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Year 9 Computer Science Tuition

Master advanced programming and computational skills

Basics to Advanced

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GLECTA Learning

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  • Category: KS3
  • Type: Tuition Classes
  • Year Applicable: Suitable for Year 9 Students
  • Difficulty Level: Intermediate to Advanced
  • Syllabus: Aligned with the UK KS3 Computing curriculum, covering programming, algorithms, databases, and computer systems.
  • Resources: Code exercises, visual aids, and interactive tools to support learning.
  • Flexible Scheduling: Classes are held on different days, depending on batch and availability.
  • Focus on problem-solving, logical thinking, and coding proficiency.
  • Personalised Learning Path: Lessons tailored to individual learning goals.

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  • 1. Programming Basics: Python fundamentals and syntax.

  • 2. Algorithms: Problem-solving strategies and flowcharts.

  • 3. Data Structures: Arrays, lists, and dictionaries.

  • 4. Computer Systems: Understanding hardware and software.

  • 5. Databases: SQL basics and data handling.


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  • Session 1: Advanced Programming Concepts

    Activities:

    • Learning to use loops and conditional statements effectively.
    • Exploring data types, variables, and arrays.
    • Writing programs to solve real-world problems.

    Outcome: Build programming proficiency and logical thinking.

  • Session 2: Algorithm Design and Problem Solving

    Activities:

    • Understanding algorithms for searching and sorting.
    • Creating flowcharts and pseudocode for algorithm development.
    • Solving computational problems using step-by-step strategies.

    Outcome: Develop structured approaches to problem-solving.

  • Session 3: Introduction to Data Structures

    Activities:

    • Exploring lists, stacks, and queues with practical examples.
    • Implementing data structures in small coding projects.
    • Understanding the importance of efficient data handling.

    Outcome: Gain foundational knowledge of data structures.

  • Session 4: Web Development Basics

    Activities:

    • Creating basic web pages using HTML and CSS.
    • Adding interactivity with JavaScript for simple applications.
    • Exploring how websites are hosted and accessed.

    Outcome: Learn the basics of building and styling web pages.

  • Session 5: Networking and Cybersecurity Fundamentals

    Activities:

    • Understanding how computer networks function.
    • Exploring basic cybersecurity principles and safe online practices.
    • Identifying common network vulnerabilities and protection methods.

    Outcome: Build awareness of networking and cybersecurity basics.

  • Session 6: Computer Hardware and Logic Gates

    Activities:

    • Identifying key hardware components and their functions.
    • Learning about binary arithmetic and logic gates.
    • Building simple circuits using logic gate simulators.

    Outcome: Gain a deeper understanding of hardware and digital logic.

  • Session 7: Databases and Data Management

    Activities:

    • Understanding database structures and relationships.
    • Writing basic SQL queries to retrieve and manipulate data.
    • Exploring the role of databases in modern applications.

    Outcome: Build foundational skills in database management.

  • Session 8: Exam Preparation and Practice

    Activities:

    • Solving past exam questions and analysing mark schemes.
    • Revising key concepts and topics with practice tests.
    • Developing strategies for time management during exams.

    Outcome: Prepare thoroughly for GCSE Computer Science assessments.


Session plans and materials will be shared upon enrolment.

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  • Python coding exercises and reference guides.
  • Sample datasets for database management tasks.
  • Monthly progress reports and coding 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 Year 9 Computer Science course prepares students for GCSE by introducing advanced programming techniques, algorithms, and computational thinking. Ideal for students aiming to excel in coding and problem-solving.

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

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