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Ace Blakeburn
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Since December 2024
Instructor since December 2024
A-level & GCSE Computer Science tutor. In person - Manchester city centre
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From 30 £ /h
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Do you live in Manchester and are you aiming to do well in your GCSE or A-level Computer Science or programming coursework or exams? Here’s why I’m the right tutor for you:

FIRSTHAND EXPERIENCE
As an undergraduate studying Software Engineering at Manchester Metropolitan University (MMU), I have successfully navigated the challenges of Computer Science at both GCSE and A-level. My recent firsthand experience with these exams means I know what it takes to do well and can guide you effectively.

EMPATHY & PERSONALISED LEARNING
Having faced and overcome my own learning challenges, I understand how important it is to find the right approach for every student. I’ll work with you at your pace, using strategies that suit your learning style, to help you achieve your goals in a supportive and encouraging environment.

SUBJECT EXPERTISE
I can cover everything from basic algorithms and Python programming to more advanced topics like data structures, networks, and computational thinking. I will work with you to simplify complex topics, making them easy to understand and apply.

EXAM-FOCUSED APPROACH
I have a good understanding of the GCSE and A-level curriculums, as well as the exam requirements. I can provide clear, practical advice on how to tackle theory questions, master coding challenges, and maximise your marks with effective revision techniques.

PASSION FOR TEACHING TECHNOLOGY
I’m passionate about making technology approachable and inspiring confidence in others. My goal is to spark your interest and develop your skills so you can thrive in today’s digital world.

Let’s work together to turn your computer science ambitions into achievements. Whether you're aiming to improve grades, solidify your understanding, or gain confidence in programming, I’m here to help you.
Extra information
I work best in an in-person environment, so if you live in the Manchester area we can meet for our sessions.
Please bring your laptop if you have one and a notebook and pen.
Location
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At teacher's location :
  • Metropolitan University, John Dalton, Manchester, UK
About Me
I am a student at Manchester Metropolitan University, in my first year studying software engineering.
I have studied computer science since I was 14 years old and hope to become a software developer in the games industry when I graduate.
I have first hand experience of learning challenges and therefore want to help others succeed.
Education
I am currently a 1st year BSc software engineering undergraduate student at MMU.
I grew up and went to school in Cornwall where I had a varied experience of the education system both in school, with tutors and from home.
Experience / Qualifications
A-level Computer Science - AQA - studied at school and passed summer 2024
GCSE Computer Science - OCR - studied at school and passed exam during Covid
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Student level
Beginner
Intermediate
Duration
30 minutes
45 minutes
60 minutes
The class is taught in
English
Skills
Availability of a typical week
(GMT -05:00)
New York
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At teacher's location
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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Computer Science
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Computer Programming
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1st lesson is backed
by our Good-fit Instructor Guarantee
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All my success in Computer Science is due to my teachers, who knew how to inspire my passion and turn any concept into an easy-to-understand story. That's why I decided to help others further to elucidate the secrets of Computer Science and to smile with relief in the exam hall when they notice that they know how to solve all the subjects perfectly.

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Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data.

Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance.

Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor.

Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python.

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Hamza
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Good-fit Instructor Guarantee
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Contact Ace Blakeburn