Data Representation in Computing
Learn how computers represent and manipulate data through text, images, and sound. Perfect for GCSE-Level educators and students.
Learn how computers represent and manipulate data through text, images, and sound. Perfect for GCSE-Level educators and students.
This comprehensive course explores the fundamentals of data representation in computing systems. You'll discover how computers handle different types of data, from text encoding using ASCII and UTF-8 to image and sound representation. The curriculum covers essential concepts including binary representation, character encoding, image formats (bitmap vs vector), sound digitization, and data compression techniques (lossy vs lossless). Designed for GCSE-Level to A-Level educators and learners, this course provides practical insights into teaching computer science concepts effectively. Optional coding challenges using Python offer hands-on experience in implementing these concepts.
Instructors:
English
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What you'll learn
Master binary representation of data in computing systems
Understand text encoding systems including ASCII and UTF-8
Explore image representation through bitmap and vector formats
Learn sound digitization and sampling techniques
Analyze data compression methods and their applications
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
The course provides a comprehensive introduction to data representation in computing systems. Students learn how computers store and process different types of data, including text, images, and sound. Key topics include binary representation, character encoding systems like ASCII and UTF-8, image formats and their applications, sound digitization principles, and data compression techniques. The curriculum emphasizes both theoretical understanding and practical applications, with optional coding challenges in Python to reinforce learning concepts.
Fee Structure
Instructor
5 Courses
EdTech Pioneer: From Classroom to Digital Learning Innovation
Matt Hogan, a Learning Manager at the Raspberry Pi Foundation, brings over two decades of teaching experience to transform computer science education through innovative digital platforms. His significant contributions to projects like Ada Computer Science and various online courses reflect his unwavering commitment to making educational technology accessible to all learners. Drawing from his extensive classroom experience, Hogan focuses on developing comprehensive educational content that bridges the gap between traditional teaching methods and modern technology, while maintaining his passion for EdTech and ensuring that computer science education reaches and inspires young minds regardless of their background or circumstances
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Frequently asked questions
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