Mastering Cambridge IGCSE/O Computer Science: Number Systems

Name: Mastering Cambridge IGCSE/O Computer Science: Number Systems
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Navigating Cambridge IGCSE ( 0478 / (9-1) - 0984 / (9-1) / O level (2210) Computer Science: Number Systems

Created byProfessor Sage

Last updated 9/2023

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What you'll learn

Get a Score of 9 in Cambridge IGCSE Computer Science (9–1)
Get an A* in Cambridge IGCSE Computer Science O Level
Get a 5 on AP Computer Science Principles
Score Full Marks in IGCSE Computer Science Paper 1.
Become a Pro at Number Systems

Course content

2 sections • 14 lectures • 1h 4m total length

Syllabus & Content overview0:42
Explore the syllabus and content overview of the Cambridge IGCSE/O computer science course, with theory and practical examples to build a solid grasp, plus tutoring options on cs.com.
Intro0:57
Explore the Cambridge GCSE computer science number systems syllabus with in-depth explanations, introductory insights, and resources, guiding you through the sub topic in paper one.

1.1 Number systems: How computers use binary to represent all forms of data3:49
Explore how computers use binary, zeros and ones, to represent numbers, colors, and all data with a simple, fast on/off system.
How computers use binary to represent all forms of data
1.1 Number systems: Understand the denary, binary and hexadecimal number system2:32
Explore the decimal (denary), binary, and hexadecimal number systems, including digits 0-9 and A-F, and why computers use binary.
Understand the denary, binary and hexadecimal number system.
1.1 Number systems: Converting Binary & Hexadecimal Number system to Decimal.5:01
Convert binary to decimal by starting at the least significant bit, indexing from zero, and summing powers of two. Convert hexadecimal to decimal using base 16, mapping a–f to 10–15.
Converting Binary & Hexadecimal Number system to Decimal.
1.1 Number systems: Convertions between decimal no system, binary & hexadecimal.9:11
Learn to convert decimal numbers to binary and hexadecimal, and hex to binary, using division by two and by sixteen with quotients and remainders, and apply four-bit hex digits.
Convertions between decimal no system, binary & hexadecimal.
1.1 Number systems: Why hexadecimal number system is beneficial.2:31
Explore how hexadecimal makes data representation more human friendly by bridging binary and human understanding, showing its use for memory addresses and color codes and why it is more readable.
Why hexadecimal number system is beneficial.
1.1 Number systems: How to add two positive 8-bit binary integers.4:20
Explore how to add two eight-bit binary numbers, using the carry concept and binary addition rules, with step-by-step examples like 7 plus 5 and 1010 plus 1111.
How to add two positive 8-bit binary integers.
1.1 Number systems: Understanding the concept of overflow.4:22
Explain overflow errors in binary arithmetic using an eight-bit register, showing how results exceeding capacity cause overflow and how 16-bit and 32-bit limits define maximum values.
Understanding the concept of overflow.
1.1 Number systems: Logical Binary Left Shift Operation6:56
Understand how a logical binary left shift moves bits left and appends zeros on the right, multiplying the number by two to the power of the shift count.
Logical Binary Left Shift Operation
1.1 Number systems: Logical Binary Right Shift Operation8:19
Explore the logical binary right shift operation, showing how shifting bits right by B divides a number by 2^B and rounds down, with practical examples such as 179 and 6.
Logical Binary Right Shift Operation
1.1 Number systems: Two's complement9:22
Master two's complement and eight-bit integer representations, converting decimals to binary, inverting bits, and adding one to represent negatives, with the most significant bit indicating sign.
Two's complement.
1.1 Number systems: Positive binary or denary integer to a two’s complement.4:37
Learn how to convert a positive denary integer to an eight-bit two's complement and how to recover a positive decimal from a two's complement by binary-to-decimal conversion.
1.1 Number systems: Negative binary or denary integer to a two’s complement1:50
Convert a negative integer to two's complement by converting to binary, inverting the bits, and adding one, as demonstrated with -25.

Requirements

No Programming Experience Needed.

Description

This Course is meant for students of:

Cambridge IGCSE - Computer Science - 0478

Cambridge IGCSE - Computer Science (9-1) - 0984

Cambridge O Level - Computer Science - 2210

But, Additionally it can also be taken by students of:

Cambridge International AS & A Level - Computer Science - 9618

AP Computer Science A Level Students

AP Computer Science Principles Students

IB Diploma: CS Students

CBSE/ICSE Board Students.

In This Course we exclusively focus on the essential topic of Number Systems, which forms a significant part of Paper 1 in the IGCSE/O level Computer Science syllabus. This course offers an in-depth exploration of Number Systems, providing a solid foundation in this fundamental concept.

We start with a thorough examination of Number Systems, including binary, decimal, and hexadecimal systems. Students will delve into the intricacies of how computers use these systems to represent data and perform various operations.

Our course ensures a comprehensive understanding of Number Systems, allowing students to grasp their significance in the context of computer science and technology. We provide detailed explanations, examples, and practical exercises to reinforce learning.

By the end of this course, students will have a strong grasp of Number Systems, which is a critical component of Paper 1 in the Cambridge IGCSE Computer Science examination. Whether you are aiming for grades 9 in IGCSE or planning to pursue further studies, this course will equip you with the knowledge and skills you need to excel in this specific area of computer science.

Please note that this course is tailored specifically for Number Systems and is suitable for students taking Cambridge IGCSE, Cambridge IGCSE (9–1), and Cambridge O Level courses. We wish you success in your journey to mastering Number Systems in IGCSE Computer Science.

Who this course is for:

Cambridge IGCSE Computer Science (9-1) - 0984 Students
Cambridge IGCSE Computer Science - 0478 Students
Cambridge Computer Science O Level (2210) Students
Cambridge International AS & A Level (9618) Students
AP Computer Science A Students
AP Computer Science Principles Students
IB Diploma Programme: Computer Science Students
CBSE Board Students
IGCSE Board Students

Mastering Cambridge IGCSE/O Computer Science: Number Systems

What you'll learn

Explore related topics

Course content

Syllabus overview2 lectures • 2min

Paper 1 – Computer Systems: Data representation12 lectures • 1hr 3min

Requirements

Description

Who this course is for: