Basic Information
The Course Introduces Classical and Generalized Information Measures, And It Studies Some of Their Applications in Data Science, Statistics, Probability And Combinatorics. The First Half of The Course Refers to The Classical Information Measures By Shannon and To Their Applications, The Second Part of This Course Refers to Fisher Information, to Generalizzed Information Measures and Their Applications. Learning Outcomes# 1. The Student Will Be Exposed to Various Classical and Generalized Information Measures, and to Some of Their Applications in Data Science, Statistics, Probability And Combinatorics. 2. The Student Will Be Capable of Thinking About The Incorporation Of Information Measures For Solving Problems in Data Science, and About Utilizing Information Measures Which Prove Helpful in Solving Mathematical Problems. The Acquaintance With Information Measures and Their Applications Is of Relevance To Multi Disciplines in The Fields of Electrical Engineering, Computer Science, Mathematics and Physics.