University
Physics and Mathematical Physics
Mathematical physics, electrodynamics, quantum mechanics, statistical physics, stochastic processes and theoretical methods.
Courses and learning materials
Browse current and future content areas. The structure is prepared for PDF notes, problem sheets, Python notebooks, simulations, Beamer slides and worked examples.
University
Mathematical physics, electrodynamics, quantum mechanics, statistical physics, stochastic processes and theoretical methods.
University / school
Vector calculus, differential equations, Fourier methods, complex numbers, linear algebra and problem-solving strategy.
Engineering
Circuits, signals, transfer functions, frequency response, systems theory and control theory.
Computing
Python, JavaScript, numerical experiments, GitHub, LaTeX, Jupyter notebooks and reproducible workflows.
Data
Data cleaning, plotting, regression, probability, uncertainty, hypothesis testing and interpretation of results.
Business
Business cases, German taxation examples, legal terminology for students and exam-oriented case-study structure.
School exams
School mathematics, school physics, statistics basics, structured revision and exam problem-solving strategy.
PDFs go into assets/pdf/, images into assets/img/, and lecture pages into lectures/.