MathCode Academy

Master MATLAB & Fortran 95 with hands-on tutorials. From basics to advanced numerical methods.

MathCode Academy: Master Computational Mathematics

Learn MATLAB and Fortran 95 programming through structured tutorials and practical numerical examples—perfect for both beginners and experienced developers building efficient, accurate computational solutions for scientific and engineering applications.

Tutorial Features

• Code samples with syntax highlighting
• Clear, concrete explanations and practical applications
• Step-by-step path from basics to advanced numerical methods
• Performance optimization techniques and computational best practices
• In-depth coverage of mathematical algorithms and scientific computing patterns

Learning Units

MATLAB Track:

1. Introduction & Basics
2. Vectors & Matrices
3. Control Flow Structures
4. Functions & Scripts
5. I/O & File Operations
6. Plotting & Visualisation
7. Image Processing
8. Signal Processing
9. Optimisation Methods
10. Statistics & Machine Learning
11. PDEs with FFT (Spectral Methods)
12. Symbolic Mathematics

Fortran 95 Track:

1. Array Operations & Statistics
2. Matrix Multiplication & Linear Algebra
3. Gaussian Elimination & System Solving
4. Numerical Integration Methods
5. Root Finding Algorithms
6. Euler's Method for ODEs
7. Heat Equation & Finite Differences
8. Eigenvalue Methods (Power Method)
9. Monte Carlo Simulations
10. Least-Squares Fitting & Regression
11. Fourier Series Analysis
12. Parallel Computing with Coarrays

App Features

• Computational mathematics-focused, structured tutorials

• MATLAB Cheatsheet – quick reference for essential syntax and core concepts

• MATLAB Flashcards – 360 targeted flashcards across 12 MATLAB units

• F95 Cheatsheet – quick reference for essential syntax and core concepts

• F95 Flashcards – 360 targeted flashcards across 12 F95 units

• 30 unique coding challenges per learning unit

• 100 MATLAB programming units covering core topics from basics to essentials

• 100 Fortran programming units covering core topics from basics to essentials

• 12 custom themes – personalise your interface

• Support for 15 interface languages for global accessibility

• Daily coding challenge—one new numerical problem every day

• Built-in progress tracking

• Full offline access—mathematical programming lessons anytime, anywhere

• Ad-free, distraction-free learning environment

Intended Audience

• Scientific computing developers
• Engineering students & professionals
• Research scientists & mathematicians
• Data analysts & computational researchers
• MATLAB and Fortran programmers

Start your journey to computational mathematics mastery today—learn, practise, and master scientific programming with confidence.