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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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23Students

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work. Topics include: Python fundamentals through a finance lens (data structures, functions, control flow). Working with financial data and datasets. Performance benchmarking and writing efficient code. Applying concepts from Hilpisch's Python for Finance.

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6Students

If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver. In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition. I teach: • 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use. • 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners. • ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual. As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization. Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.

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11Students

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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6Students

Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.