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IGCSE Computer Science

Learn About The Subject

IGCSE Computer Science helps students develop a deep understanding of the fundamental principles of computational thinking and how computers and digital devices operate. The course explores concepts of algorithms, data structures, programming, hardware and software principles, and the impact of computer science, aiming to develop logical and creative problem-solving skills.

Common Challenges When Learning IGCSE Computer Science

  • Difficulty with algorithmic & logical thinking: Needing to design and express problem-solving steps systematically, accurately, and efficiently.
  • Challenge in programming skills: Requiring mastery of the syntax and command structures of a programming language and developing debugging skills.
  • Requirement to understand abstract concepts: Needing to grasp principles of data representation (binary, hexadecimal), computer architecture, and networks.
  • Pressure of problem-solving & practical application: Effectively applying theory and programming skills to complete problems and projects as required.

Course Content

1.1: Number systems
1.2: Text, sound and images
1.3: Data storage and compression
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2.1: Types and methods of data transmission
2.2: Methods of error detection
3.1: Computer architecture
3.2: Input and output devices
3.3: Data storage
3.4: Network hardware
4.1: Types of software and interrupts
4.2: Types of programming language, translators and integrated development environments (IDEs)
5.1: The internet and the world wide web
5.2: Digital currency
5.3: Cyber security
6.1: Automated systems
6.2: Robotics
6.3: Artificial intelligence
7.1: Algorithm design and problem-solving
8.1: Programming concepts
8.2: Arrays
8.3: File handling
9.1: Databases
10.1: Boolean logic
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Set Learning Objectives

Set academic goals with a clear learning roadmap.

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Create A Learning Path

Develop a detailed and structured study plan.

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Implement And Optimize

Teachers provide close guidance and adapt flexibly to maximize learning outcomes.

MEET THE TEACHING TEAM

Dedicated Team Of Teachers Ready To Support Your Learning Journey

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Tuan Nguyen
  • Master of Science in Optics and Photonics
  • National Central University, Taiwan

Teaches:

  • Math
  • Physics
  • Science
  • English
  • Chinese

Curriculum:

  • IBDP
  • AP
  • IGCSE
  • A-level
  • SSAT
  • SAT
  • ACT
  • GMAT
  • GRE
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Duy Nguyen
  • Bachelor's Degree of International Business
  • University of Kent in Canterbury, UK

Teaches:

  • Business
  • Economics
  • English Language
  • TOK (Theory of Knowledge)

Curriculum:

  • IBDP
  • AP
  • IGCSE
  • A-level
  • SSAT
  • SAT
  • ACT
  • GRE
  • GMAT
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Thuy Nguyen
  • BA in English Linguistics and Literature
  • University of Social Sciences and Humanities, Vietnam National University

Teaches:

  • Physics
  • Biologys
  • Chemistrys
  • Math
  • English
  • Literature
  • History
  • Geography
  • Chinese
  • Vietnamese

Curriculum:

  • IBDP
  • AP
  • IGCSE
  • O-level
  • A-level
  • SSAT
  • SAT
  • ACT
  • GRE
  • GMAT
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Tra Nguyen
  • Master of Energy and Environmental Management
  • University of Twente, Netherlands

Teaches:

  • Math
  • Biologys
  • ESS
  • Science
  • English
  • STEM

Curriculum:

  • IBDP
  • AP
  • IGCSE
  • A-level
  • O-level
  • SSAT
  • SAT
  • ACT
  • GRE
  • GMAT
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Tin Nguyen
  • PhD Degree in Chemistry & Chemical Biology
  • Γ‰cole Polytechnique FΓ©dΓ©rale de Lausanne (EPFL), Switzerland

Teaches:

  • Physics
  • Math
  • Chemistrys
  • Science
  • English

Curriculum:

  • IBDP
  • AP
  • IGCSE
  • A-level
  • SSAT
  • SAT
  • ACT
  • GMAT
  • GRE
  • IMAT
  • BMAT
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Hieu Pham
  • Master's in Computational Simulation
  • Vietnamese-German University, HCMC

Teaches:

  • Physics
  • Math
  • Science
  • ICT
  • Computer Science
  • Digital Society
  • STEM

Curriculum:

  • IBDP
  • AP
  • IGCSE
  • A-level
  • SSAT
  • SAT
  • ACT
  • GRE
  • GMAT
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Uyen Vu
  • PhD in Business Administration
  • International University - Vietnam National University HCMC

Teaches:

  • Business
  • Economics
  • Accounting
  • Finance
  • International Finance
  • Fundamental of Financial
  • Management
  • Investment Banking
  • Principles of Accounting

Curriculum:

  • IBDP
  • AP
  • IGCSE
  • SSAT
  • SAT
  • ACT
  • GRE
  • GMAT
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Carolina Rondon
  • Social Education Degree, Jose Maria Vargas University
  • Educational Psychology Specialization, UCV
  • Jose Maria Vargas University

Teaches:

  • Spanish
  • English
  • IB Spanish Language and Literature

Curriculum:

  • IBDP
  • AP
  • IGCSE
  • A-level
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IGCSE Computer Science
Let Intertu Education’s dedicated Teaching team be your trusted companion on the journey to not only achieving your target scoresβ€”but surpassing them and unlocking your full potential.
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Frequently Asked Questions

Frequently Asked Questions About

IGCSE Computer Science

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IGCSE Computer Science (CS) focuses on the fundamental principles of computers, how they work, algorithmic thinking, and programming skills to create software/solutions. In contrast, IGCSE ICT focuses on the effective use of existing information technology applications (such as office software, web, etc.) and understanding their impact on society.
The specific programming language depends on the examination board's syllabus (for example, Cambridge often uses Python and Pseudocode). The course is usually designed to be suitable for students with no prior programming experience; however, having good logical thinking or basic familiarity with programming will be an advantage.
This subject demands logical thinking and the ability to solve problems systematically, which is very close to mathematical thinking. Concepts such as binary number systems, Boolean algebra, and logic are important foundations. Therefore, a good mathematical background will help students grasp CS concepts more effectively.
The IGCSE CS examination usually includes two main written papers. The first paper (Paper 1) focuses on testing theoretical knowledge of computer science concepts (hardware, software, data, networks, security, etc.). The second paper (Paper 2) concentrates on practical problem-solving skills, algorithmic thinking, and programming, often based on a pre-release material or scenario.
This is an extremely solid foundation for most technology-related majors at university, including Computer Science, Software Engineering, Artificial Intelligence (AI), Cybersecurity, Data Science, Robotics, Computer Engineering, Game Development, and many other high-tech fields.
Yes. Intertu Education offers Trial Classes for IGCSE Computer Science. This is an excellent opportunity for you and your parents to directly experience our teaching methods, meet the teacher, and assess suitability before deciding to enroll in a full course. Please contact our counseling department for more information.
The tuition fee for IGCSE Computer Science at Intertu Education depends on the study hour package and the level of support service (Standard, Premium, Platinum) that parents choose, to best meet specific learning needs and goals. To receive a detailed fee schedule and advice on the most suitable study package, please contact Intertu's counseling team directly.
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