University
Physics and Mathematical Physics
Mathematical physics, electrodynamics, quantum mechanics, statistical physics, stochastic processes and theoretical methods.
Teaching examples
A preview of how I explain difficult material.
This page is the public proof-of-work area of the website. It should collect lecture notes, worked problems, Python notebooks, simulations, Beamer slides and case-study explanations so students can see the teaching style before booking lessons.
Current and planned material
Organized by learning need.
University / school
Mathematics for Physics and Engineering
Vector calculus, differential equations, Fourier methods, complex numbers, linear algebra and problem-solving strategy.
Engineering
Electrical Engineering
Circuits, signals, transfer functions, frequency response, systems theory and control theory.
Computing
Programming and Scientific Computing
Python, JavaScript, numerical experiments, GitHub, LaTeX, Jupyter notebooks and reproducible workflows.
Data
Data Analysis and Statistics
Data cleaning, plotting, regression, probability, uncertainty, hypothesis testing and interpretation of results.
Business
Business and Taxation
Business cases, German taxation examples, legal terminology for students and exam-oriented case-study structure.
School exams
Abitur, A Level, SAT, IB and IGCSE
School mathematics, school physics, statistics basics, structured revision and exam problem-solving strategy.
How to use this page
For students
Browse the examples to decide whether the explanation style fits you. When contacting me, mention which example is closest to your course or exam difficulty.
How to expand it
For future updates
PDFs can go into assets/pdf/, images into assets/img/, and lecture pages into lectures/. Each new example should have a short title, learning goal and contact CTA.
Need a topic that is not listed?
Send the course name, topic, deadline and one representative exercise. I can tell whether it fits private tutoring or a future learning-material page.