Center for Integrated Bioinformatics
School Of Biomedical Engineering, Science & Health Systems
Drexel University
Center for Integrated BioinformaticsSchool Of Biomedical Engineering, Science & Health Systems Drexel University |
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First course in a three-course sequence designed to acquaint students with the
fundamentals of biology and physiology from an engineering perspective. This
first course covers evolution, genetics, molecular biology and basic cellular
physiology.
Second course in a three-course sequence designed to acquaint students with the
fundamentals of biology and physiology from an engineering perspective. This
second course covers tissues, muscle and nerve function, cardiovascular systems
and respiration. BMES 510 - Biomedical Statistics
This course introduces the graduate student to the fundamentals of inferential
statistics with biomedical applications. It covers topics in data prsentation,
sampling, experimental design, probability and probability distributions,
significance tests, and clinical trials. BMES 515 - Exp Design in Biomed Research
This course is designed to introduce students to the fundamental principles of
experimental design and statistical analysis as applied to biomedical research
with animals and humans. Topics to be covered include experimental design,
clinical design, and protocol submission and review. BMES 543 - Quantitative Systems Biology
This course uses a systems engineering approach to provide a foundation in
systems biology and pathology informatics. Topics covered include the robust
complex network of genes and proteins; cell as basic units of life;
communication of cells with other cells and the environment; and gene circuits
governing development.
This course is designed to provide students with hands-on experience in the
application of genomic, proteomic, and other large-scale information to
biomedical engineering. The underlying goal is to develop an understanding of
highthrough experimental technologies, biological challenges, and key
mathematical and computational methods relevant to biomedical engineering.
This course provides hands-on experience in advanced computational methods used
in systems biology: pathway and circuitry, feedback and control, cellular
automata, sets of partial differential equations, stochastic analysis, and
biostatistics.
Covers the interaction between chemical agents and biological systems at all
levels of integration. Discusses general classes of drugs, with particular
emphasis on general concepts and problems of medical importance.
This course focuses upon the mathematical analysis of biomedical engineering
systems. As the first course in the biosimulation sequence, the course is a
blend of analytical and numerical methods with strong emphasis on analytical
approaches. The class concentrates on the application of mathematical concepts
to biomedical problems drawn from physiological systems, cellular and molecular
systems, bioimaging and biomedical device design.
The second in a two-course sequence, this course focuses upon the mathematical
modeling and subsequent computational analysis of complex biological systems.
Specific examples are drawn physiological systems, cellular and molecular
systems, bioimaging and biomedical device design and analysis. Topics covered
include: modeling of complex bioengineering systems; parameter estimation and
optimization of such models; and application of probability and statistical
approaches as required.
Requires the study and investigation of a research or development problem.
Requires results to be reported in a thesis under the direction of a faculty
adviser. No credit granted until the thesis is completed and approved. |
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Center for Integrated
Bioinformatics |