Our Faculty, Staff & Students

Contact Us

Professor and Department Head

Dr. Monty Escabi
Phone: (860) 486-0063
Email: monty.escabi@uconn.edu

Staff

Lisa Ephraim
Undergraduate Academic Advisor
Phone: (860) 486-0163
E-mail: lisae@engr.uconn.edu

Jennifer Seyford
Financial Assistant II
Phone: (860) 486-0116
E-mail: jennifer.seyford@uconn.edu

Birgit Sawstrom
Admin Service Assistant III
Phone: (860) 486-5838
E-mail: birgit.sawstrom@uconn.edu

Sowmya Ramesh
Financial Assistant I
Phone: (860) 486-7139
E-mail: sowmya.ramesh@uconn.edu

 

Main Office Address

Biomedical Engineering Department
A.B. Bronwell Building, Room 217
260 Glenbrook Road, Unit 3247
University of Connecticut
Storrs, CT 06269-3247
Phone: (860) 486-5838
Fax: (860) 486-2500

Undergraduate Fall 2014 Course Offerings

Class details are subject to change. Last updated 7/29/2014

 

Monday Tuesday Wednesday Thursday Friday
BME 2101
Introduction to Biomedical Engineering
TTh 9:30am-10:45am
K. Gielo-Perczak
                 BME 2101
Introduction to Biomedical Engineering
TTh 9:30am-10:45am
K. Gielo-Perczak  
BME 4985-005
Special Topics in BME: Digital Image Processing for BME
F 1:15pm-3:55pm
B. Javidi
BME 4985-002
Special Topics in BME: Sensory Neuroscience Lab
M 2:30pm-5:30pm

 H. Read
Instructor Consent Required


BME 4900
Senior Design I
MW 12:20pm-2:20pm
Multiple Instructors
BME 3600W Biomechanics
TTh 11:00am-12:15pm
D. Pierce & K. Gielo-Perczak
BME 4900
Senior Design I
MW 12:20pm-2:20pm

Multiple Instructors
BME 3600W Biomechanics
TTh 11:00am-12:15pm
D. Pierce & K. Gielo-Perczak
BME 4500 Bioinstrumentation
M 3:30pm-6:00pm
Q. Zhu
 BME 4710
Introduction to Tissue
Engineering
T 3:30pm-6:15pm

Y. Khan
BME 4985-003
Special Topics in BME: Introduction to Dynamical

Modeling of Genetic &

Biochemical Networks
W 2:30-5:00pm

K. Brown
Instructor Consent Required kevin.s.brown@uconn.edu 

 
  BME 3500
Biomedical Engineering Measurements
TTh 3:30pm-4:45pm
C. Xu & P. Kumavor
BME 4985-004
Special Topics in BME: Computational Foundations

of Systems Biology
W 5:00pm-7:30pm

 Y. Shin yshin@engr.uconn.edu

BME 3500
Biomedical Engineering Measurements
TTh 3:30pm-4:45pm
C. Xu & P. Kumavor
 
BME 4800 Bioinformatics
TTh 3:30pm-4:45pm

I. Mandoiu
                            BME 4800
Bioinformatics
TTh 3:30pm-4:45pm

I. Mandoiu
BME 4701 Advanced Biomaterials
Th 3:30pm-6:15pm
S. Nukavarapu
BME 4985-001
Special Topics in BME:
Optical Microscopy/Bio-Imaging
T 5:00pm-8:00pm
J. Yu
UCHC

Course Descriptions

Course descriptions are provided here for only those courses with a temporary course number such as BME 4985-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 4985-001 Special Topics in BME: Optical Microscopy and Bio-Imaging, 3 credits. The course presents the current state of the art of optical imaging techniques and their applications in biomedical research. The course materials cover both traditional microscopies (DIC, fluorescence etc.) that have been an integrated part of biologists’ tool-box, as well as more advance topics, such as single-molecule imaging and laser tweezers. Four lab sessions are incorporated in the classes to help students to gain some hand-on experiences. Strong emphasis will be given on current research and experimental design.  Also offered as MEDS 301.

BME 4985-002 Special Topics in BME: Sensory Neuroscience Lab, 3 credits This course is designed to instruct graduate and undergraduate students on state-of-the art models, applications and techniques in the field of sensory neuroscience.  It will cover multiple fields of science including: Psychology, Cognitive Neuroscience, Neuroscience, Developmental Biology, Physiology and Behavior and Biomedical Engineering. It will be distinct from a similarly titled course, Sensation and Perception in that it will: 1) focus on state-of-the art applications and theories and 2) be tailored to teach upper level undergraduates, honors and graduate level students.  It will be cross-listed for Psychology and Biomedical Engineering to attract students with cross-discipline interests.

BME 4985-003 Special Topics in BME: Introduction to Dynamical Modeling of Genetic and Biochemical Networks, 3 credits 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 (differential 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 4985-004 Special Topics in BME: Computational Foundations of Systems Biology, 3 credits The use of computers for computation and simulation has become important in many fields of science and engineering. In this course, students will be introduced to computational biology with an emphasis on systems biology. Computational biology is similar to other computation-oriented disciplines (e.g., computational physics, control engineering, etc.) in terms of computational methods. Therefore, students will learn methods developed in other fields of computational science and engineering and apply them to biology. Students will also learn basic skills in programming using MATLAB and LabVIEW in the context of modeling, analyzing, estimating, and controlling real biological systems. Through a variety of projects, students will obtain a deeper understanding of physical and engineering principles applied to biological systems. This project-oriented, active learning approach will allows students to work at their own pace, solving problems in exploratory mode to gain better biological insights, similar to what is done in the context of research.