BE210   Bioengineering Lab II

Bioengineering Undergraduate Program

 


Link to student projects

 

 

Credit:  1 course unit

Required course


Catalog Description:

Second term of a two-year sequence designed to integrate real world experiences into various Bioengineering and Bioengineering Science courses.  Experiments and projects in mechanics, material and chemical applications to Biomedical Engineering

Prerequisites:

Bioengineering Laboratory I, BE 209;
Introduction to Biomechanics and Biomaterials;
Math 240


Textbook(s) and/or other required course materials
:

BE210 Lab Manual;
Handouts on topics in Matlab use and exercises;
Biostatistics: The Bare Essentials, Norman & Streiner, Second Edition, BC Decker, Inc.


Course Objectives:

 

To provide a rigorous introduction to laboratory experiences, experimental design and analysis and applications of engineering and scientific principles in the areas of biomechanics, biomaterials, biophysical chemistry, and physiology. This course incorporates a lecture series for presentation of relevant statistical applications and study designs as related to the experiments of the course; students will learn to implement basic t-test and ANOVA techniques, regressions and correlations to laboratory experiments. There is also a computer lab series of relevant mathematical approaches and techniques: students will have hands-on exercises to implement data analysis techniques in a computational software tool. They will also be exposed to power analysis and ANOVA techniques in the project period of the course. The course utilizes a team-approach to facilitate research and learning, instructing students to work in groups to plan experiments, carry them out, analyze data and present findings.

Topics Covered: 

·        Experimental methods and approaches in:

·        Cell Growth Kinetics

·        Fracture Energy of Bone

·        Materials Testing

·        Buffering Techniques & Titration

·        Imaging Techniques for Data Acquisition & Strain Estimation

·        Mathematical and computational techniques for:

-         Modeling of physical systems

-         Analysis of data

-         Curve fitting and analysis


Contribution towards Professional Component:


75% Engineering science
25% Engineering design


Contribution towards Program Outcomes:

Multidisciplinary Ability

High

Problem Solving Approach

High

Problem Solving Methods

Med.

Experimentation

High

Design

Med.

Professional Orientation

High.


Person(s) Preparing Description and Date:

Beth Winkelstein
July 2007