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Biomedical Engineering

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Massachusetts Institute of Technology Integrates Cancer Research in the Lab and Classroom with MathWorks Tools  
Description: MIT professor Dr. Alterovitz initiated and directed a new course, Bioinformatics and Proteomics: an Engineering Problem-Solving Based Approach, which was standardized on a set of MathWorks tools including MATLAB and the Bioinformatics Toolbox. This class, which paralleled his ongoing cancer research, gave students access to cutting edge research from both MIT and Harvard. Because the MATLAB programming language is easy to learn, students, biology majors and engineers alike, could focus more on research rather than programming.
Target audience: Graduate
Academic institution: Massachusetts Institute of Technology
Materials available: Course outline/syllabus
Products: MATLAB,Bioinformatics Toolbox,MATLAB Distributed Computing Server,Statistics Toolbox,Signal Processing Toolbox

Submitted: Jul 09, 2008
SPM: Statistical Parametric Mapping  
The SPM software package is a suite of MATLAB functions implementing Statistical Parametric Mapping. It refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional imaging data. The current release is designed for the analysis of fMRI, PET, SPECT, EEG and MEG.
Submitted: Aug 22, 2007
Biomechanics of Human Motion  
Description: This course provides an overview of human skeletal and muscular anatomy and physiology. Concepts of engineering mechanics are applied to the human musculoskeletal system. Topics covered include: kinematics, statics, dynamics of human motions, and human motion metrology.
Note: follow the link provided on the syllabus to course notes, matlab assignments, and lab exercises.
Course material created by Professor Robert L. Williams II, Ph.D.
Target audience: Senior undergraduate(4th year) and graduate
Institution: Ohio University
Materials available: Problem sets or projects, Lab materials, Course outline or syllabus
Products: MATLAB

Submitted: Jul 23, 2008
Statistical Thermodynamics of Biomolecular Systems  
Description: This course provides an introduction to the physical chemistry of biological systems. Topics include: connection of macroscopic thermodynamic properties to microscopic molecular properties using statistical mechanics, chemical potentials, equilibrium states, binding cooperativity, behavior of macromolecules in solution and at interfaces, and solvation. Example problems include protein structure, genomic analysis, single molecule biomechanics, and biomaterials. Computer simulation tools included.
Course material created by Professor Linda Griffith and Professor Kim Hamad-Schifferli.
Target audience: Advanced undergraduate (3rd or 4th year)
Institution: Massachusetts Institute of Technology
Materials available: Course outline or syllabus
Products: Simulink,MATLAB

Submitted: Jul 22, 2008
Bioengineering Signals and Systems  
Description: This course introduces a broad range of bioengineering systems and applications. Emphasis will be place on bioelectric phenomena (electrical propagation in cardiac muscle and signaling in the brain) and biomedical instrumentation and measurement. Other topics include modeling disease propagation and the application of techniques for control or eradication of infection agents.
Course material created by Professor Michael Small.
Target audience: Advanced undergraduate (3rd or 4th year)
Institution: The Hong Kong Polytechnic University
Materials available: Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
Products: MATLAB

Submitted: Jul 22, 2008
Mechanics of Growth  
Description: This course addresses the phenomenon of growth on a theoretical and computational level and applies the resulting theories to classical biomechanical problems like bone remodeling, hip replacement, wound healing, atherosclerosis or in stent restenosis. This course will illustrate how classical engineering concepts like continuum mechanics, thermodynamics or finite element modeling have to be rephrased in the context of growth.
Course material created by Professor Ellen Kuhul.
Target audience: Graduate
Institution: Stanford University
Materials available: Problem sets or projects, Presentations, Downloadable code or data files
Products: MATLAB

Submitted: Jul 30, 2008



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