Designing the experiment

• the form of a good hypothesis
• the preliminary choice of quantization levels
• repeatable experiments
• reproducible experiments
• the A/B testing method

Implementing the experiment

• the four Vs of Big Data
• collecting, storing and cleaning the data
• quantizing the data
• the tool of data visualisation
• the choice of samples

Mathematical Statistics

• primitive events, counting principles
• probability, Probability Mass Functions, frequencies
• Shannon's entropy, KL-divergence
• orthodox statistics, Bayesian statistics
• likelihood, prior, posterior