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Year 12 Computer Science Tuition

Master advanced programming and algorithms

Basics to Advanced
GLECTA Learning

  • Category : A-Level
  • Type : Tuition Classes
  • Year Applicable : Suitable for Year 12 Students
  • Difficulty Level : Advanced
  • Syllabus: Covers A-level topics such as programming, algorithms, computer architecture, and data structures.
  • Resources : Interactive programming exercises, A-level exam preparation guides, and project-based learning materials.
  • Flexible Scheduling: Weekly sessions customised to student availability.
  • Focus on equipping students with problem-solving, computational thinking, and coding skills essential for A-level exams and beyond.
  • Personalised Learning Path: Individual progress tracking and feedback to ensure concept mastery.

  • 1. Introduction to Programming and Computational Thinking

  • 2. Data Structures and Algorithms

  • 3. Computer Systems and Architecture

  • 4. Networking and Security

  • 5. Database Management

  • 6. Practical Assessments and Project Development


  • Session 1: Programming Fundamentals

    Activities:

    • Learning Python basics: variables, data types, and control structures.
    • Developing simple programs to solve mathematical problems.
    • Debugging and testing code for accuracy.

    Outcome: Build a solid foundation in programming with Python.

  • Session 2: Algorithms and Data Structures

    Activities:

    • Understanding sorting and searching algorithms (e.g., Bubble Sort, Binary Search).
    • Exploring data structures like arrays, stacks, and queues.
    • Writing algorithms to solve practical problems.

    Outcome: Develop computational thinking and problem-solving skills.

  • Session 3: Computer Architecture

    Activities:

    • Studying the components of a computer system: CPU, memory, and I/O devices.
    • Exploring how instructions are processed in the fetch-decode-execute cycle.
    • Practical: Simulating the working of a basic computer system.

    Outcome: Gain a thorough understanding of how computers operate at a hardware level.

  • Session 4: Networking and Cybersecurity

    Activities:

    • Learning network topologies, protocols, and IP addressing.
    • Understanding encryption, firewalls, and cyber threats.
    • Practical: Configuring a basic network and securing it against threats.

    Outcome: Build knowledge of networking concepts and security measures.

  • Session 5: Databases and SQL

    Activities:

    • Understanding relational database design and normalisation.
    • Learning SQL queries for data retrieval and manipulation.
    • Practical: Designing and querying a sample database.

    Outcome: Gain proficiency in managing and querying databases.

  • Session 6: Project Development and Exam Preparation

    Activities:

    • Developing a mini-project combining programming and database concepts.
    • Reviewing past papers and practicing exam questions.
    • Feedback sessions to address individual challenges.

    Outcome: Build confidence in applying concepts to real-world problems and excelling in A-level exams.


  • 1. Programming Fundamentals

    Learn coding basics, debugging, and problem-solving in Python.

  • 2. Algorithms and Data Structures

    Explore key algorithms and data structures used in computer science.

  • 3. Computer Systems and Architecture

    Understand how computers process instructions and manage resources.

  • 4. Networking and Security

    Gain insights into network design and cybersecurity fundamentals.

  • 5. Database Management

    Learn to design, query, and manage databases using SQL.


  • A-level Computer Science textbooks and revision guides.
  • Access to online coding platforms and sample projects.
  • Mock exams and detailed feedback reports.

  • 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.


  • 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.

This Year 12 Computer Science course focuses on advanced programming concepts, data structures, and algorithms. It prepares students for A-Level exams and careers in technology by building real-world problem-solving skills.

£ 15.00 £ 25.00
* £99 Registration Fee (will be adjusted in Tuition Fee)

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