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Course Criteria
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3.00 Credits
P: N107 or K101. Equiv. PU AGR 430. Spring, night. Basic principles of plant and animal genetics. Emphasis on transmission mechanisms as applied to individuals and populations. For students in health and agricultural sciences.
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3.00 Credits
P: consent of instructor. Fall, night. Concepts and laboratory skills necessary to prepare teachers with diverse backgrounds to return to graduate academic biology courses are reviewed. Topics include general principles of biology, biochemistry, and biomathematics.
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4.00 Credits
P: MATH 16600 C: PHYS 25100 The foundations of basic circuit theory are covered: voltage-current characteristics of resistive and reactive elements, Ohm's and Kirchhoff's Laws, equivalent sources, transformations and superposition, transient response, instantaneous and average power, and AC impedance. Electronic instruments are used in the context of biomedical applications: such as transducers, electrodes and amplifiers in addition to the origins and measurement of biopotentials. Laboratory exercises utilize standard equipment and their safe use in the measurement of biologically based signals.
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4.00 Credits
P: PHYS 15200 and BME 22200 This course combines didactic lecture and laboratory experiments to introduce the student to the principles of mechanics and how these concepts apply to musculoskeletal tissues.
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3.00 Credits
P: BME 33400. Probability theory and statistical methods are developed for life science applications. Analytical tools such as hypothesis testing, estimation of moments, sampling theory, correlation and spectral analysis are developed and applied to identifying underlying processes in biological systems, developing realistic models of physiological processes, designing experiments, and interpreting biological data.
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3.00 Credits
P: BME 22200 and MATH 26600. This course applies mathematical analysis tools to biological signals and systems. Frequency analysis, Fourier and Laplace transforms, and state equations are used to represent and analyze continuous and discrete-time biosignals. Classic feedback analysis tools are applied to biological systems that rely on negative feedback for control and homeostasis.
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3.00 Credits
P: ENGR 29700 and MATH 26600. This course explores numerical and computational approaches to analyzing biological data and solving biological problems.Students will learn to fit and interpret biological data, apply probabilistic and differential equation modeling techniques to biological processes, and assess appropriateness of numerical tools for biomedical applications. Special attention is given to the built-in analysis functions and toolboxes of MATLAB.
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3.00 Credits
P: BIOL-K 101 and CHEM-C 106. C: BIOL-K 324 This course will introduce the students to the biological principles of cellular/tissue behaviors and properties. Topics include: fundamental concepts of cellular structure and tissue organization, biomolecular elements and their properties, cell shape, cell adhesion and migration, mechanotransduction, pattern formation in embryos, and stem cell and tissue regeneration.
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1.00 Credits
P: BME 24100 C: BME 35200 This course develops quantitative biomechanical methods to analyze cell/tissue behavior and properties and to solve biomechanical engineering problems. Topics include: molecular and cellular basis for mechanotransduction, mechanobiology in skeletal and cardiovascular tissues, and molecular/cellular experiments. Students will solve problems appropriate for the class materials, and conduct experiments in the area of molecular/cellular engineering.
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3.00 Credits
P: BIOL-K 101 and CHEM-C 106. This course combines biomaterials, their biological response, and interactions between implantable materials and biological systems. Materials science of implantable materials; overview of implantable biomaterials and interactions between implants and biosystem; in vitro and in vivo biocompatibility tests; and specific examples on implant-tissue interactions, biocompatibility, and evaluation tools are presented.
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