Information Theory Basics and Hartley's Formula
Learn how to calculate information volume, alphabet capacity, and symbol weight using foundational information theory principles.
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AI instructor
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Start anytime
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In English
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About this course
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.
What you'll get
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Certificate of completion
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Personal AI tutor
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Lifetime access
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Phone or computer
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14-day refund
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Short & focused
2h 48m of practical content
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Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We donโt store card details โ Stripe handles them securely.
Can I get a refund? +
Yes โ full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
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