Number Systems and Binary Arithmetic for Computer Science — PickAClass
⏱ 2h 42m 📚 27 lessons

Number Systems and Binary Arithmetic for Computer Science

Master base conversions, binary math, and numerical data representation essential for foundational computer science.

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About this course

Understanding how computers represent and process numerical data is a fundamental requirement for mastering computer science. This text-based course provides a structured introduction to number systems, guiding you from base principles to practical computational techniques. You will build a deep intuitive understanding of positional bases, manual conversion algorithms, and binary calculations through clear written lessons and guided practice exercises. What you will learn: Understand fundamental definitions, positional logic, and base notation; Convert values smoothly between binary, octal, decimal, and hexadecimal systems; Perform binary arithmetic, including addition, subtraction, and multiplication; Process fractional numbers and learn conversion techniques for non-integer values; Explore modern signed integer representations such as two's complement; Apply bitwise concepts to understand low-level data manipulation. The learning path begins with core terminology and theoretical concepts before advancing to step-by-step mathematical procedures and computing logic. This course is ideal for beginners and students seeking a clear, accessible entry point into fundamental computer logic without any prior experience. Begin reading now to master the numerical foundations of computer science.

Course contents

What you'll get

  • 📜 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 42m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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Number Systems and Binary Arithmetic for Computer Science
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Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
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pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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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 don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — 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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