Online Mathematics Courses – Online Mathematics Courses by Professionals

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The courses are aimed at anyone who wants to learn Algebra, Analytics and Calculus from the basics to the latest lessons in the program. We cover everything, so even if you're starting he program , you'll be able to quickly jump in.

Owner

Jonathan Borba

What Will You Get From OUR EBooks?

The ebooks course covers the linear algebra that an engineer should know. The mathematics in this ebooks is presented at the level of an advanced high school student, but typically students should take this courses after completing a university-level single variable calculus course. There are no derivatives or integrals in this ebooks, but students are expected to have attained a sufficient level of mathematical maturity. Nevertheless, anyone who wants to learn the basics of matrix algebra, analytics and calculus are welcome.

From beginner to graduate

The eBooks contain 38 chapters, with a few problems to solve after each chapter.

Easy to start and stop

Lear at your own speed and convenience, no rush.

eBooks are in a portable PDF format.

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You can prepare other online courses progressively.

our courses

We mainly provide 3 mathematical courses in form of eBooks.

You can also subscribe for a live session with one of our professional institutors .

Algebra

The Algebra course, often taught in the 9th grade, covers Linear equations, inequalities, functions, and graphs; Systems of equations and inequalities; Extension of the concept of a function; Exponential models; and Quadratic equations, functions, and graphs.

Calculus

Calculus course is covering real numbers, functions, continuity and limits, derivatives, curve sketching, optimization areas between curves, applications of the derivative, anti-derivatives, integrals, and areas.

Analytics

Analytics covers essentials of mathematical probability, random variables, distributions, Bayes Theorem, probability mass functions and CDFs, joint distributions and expected values.

Geometry

This topic involves shapes, lines, angles, and measurement. It covers basic principles such as congruence and similarity, as well as more advanced topics such as trigonometry and the Pythagorean theorem.

Probability and Statistics

These topics involve understanding chance and variability in data. Probability deals with the likelihood of events, while statistics involves collecting, analyzing, and interpreting data

Number Theory

This topic explores the properties of numbers and their relationships. It includes prime numbers, divisibility rules, and the famous Riemann hypothesis.

Combinatorics

This topic deals with counting techniques and combinations. It includes permutations, combinations, and the famous Pigeonhole principle.

Graph Theory

This topic involves the study of networks and connections. It includes understanding graphs, trees, and networks and their applications.

Differential Equations

This topic deals with mathematical models that involve rates of change. It includes topics like first-order differential equations and linear differential equations.

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testimonials

happy student

Very well-prepared and presented course on matrix/linear algebra operations, with emphasis on engineering considerations. Lecture notes with examples in PDF form are especially helpful.

vasily koloda vasily coloda

Very in-depth class for matrix algebra. I am a biochemistry student and have learned this in the past but re-taking this online course again has revamped my learning for linear algebra.

John Miller John Miller

I have learnt the preliminary knowledge of vector spaces and eigen value problem that will help me to study my Quantum information quite well.Thank you sir for such a wonderful course.

Rabie Madaci Rabie Madaci