STEM Fundamentals
Applied Mathematics — Apply mathematical concepts and techniques to solve real-world problems in engineering, science, and technology.
Applied Mathematics
Master the essentials of numerical and symbolic computing to solve technical problems through clear, text-based instruction for absolute beginners.
Applied Mathematics
Master the fundamentals of MATLAB to solve complex mathematical problems, analyze data, and build clear visualizations for engineering and scientific projects.
Applied Mathematics
Refresh your knowledge of linear algebra, complex numbers, and probability to build a solid base for understanding quantum algorithms and circuits.
Applied Mathematics
Learn to transform raw datasets into clear 2D, 3D, and animated visualizations in MATLAB using modern programmatic styling and graphics handles.
Applied Mathematics
Learn to manipulate digital visuals and build interactive tools using MATLAB's robust programming environment.
Applied Mathematics
Build a strong foundation in linear algebra, calculus, and differential equations to confidently model and solve complex engineering problems.
Applied Mathematics
Master essential linear algebra concepts, from matrix operations to eigenvalues, designed specifically to solve real-world engineering and computational problems.
Applied Mathematics
Learn algebraic fundamentals to solve equations, model real-world scenarios, and build the mathematical foundation needed for science, finance, and basic data analysis.
Applied Mathematics
Master the foundational principles of digital imaging used in space exploration, medical diagnostics, and modern media through written explanations and exercises.
Applied Mathematics
Build a strong foundation in MATLAB to solve complex mathematical problems, analyze scientific data, and automate engineering workflows through structured text-based lessons.
Applied Mathematics
Master the basics of MATLAB to write clean code, solve complex mathematical equations, and analyze engineering data with no prior programming experience required.
Applied Mathematics
Master the essential mathematical concepts and algorithms behind routing, social networks, and data relationships through clear, step-by-step written explanations.
Applied Mathematics
Master the core principles of algebra through written explanations and exercises, moving from basic equations to complex mathematical modeling.
Applied Mathematics
Master the foundations of signal analysis, filtering, and transformation to build robust digital systems for audio, communications, and data.
Applied Mathematics
Learn to define, model, and solve complex decision-making problems using linear programming and optimization techniques.
Applied Mathematics
Build a rock-solid mathematical foundation by mastering algebraic equations and inequalities to prepare for advanced studies in calculus, statistics, and data science.
Applied Mathematics
Learn the foundational concepts of signals, systems, and transforms to analyze and process digital data for audio, communications, and modern sensor applications.
Applied Mathematics
Learn to solve complex engineering problems by writing efficient MATLAB programs for root finding, integration, and differential equations.
Applied Mathematics
Learn to solve partial differential equations and model wave phenomena by implementing numerical algorithms from scratch using Python.
Applied Mathematics
Learn the fundamentals of spectral analysis, sound synthesis, and signal transformation to build modern music technology tools through written explanations and code.
Applied Mathematics
Master the mathematical principles of vector spaces, matrices, and linear transformations for data science and engineering.
Applied Mathematics
Learn how analog signals are converted into digital format by mastering sampling theory, aliasing prevention, and reconstruction techniques for modern applications.
Applied Mathematics
Learn how to decompose periodic functions into sine and cosine waves, master half-range series, and understand the mathematical foundations of modern signal processing.
Applied Mathematics
Learn to design and analyze FIR and IIR filters to process digital information and build the foundation for modern communication engineering.
Showing 24 of 239 courses