Information Theory Basics and Hartley's Formula

Understanding how digital systems quantify information is an essential skill in computer science and data analysis. This text-based course provides a clear introduction to the fundamentals of information theory, focusing on alphabet capacity and Hartley's equation for equiprobable events. You will build a solid mathematical foundation for measuring data volume in communication systems. What you will learn: Understand core concepts including bits, symbols, and alphabet capacity. Apply Hartley's formula to calculate symbol information weight. Analyze binary and custom multi-symbol alphabet systems. Compare Hartley's model with modern concepts of information entropy. Practice solving quantitative information theory problems through written exercises. The course begins with essential definitions and mathematical principles before progressing to practical calculation scenarios. Created specifically for beginners, this course requires no prior background in advanced mathematics or computer science. Start reading today to master the fundamentals of information measurement.