Precalculus II (saylor.org)

Offered by Saylor.org,
Precalculus II (saylor.org)

Precalculus II continues the in-depth study of functions addressed in Precalculus I by adding the trigonometric functions to your function toolkit. In this course, you will cover families of trigonometric functions, as well as their inverses, properties, graphs, and applications. Additionally, you will study trigonometric equations and identities, the laws of sines and cosines, polar coordinates and graphs, parametric equations and elementary vector operations.

You might be curious how the study of trigonometry, or “trig,” as it is more often referred to, came about and why it is important to your studies still. Trigonometry, from the Greek for “triangle measure,” studies the relationships between the angles of a triangle and its sides and defines the trigonometric functions used to describe those relationships. Trigonometric functions are particularly useful when describing cyclical phenomena and have applications in numerous fields, including astronomy, navigation, music theory, physics, chemistry, and – perhaps most importantly, to the mathematics student – calculus.
In this course, you will begin by establishing the definitions of the basic trig functions and exploring their properties and then proceed to use the basic definitions of the functions to study the properties of their graphs, including domain and range, and to define the inverses of these functions and establish the properties of these. Through the language of transformation, you will explore the ideas of period and amplitude and learn how these graphical differences relate to algebraic changes in the function formulas. You will also learn to solve equations, prove identities using the trig functions, and study several applications of these functions.
Upon successful completion of this course, the student will be able to:

  • measure angles in degrees and radians, and relate them to arc length;
  • solve problems involving right triangles and unit circles using the definitions of the trigonometric functions;
  • solve problems involving non-right triangles;
  • relate the equation of a trigonometric function to its graph;
  • solve trigonometric equations using inverse trig functions;
  • prove trigonometric identities;
  • solve trig equations involving identities;
  • relate coordinates and equations in Polar form to coordinates and equations in Cartesian form;
  • perform operations with vectors and use them to solve problems;
  • relate equations and graphs in Parametric form to equations and graphs in Cartesian form;
  • link graphical, numeric, and symbolic approaches when interpreting situations and analyzing problems;
  • write clear, correct, and complete solutions to mathematical problems using proper mathematical notation and appropriate language; and
  • communicate the difference between an exact and an approximate solution and determine which is more appropriate for a given problem.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

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
Analytic Combinatorics (Coursera) Coursera
Princeton University

Analytic Combinatorics (Coursera)

Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations. All the features of this course are available for free. It does not offer a certificate upon completion.

Sep 7th 2026
5-12 Weeks
Introduction to Mathematical Thinking (Coursera) Coursera
Stanford University

Introduction to Mathematical Thinking (Coursera)

Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years. Mathematical thinking is not the same as doing mathematics – at least not as mathematics is typically presented in our school system. School math typically focuses on learning procedures to solve highly stereotyped problems. Professional mathematicians think a certain way to solve real problems, problems that can arise from the everyday world, or from science, or from within mathematics itself.

Sep 7th 2026
5-12 Weeks
Differential Equations (saylor.org) Saylor Academy
Saylor.org

Differential Equations (saylor.org)

Differential equations are, in addition to a topic of study in mathematics, the main language in which the laws and phenomena of science are expressed. In basic terms, a differential equation is an expression that describes how a system changes from one moment of time to another, or from one point in space to another.

Legacy Course
Self-Paced
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
Beginning Algebra (saylor.org) Saylor Academy
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.

Self Paced
Self-Paced