GLECTA - KS1, KS2, 11Plus (11+), KS3, 12Plus (12+), 13Plus (13+), GCSE & A-Level Learning Excellence

Year 8 Computer Science Tuition

Master intermediate programming and problem-solving

Basics to Advanced

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GLECTA Learning

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  • Category: KS3
  • Type: Tuition Classes
  • Year Applicable: Suitable for Year 8 Students
  • Difficulty Level: Intermediate
  • Syllabus: Aligned with the UK KS3 Computer Science curriculum, covering programming, algorithms, networks, and data representation.
  • Resources: Interactive coding platforms, practice projects, and visual learning tools.
  • Flexible Scheduling: Classes are held on different days of the week, depending on batch and availability.
  • Focus on building computational thinking and problem-solving skills through hands-on learning.
  • Personalised Learning Path: Tailored activities to challenge and inspire students.

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  • 1. Introduction to Computational Thinking: Problem-solving, abstraction, and decomposition.

  • 2. Algorithms: Designing, analysing, and implementing basic algorithms.

  • 3. Programming: Enhancing coding skills using Python or Scratch.

  • 4. Data Representation: Understanding binary, hexadecimal, and how computers process data.

  • 5. Networks: Introduction to how computers communicate.

  • 6. Cybersecurity Basics: Safe online practices and understanding threats.


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  • Session 1: Understanding Computer Systems

    Activities:

    • Introduction to hardware, software, and system architecture.
    • Exploring input, output, and storage devices.
    • Building a block diagram of a computer system.

    Outcome: Understand the components and functioning of computer systems.

  • Session 2: Introduction to Algorithms

    Activities:

    • Learning to write pseudocode for simple tasks.
    • Understanding flowcharts and creating logical sequences.
    • Exploring decision-making with "if-else" structures.

    Outcome: Develop logical thinking and problem-solving skills through algorithms.

  • Session 3: Programming Basics

    Activities:

    • Introduction to a programming language like Python.
    • Writing basic programs using variables and data types.
    • Practising loops and conditional statements.

    Outcome: Gain hands-on experience in fundamental programming concepts.

  • Session 4: Data Representation

    Activities:

    • Understanding binary numbers and their importance in computing.
    • Learning about binary addition and conversions (binary-decimal-hexadecimal).
    • Exploring character encoding like ASCII and Unicode.

    Outcome: Develop an understanding of how data is stored and processed in computers.

  • Session 5: Networking and the Internet

    Activities:

    • Introduction to LANs, WANs, and the Internet.
    • Understanding IP addresses, DNS, and data packets.
    • Exploring network security concepts like firewalls and encryption.

    Outcome: Understand the basics of computer networking and internet functionality.

  • Session 6: Cybersecurity

    Activities:

    • Identifying online threats such as viruses and phishing.
    • Learning about passwords and two-factor authentication.
    • Exploring ways to stay safe online through case studies.

    Outcome: Build awareness of cybersecurity risks and practices.

  • Session 7: Advanced Programming Concepts

    Activities:

    • Introduction to functions and modular programming.
    • Using libraries and debugging techniques.
    • Working on small projects like creating calculators or simple games.

    Outcome: Strengthen programming skills and apply them to projects.

  • Session 8: Practical Projects and Assessments

    Activities:

    • Creating a final project based on learned concepts.
    • Peer reviews and collaborative problem-solving tasks.
    • Preparing for end-of-year assessments with practice tests.

    Outcome: Consolidate learning and prepare for further studies in Computer Science.


Upon enrolment, students will receive detailed schedules and session plans customised to their learning pace.

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  • 1. Computational Thinking

    Master problem-solving and algorithmic thinking skills.

  • 2. Programming Essentials

    Learn to code efficiently in Python, Scratch, or similar languages.

  • 3. Data Representation

    Understand how computers process and store data.

  • 4. Networks and Security

    Explore how networks operate and best practices for staying safe online.


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  • Interactive coding platforms and project files.
  • Lesson handouts and online resources.
  • Monthly progress tracking and feedback.

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  • 1. Biology Essentials

    Understanding ecosystems, food chains, and life cycles.

  • 2. Chemistry Foundations

    Exploring states of matter, chemical changes, and materials.

  • 3. Physics Principles

    Learning about energy, forces, and electricity through experiments.

  • 4. Scientific Thinking

    Engaging in scientific enquiry and developing critical thinking.


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  • Interactive experiment kits for hands-on learning.
  • Worksheets and guides tailored to SATs Science.
  • Progress tracking and reports for parents.

Why Choose Us?

GLECTA Learning has supported over 3000+ children in the last 8 years, ensuring:

  • Proven, effective classes and courses that significantly enhance children's chances of success.
  • Exceptional teaching with small group sizes, guaranteeing personalised attention for each child.
  • Highly experienced, DBS-checked tutors who help identify weaknesses, leverage strengths, and drive noticeable improvements.
  • Transparent, customised feedback throughout the preparation process, guiding you every step of the way in your entrance exam journey.
  • Comprehensive mock exams that simulate real test conditions, preparing students for success.
  • Continuous support and resources to help your child excel in every aspect of their learning journey.

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This course builds on Year 7 Computer Science knowledge, introducing more complex programming and logic-building concepts. Students learn advanced Python, algorithms, and problem-solving through hands-on projects.

£ 15.00 £ 20.00
* £99 Registration Fee (will be adjusted in Tuition Fee)

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