Beginning Algebra (saylor.org)

Offered by Saylor.org,
Beginning Algebra (saylor.org)

In this course, you will study basic algebraic operations and concepts, as well as the structure and use of algebra. This includes solving algebraic equations, factoring algebraic expressions, working with rational expressions, and graphing linear equations.

You will apply these skills to solve real-world problems (word problems). Each unit will have its own application problems, depending on the concepts you have been exposed to. This course is also intended to provide you with a strong foundation for intermediate algebra and beyond. It will begin with a review of some math concepts formed in pre-algebra, such as ordering operations and simplifying simple algebraic expressions, to get your feet wet. You will then build on these concepts by learning more about functions, graphing of functions, evaluation of functions, and factorization. You will spend time on the rules of exponents and their applications in distribution of multiplication over addition/subtraction.
Upon successful completion of this course, you will be able to:

  • simplify and solve linear equations and expressions, including problems with absolute values and applications;
  • solve linear inequalities, find equations of lines, and solve application problems;
  • add, subtract, multiply, and divide various types of polynomials;
  • factor polynomials, and simplify square roots; and
  • evaluate, simplify, multiply, divide, add, and subtract rational expressions, and solve basic applications of rational expressions.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Numerical Methods for Engineers (saylor.org) Saylor Academy
Saylor.org

Numerical Methods for Engineers (saylor.org)

Numerical methods have been used to solve mathematical expressions of engineering and scientific problems for at least 4000 years. Such methods apply numerical approximation in order to convert continuous mathematical problems (for example, determining the mechanical stress throughout a loaded truss) into systems of discrete equations that can be solved with sufficient accuracy by machine. This course will provide you with an introduction to several of those numerical methods which you may then find opportunity to practice later in the curriculum.

Legacy Course
Self-Paced
Introduction to Computer Science II (saylor.org) Saylor Academy
Saylor.org

Introduction to Computer Science II (saylor.org)

This course is a continuation of the first-semester course titled CS101: Introduction to Computer Science I. It will introduce you to a number of more advanced Computer Science topics, laying a strong foundation for future academic study in the discipline. We will begin with a comparison between Java—the programming language utilized last semester—and C++, another popular, industry-standard programming language.

Self Paced
Self-Paced
Precalculus I (saylor.org) Saylor Academy
Saylor.org

Precalculus I (saylor.org)

Precalculus I is designed to prepare you for Precalculus II, Calculus, Physics, and higher math and science courses. In this course, the main focus is on five types of functions: linear, polynomial, rational, exponential, and logarithmic. In accompaniment with these functions, you will learn how to solve equations and inequalities, graph, find domains and ranges, combine functions, and solve a multitude of real-world applications.

Legacy Course
Self-Paced
Analysis of Algorithms (Coursera) Coursera
Princeton University

Analysis of Algorithms (Coursera)

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

Sep 28th 2026
5-12 Weeks