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NENS 230. Analysis Techniques for the Biosciences Using MATLAB. 2 Units.

Data analysis and visualization techniques commonly encountered in biosciences research. Fundamentals of the MATLAB computing environment, programming and debugging, data import/export, data structures, plotting, image analysis, introduction to statistical tools. Examples and assignments draw from a range of topics applicable to bioscience research: frequency analysis, genetic data mining, ion channel kinetics, neural spike rasters and spike-triggered averages, cell counting in fluorescence images, regression, PCA, and stochastic simulation. Assignments are practical in nature and demonstrate how to implement specific analyses that a biosciences student is likely to encounter. Assumes no previous programming experience.

Neurosciences

http://exploredegrees.stanford.edu/schoolofmedicine/neurosciences/

...Translational Neuroscience (same as NENS 207 Neuroscience Core...Exploring Neural Circuits BIO 230 Molecular and Cellular...