Minds R Lab

Mathematics that answers back

Interactive university courses in differential equations, linear algebra and calculus — worked examples you unfold step by step, practice that tells you why an answer is wrong, and a tutor that has read the same pages you have.

$$\frac{dy}{dx} = f(x)\,g(y) \quad\Longrightarrow\quad \int\frac{dy}{g(y)} = \int f(x)\,dx$$

Every method on this platform is taught the same way: where it comes from, when it applies, and what it looks like when it goes wrong.

Built for the way people actually learn

Not a PDF with a login. Each topic is written to be worked through.

Worked examples, unfolded

The problem is visible; the solution stays closed until you have tried it. Reading a solution is not the same as solving one.

Practice that explains

Every question comes back with the reasoning, not just a tick. Answers are checked on the server, so they are not sitting in the page.

An AI tutor with context

It knows which topic you are on and what you have been getting wrong, so you are not explaining yourself from scratch every time.

A profile that follows you

What you have mastered, what needs review, and when. Spaced repetition brings back the things you are about to forget.

Interactive visualisations

Slope fields, phase portraits, mass–spring systems, the heat equation. Change a parameter and watch the mathematics move.

Exam practice from a verified bank

Hundreds of problems, every answer machine-checked with a computer algebra system before it reaches a student.

Courses

Enrolled students sign in and go straight to their course. Ask your instructor for the join code.

MATH 101

Calculus I

Limits and continuity, differentiation and its applications, and indefinite and definite integrals — the first course in the calculus of one variable.

MATH 102

Calculus II

Integration techniques, applications of integrals, sequences, series, and parametric & polar curves.

MATH 213

Differential Equations

Core differential equations course with series solutions.

MATH 217

Mathematics for Engineering

Differential equations with PDEs for engineering students.

MATH 220

Foundations of Mathematics

Logic, methods of proof, sets, relations, functions and cardinality — the course where mathematics stops being calculation and becomes argument.

In preparation.

MATH 231

Linear Algebra

Systems of equations, vector spaces, linear transformations, eigenvalues, orthogonality and least squares, and the singular value decomposition.

MATH 285

Mathematics for Electrical Engineering

Differential equations with complex numbers for electrical engineering students.

Dr. Mohamed Mabrok

Department of Mathematics and Statistics, Qatar University.

This platform is built, funded and taught by one person, for his own students — which is why it is shaped around teaching rather than around administration. Everything here has been used in a real classroom before it was made general.