Units of the course: - Did my drug work?
- Basic use of Matlab, including variables, functions
- Plotting (bar plots, scatter plots, histograms, cumulative histograms)
- Statistical inference
- Comparing distributions (Kolmogorov-Smirnov test), means (T-test)
- ANOVA
- Fits and indexes
- How to create a fit (linear fits, non-linear fits)
- Dealing with a mountain of data while avoiding garbage in / garbage out
- Calculating robustness/uncertainty for fits and index values
- Time series
- Correlations in time
- Feature detection
- Fourier analysis / frequency analysis
- Convolution and filtering
- Image processing
- Digital representations of images in the world
- Feature detection and extraction
- Functional imaging (time series of images)
- High-dimensional data
- Clustering
- Dimensionality reduction (including principle component analysis)
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