Contents

Module 1. Probability

• Sample spaces, Events and Probability
• Introduction to Python
• A little bit of C++
• Programming with Event and Sample Spaces (Python)
• Programming with Event and Sample Spaces (C++)
• Conditional Probability and Independence
• Random variables and Distributions
• Running Simulations
• Programming with Matrices (Numpy and Eigen)
• Absorbing Markov Chains

Module 2. Logic

• Bitwise Logic
• Bitwise numbers
• The Perceptron
• Puzzle Practise
• Recursion and Backtracking
• Programming Logic
• Programming Logic II

Module 3. Matrices

Module 4. Misc.

Module 5. Mechanics

Module 6. Functional programming