Week 1 : Introduction: basic probability and statistics
Week 2 : Introduction: basic R
Week 3 : Presenting data: inaccurcacies and error and its propagation
Week 4 : R for descriptive data analysis
Week 5 : Probability distributions
Week 6 : Probability distributions using R
Week 7 : Processing of experimental data using R
Week 8 : Fitting functions to data: regression, testing significance of fit
Week 9 : R for graphical handling of data and fitting
Week 10 : Basics of design of experiments
Week 11 : Bayesian inference and its uses
Week 12 : Case studies using R
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