Duration of the online course: 2 hours and 9 minutes
New
Build a solid algebra foundation and gain confidence solving problems step by step in this free online course focused on the essentials you need for school, exams, and future STEM studies. Whether you feel stuck with equations or want to understand what is really happening behind common procedures, this training helps you move from memorizing rules to reasoning clearly and checking your results with certainty.
You will start by sharpening your handling of algebraic equations, including quadratic equations and the meaning of the discriminant when analyzing the number and type of solutions. From there, you will develop a clear approach to linear equations, learning how to transform them into equivalent forms without changing their solution set. This ability becomes crucial when you move from single equations to systems, where identifying the nature of solutions matters as much as calculating them.
Next, you will work with structured techniques for solving linear systems, especially the Gauss method, including situations with parameters where solutions can change depending on given values. This is a practical skill that supports problem solving across science, economics, and technology. You will then connect these ideas to matrices: what they are, how to operate with them correctly, what makes a matrix regular or invertible, and how matrix equations are formulated and solved in a consistent way.
As you progress, determinants and rank provide the tools to understand when a system has a unique solution, infinitely many, or none, and why. You will also explore inverse matrices, adjoints, and Cramer’s rule, gaining an intuitive view of what conditions guarantee solvability in matrix form. Throughout the course, the included exercises reinforce learning by prompting you to interpret results, avoid common mistakes, and strengthen mathematical maturity.
2 hours and 9 minutes of online video course
Digital certificate of course completion (Free)
Exercises to train your knowledge
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