Free public beta · no account needed
University-level courses in orbital mechanics and numerical analysis. Every lesson has derivations you can follow, an interactive visualization, a quiz and Python labs you run in the browser — and in Orbital Mechanics, a film to open it.
Taught by Shoaib Aziz · English · Both courses free in full during the beta
Courses
Each one runs from the first idea to methods used in real engineering work, one derived result at a time.
Aerospace
Newton’s laws to interplanetary departure: elements and frames, Kepler’s equation, manoeuvres, perturbations, Lambert’s problem and patched conics — each lesson opens with a film.
Computational Math
How computers really do mathematics: rounding and stability, equations and linear systems, eigenvalues, quadrature, ODEs, PDEs and the finite element method — with every formula derived.
How it works
The same rhythm in every lesson, so you always know what comes next.
Each lesson opens with a real event — a mission, a failure, a discovery. In Orbital Mechanics it is a film.
The theory, with every formula derived on the page. No result appears from nowhere.
An interactive visualization: move the sliders and watch the mathematics respond.
A quiz that explains every answer, so a wrong one still teaches you something.
Python labs with NumPy and SciPy that you write and run in the browser, checked automatically.
Your instructor
Every Orbital Mechanics lesson opens with a film Shoaib presents, from Newton’s Moon test to the burn that leaves Earth for another planet. The films are also on YouTube; the courses here add the derivations, visualizations, quizzes and labs.
Coming soon
Tell us which one you want first. We will email you once when it opens, and nothing else.
Electronics
Fundamentals of design and analysis — from diodes to op-amps to complete systems
Civil Engineering
Design of beams, slabs, columns, and foundations per IS 456:2000 — with Python labs
Civil Engineering
Open channel flow, gradually varied flow, hydraulic jumps, turbines, and pumps — with Python labs
Electronics
Thyristors, converters, choppers, inverters, motor drives — from device physics to industrial applications, with Python labs
EE / Signal Processing
Fourier, Laplace, z-transform, digital filters, sampling — from first principles to real-world signal processing
Electronics
Number systems, logic gates, Boolean algebra, combinational & sequential circuits, microprocessors — with Python labs
Aerospace
Gas dynamics, Brayton cycles, nozzles, combustion, and engine matching — from first principles to GE9X and beyond
Aerospace / Controls
Trajectory optimization, convex programming, SCP, and computational guidance for aerospace vehicles
Aerospace / Navigation
From dead reckoning to GNSS — time systems, satellite orbits, GPS signals, positioning, and high-precision augmentation
FAQ
Yes. During the public beta both live courses are free in full — films, theory, quizzes and labs.
No. Open a course and start. Sign in only if you want your progress saved across devices.
First-year university calculus and some physics. The labs give you starter code and hints, so a little Python is enough to begin.
English for now. More languages are planned.
The films, theory and quizzes work on a phone. The Python labs are much easier on a computer.
No account, no payment. Pick a course and begin.
