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About the Lessons My tutoring supports students across all academic levels, including: School Level • GCSE subjects support • exam preparation • coursework guidance • study techniques Undergraduate Level • essay structure and argumentation • coursework development • research methods • presentation preparation Postgraduate & PhD • thesis structure • research strategy • academic writing improvement • paper preparation Academic Writing Support Many students specifically come to me for help with: essay writing coursework planning dissertation structure thesis writing academic proofreading clarity and argument improvement The goal is always to help you improve your own work and develop strong academic skills. My Teaching Method Every student receives a personalised academic support plan. Step 1 — Diagnostic Session We identify: • your current level • your academic goals • the main difficulties you are facing Step 2 — Personal Study Plan Together we create a plan that may include: • subject understanding • academic writing improvement • exam preparation strategies • research and reading techniques Step 3 — Guided Practice Sessions include: • problem-solving exercises • writing structure development • coursework and essay guidance • feedback and improvement Step 4 — Independent Confidence The goal is that you will learn: • how to organise complex ideas • how to write clearly and persuasively • how to manage academic workloads effectively Who I Work With I typically support: • GCSE students preparing for exams • A-level students needing academic structure • undergraduate students with coursework • MSc and PhD students writing theses • international students developing academic writing skills Subjects I Teach Main subjects: Academic Tutoring Coursework Support Associated subjects: • GCSE Subjects (general academic support) • Essay Writing • Coursework Guidance • Dissertation Support • Thesis Writing • Academic Proofreading • Research Methods • Critical Thinking • Study Skills • Academic Presentation Skills • University Preparation • PhD Mentoring What You Can Expect After working together, students usually gain: clearer academic writing stronger argument structure improved coursework and essays better exam preparation methods greater academic confidence

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Hi, I hope you will be fine. Welcome to my profile. This is Faisal. I am a Lecturer in Data Science at University. Data Science is the advanced field of Computer Science. I have more than 4 years of teaching experience including International level Students from Multiple countries of different levels of education, like, up to the University level. I love education because education is a powerful weapon to change the world. I am hardworking, and I am interested to use my Technical background and Expertise for my students. I teach the students with step-by-step instructions to make their concepts clear. That’s why I always focus on the Quality of Education to make my students and their parents happy. I take quizzes /tests daily and weekly basis. I provide the helping materials. I'm a friendly, happy, and polite person. I really like teaching because I think it’s my passion. I really enjoyed teaching children because they always enjoy my lessons. Lооking fоrwаrd tо Help mоre аnd mоre students tо get better & Quаlity Educаtiоn. Feel free to contact me, Takecare :)

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19Students

Want to learn Revit and AutoCAD for engineering and BIM projects? This course is designed for beginners, university students, and aspiring engineers who want to develop practical skills in electrical design, BIM workflows, and technical drafting. No previous experience is required. Students can also receive help with: - university assignments - BIM and Revit projects - technical drawings - portfolio development - internship preparation Lessons are adapted to the student’s level and learning goals.

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13Students

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance. Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one. What we can cover depending on your goals: Python fundamentals: variables, loops, functions, data structures - Object-oriented programming (OOP) - Data manipulation with pandas and NumPy - Introduction to machine learning with scikit-learn - Database management with SQL - C and Java upon request - MATLAB and R available for engineering/science students Why learn with me? I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now. Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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9Students

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities. The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking. The topics in our lesson include: • Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions • Boolean Algebra: Substitution laws • Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition. • Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures; • Deduction: Valid arguments and proofs; Proofs in predicate logic If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

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4Students

Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty. 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?