs Class #	BME211 Introduction to Biomedical Engineering 9:30-10:45am J. Enderle UConn, Storrs Class#	BME 261 W Biomechanics 9:00-10:00am CAST 206 C. Davis UConn, Storrs Class #10672	BME211 Introduction to Biomedical Engineering 9:30-10:45am J. Enderle UConn, Storrs Class#	BME 261 W Biomechanics 9:00-10:00am CAST 206 C. Davis UConn, Storrs Class #
BME 290 Design I 2:00-4:00pm GENT 430 UConn, Storrs Class #	BME 221 Biochemical Engineering Tuesday & Thursday 9:30-11am UConn, Storrs R. Srivatava Class #	BME 290 Design I 2:00-3:00pm GENT 430 UConn, Storrs Class #3526	BME 221 Biochemical Engineering Tuesday & Thursday 9:30-11am UConn, Storrs R. Srivatava Class #	BME 291 Design II 1:00-5:00pm BRON 213 UConn, Storrs Class #
	BME 252 Biomedical Engineering Measurements 3:30-5:00pm MSB 303 UConn, Storrs Quing Zhu Class #		BME 252 Biomedical Engineering Measurements 3:30-5:00pm MSB 303 UConn, Storrs Quing Zhu Class #
BME 295-04 Optimization & Analysis of Biological Systems 1-2:30pm UConn, Storrs Luke Achenie Class # Cross-Listed with CHEG 295 Taught with BME 300-03	BME 272 Advanced Biomaterials 2:00-3:30pm UConn, Storrs Mei Wei Class #	BME 295-04 Optimization & Analysis of Biological Systems 1-2:30pm UConn, Storrs Luke Achenie Class # Cross-Listed with CHEG 295 Taught with BME 300-03	BME 272 Advanced Biomaterials 2:00-3:30pm UConn, Storrs Mei Wei Class #
BME 295-02 Computational Molecular Biology 10:00-1100AM Ion Mandoiu Class # Taught with BME 300-02		BME 295-02 Computational Molecular Biology 10:00-1100AM Ion Mandoiu Class # Taught with BME 300-02		BME 295-02 Computational Molecular Biology 10:00-1100AM Ion Mandoiu Class # Taught with BME 300-02

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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