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Year 12 Computer Science Tuition

Master advanced programming and algorithms

Basics to Advanced

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GLECTA Learning

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  • 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.

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  • 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


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  • 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.


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  • 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.


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

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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 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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