# Topics covered

**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)