Modular Arithmetic and Primality Testing Fundamentals
Master modular calculations, fast exponentiation, and probabilistic primality testing algorithms through clear written lessons and practical exercises.
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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 prime numbers and modular arithmetic is essential for modern algorithms, cybersecurity, and computer science. This text-based course guides you step by step through core number theory concepts and efficient computational techniques. What you'll learn: Understand core modular arithmetic operations including modular addition, multiplication, and inverses. Apply the Extended Euclidean Algorithm to solve linear congruences. Compute large powers efficiently using modular exponentiation algorithms. Implement and evaluate probabilistic primality testing techniques like the Miller-Rabin test. Analyze error probabilities and computational complexity in number-theoretic algorithms. Explore practical connections to foundational public-key cryptography and secure communication protocols. The course begins with clear definitions and foundational properties before progressing to algorithmic implementations and practical written exercises. Designed for beginners in programming and mathematics, with no advanced background required. Start reading to strengthen your understanding of computational number theory today.
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 54m 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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