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Syed Muhammad Zia
£30/hr
Contact
1st class free
Available
teacher
Available
£30/hr
Contact
First class free
Town/city/borough Swindon, Blunsdon Saint Andrew, Lydiard Tregoze, Stratton Saint Margaret, Upper Stratton, Wroughton
Electronics Lessons
verified Verified data time More than 10 years teaching experience
Price
Price
First class free
£30/hr
£10 extra for travel
Town/city/borough
Usually teaches classes in
Blunsdon Saint Andrew
Lydiard Tregoze
Stratton Saint Margaret
Swindon
Upper Stratton
Wroughton
Level of the lessons
Level of the lessons
Teenagers
Adults
Availability
Mo Tu We Th Fr Sa Su
Morning
Midday
Afternoon
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Electronics & Electrical Engineering Tutor for GCSE, A-Level, BTEC and University — 16+ Years' University Teaching Experience

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With over 16 years' university-level teaching experience, I bring genuine subject mastery to every lesson. I have served as Assistant Professor at UIT University, Karachi, and as visiting faculty across five other institutions, teaching Electrical Machines, Power Electronics, Digital Logic Design, VLSI Design, Microprocessors, Electronic Devices & Circuits, and the supporting Physics and Maths (Calculus, Probability, Numerical Computing).
My biggest strength is turning dense, technical topics into explanations that actually stick. I break every concept down step by step, using worked examples and real circuit diagrams rather than abstract theory, so students build genuine understanding rather than memorising answers for a test.
I have taught across every level of ability, from large mixed-ability undergraduate cohorts to focused one-to-one project supervision, and I am comfortable adjusting my pace and style to whatever gets a particular student to understand a concept fastest. I have supervised over 50 final year student projects, which has sharpened my ability to identify exactly where a learner is stuck and to correct it quickly and clearly.
I also bring real research and industry-facing credibility: I have led curriculum development under Outcome-Based Education and Quality Enhancement frameworks, and published peer-reviewed research spanning machine learning, computer vision and engineering. That means students preparing for exams, coursework or final year projects get insight grounded in current practice, not just textbook theory.
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