Concept
Information content
Related lectures (33)
Quantum Information
Explores the CHSH operator, self-testing, eigenstates, and quantifying randomness in quantum systems.
Quantum Source Coding
Covers entropic notions in quantum sources, Shannon entropy, Von Neumann entropy, and source coding.
Plasma Physics: Collisions and Resistivity
Covers Coulomb collisions and resistivity in plasma, highlighting their random walk nature.
Building a Decision Tree
Covers building decision trees to classify mushrooms as poisonous or not.
Quantifying Randomness and Information in Biological Data
Explores entropy, randomness, and information quantification in biological data analysis, including neuroscience and protein structure prediction.
Advanced Probabilities: Random Variables & Expected Values
Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.
Interpretation of Entropy
Explores the concept of entropy expressed in bits and its relation to probability distributions, focusing on information gain and loss in various scenarios.
Information Theory: Quantifying Messages and Source Entropy
Covers quantifying information in messages, source entropy, common information, and communication channel capacity.
Supervised Learning: Decision Trees
Covers supervised learning with decision trees and feature selection for classification.
Propositional Logic
Covers the importance of Discrete Mathematics for Computer Science and explains the course organization, weekly schedule, exercises, and exams.