Cambridge IGCSE & A Level Computer Science - Coding, Concepts & Exam Practice

From 18 £ /h

Learn Computer Science through hands-on lessons that cover both theory and programming.
I offer regular lessons to build your understanding of coding (Python/Java) and computer systems, plus exam-focused sessions for IGCSE (0478) and A Level (9618) students.

You’ll learn to:

Understand theory topics like algorithms, logic gates, and networks

Write, test, and debug programs step-by-step

Solve structured past paper questions confidently

Prepare effectively for both Paper 1 (Theory) and Paper 2 (Programming)

Lessons are interactive, practical, and tailored to your school progress and exam goals.

Location

Online from Sweden

About Me

Hi! I’m Mazuba, a dedicated and experienced Cambridge IGCSE and A Level tutor specializing in Physics, Mathematics, and Computer Science. I have been teaching for over 3 years at two well-established schools, supporting students in mastering their school syllabus as well as excelling in Cambridge exams.

My teaching approach is student-centered and practical, focusing on both conceptual understanding and exam skills. I guide students through difficult topics step-by-step, using clear explanations, worked examples, and past paper practice to ensure they feel confident and prepared.

I recently attended a Cambridge Teachers’ Workshop organized by AIEC (African International Education Centre - Zambia Ltd), which strengthened my skills in delivering lessons that are fully aligned with Cambridge standards and exam expectations. This experience enables me to provide students with strategies, tips, and techniques that help them achieve higher grades.

In my lessons, you can expect:

Concept lessons to build a solid understanding of topics

Problem-solving sessions for Mathematics, Physics, and Computer Science

Step-by-step past paper solving to master exam techniques

Homework support and exam revision strategies tailored to your needs

All lessons are conducted online via Zoom or Google Meet, allowing me to teach students across Europe, Africa, and worldwide. I am passionate about making learning enjoyable and effective, helping students build confidence, skills, and academic success.

Whether you are aiming to improve your grades, strengthen weak areas, or prepare for Cambridge exams, I am here to guide you every step of the way.

Education

The Copperbelt University - Bachelor of Science in Physics (2023)
Graduated with a strong foundation in Physics, Mathematics, and related scientific disciplines, equipping me with the knowledge and skills to teach both IGCSE and A Level students effectively.

Cambridge Teachers’ Workshop - African International Education Centre (AIEC), Zambia (2025)
Completed a specialized Cambridge teaching workshop, focused on best practices for delivering lessons aligned with Cambridge IGCSE and A Level syllabuses, exam preparation strategies, and student-centered teaching methods.

This combination of formal education and specialized teacher training allows me to provide students with lessons that are concept-driven, exam-focused, and tailored to individual learning needs.

Experience / Qualifications

I have over 3 years of teaching experience, working with Cambridge IGCSE and A Level students in Physics, Mathematics, and Computer Science.
During this time, I have taught at two well-established schools, helping students prepare for both internal assessments and Cambridge final exams.

Recently, I attended a Cambridge Teachers’ Workshop organized by AIEC (African International Education Centre - Zambia Ltd), which enhanced my skills in delivering Cambridge-aligned lessons and effective exam preparation methods.

My teaching approach focuses on:

Building strong conceptual understanding

Step-by-step problem-solving and past paper practice

Supporting students according to their pace and syllabus needs

I have successfully guided students to improved confidence and higher grades through personalized, structured tutoring.

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

English

Skills

Computer science

Computer programming

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

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Lessons focus on:

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Regular support: Homework help, concept reinforcement, and confidence building

My teaching approach is interactive and student-centered, ensuring that every lesson is tailored to the student’s pace and learning needs. All lessons are conducted online via Zoom or Google Meet, allowing students from anywhere to access quality Cambridge tutoring.

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Regular concept teaching and homework support

Step-by-step past paper question solving

Simplified explanations of key principles and equations

Tips for interpreting and analyzing data

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Control or manage your own hardware?

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Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

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✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

Curriculum & Pedagogical Experience:
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🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

Professional Impact:
📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
📌 Developed interactive lesson plans integrating real-world applications of technology.
📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
📌 Guided students in project-based learning, including app development and website design.

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1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?

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