Give Your Students a Head Start with Outlier STEM Dual Enrollment Courses
Careers in science, technology, engineering, and mathematics (STEM) are among the fastest growing and highest paying careers in the U.S. (Bureau of Labor Statistics) Prepare your students for a successful future with STEM college courses worth high school and college credit.
Transform your high school classroom into a STEM college lecture hall
Real College Credit
Put your students on a STEM college track with accredited courses worth actual college credit from the University of Pittsburgh, a top 50 global school. (U.S. News and World Report, 2022 Rankings)
Quality + Support
Your students deserve the best: Toprated instructors. Cinematic lectures. Masterybased learning. Unlimited tutoring. All designed to maximize their success.
Ultimate Flexibility
It’s never been easier to set up your students and teachers for success with turnkey online courses that flex to fit your school schedule.
Browse the Course Catalog
Calculus I
The Mathematics of Change
Intro to Statistics
How Data Describes Our World
Precalculus
Master The Building Blocks of Calculus
Computer Science I
Code The Future
College Algebra
Math Rules Everything Around Us
Essential STEM Concepts and Techniques Needed for College Credit (and then some!)

Calculus I

Intro to Statistics

Precalculus

Computer Science I

College Algebra
Key Concepts Covered

Functions and Limits
 Representing, modeling, and transforming functions
 Exponential, inverse, and logarithmic functions
 Tangents and instantaneous velocity
 Limits and continuity of functions

Differentiation
 Differentiating polynomial, exponential, logarithmic, hyperbolic, and trigonometric functions
 The product and quotient rules
 The chain rule
 Implicit differentiation
 Related rates
 Linearization and differentials

Applying Differentiation
 Finding maximums and minimums
 Derivative tests
 Indeterminates and L'Hospital's Rule
 Sketching curves
 Using graphing tools
 Optimization
 Antiderivatives

Integration
 Approximating area and distance
 Definite and indefinite integrals
 The fundamental theorem of calculus
 The substitution rule

Applying Integration
 Finding areas between curves
 Volume by integration
 Calculating work
 The mean value theorem for integrals
Key Concepts Covered

Statistics and Data
 The statistical process
 Data and sampling
 Experimental design and ethics
 Frequency distributions, histograms, box plots, and scatter plots
 Measures of center and spread

Probability
 Rules of probability
 Contingency tables
 Random variables and probability distributions
 Discrete random variables
 Binomial distributions

Continuous Random Variables and Confidence Intervals
 Continuous random variables and the uniform distribution
 The normal distribution
 The law of large numbers
 The central limit theorem
 Estimating confidence intervals using the normal distribution, the student’s tdistribution, and population proportions

Hypothesis Testing
 Type I and II errors
 Making decisions about hypotheses
 Matched samples, paired samples, and independent samples

Other Statistical Analyses
 The chisquare distribution
 Correlation coefficients
 Finding significance
 Linear equations and linear regression
 ANOVA testing
 The fdistribution and the fratio
Key Concepts Covered

Numbers, Functions, and Graphs
 Real numbers
 Exponents and scientific notation
 Roots and complex numbers
 The rectangular coordinate system
 Functions
 Rates of change
 Domain and range

Equations, Inequality, and Manipulating Functions
 Linear, polynomial, and quadratic equations
 Other equations
 Inequalities
 Manipulation, transformation and composition of functions
 Inverse functions

Graphing Functions
 Linear, polynomial, and rational functions
 Systems of linear functions

Exponential Functions
 Exponential growth and decay
 Base e
 Exponential and logarithmic equations

Circular Geometry and Trigonometry
 Angles
 The unit circle
 Graphing sine and cosine Functions
 Right triangle trigonometry
 Inverse trigonometric functions
 Trigonometric equations and identities
 Polar coordinates and conic sections
 Introduction to conics
Key Concepts Covered

Basics of Computer Science
 The computer science problemsolving process
 Java and other programming languages
 Basic components of a computer
 Syntax and semantics
 Keywords, identifiers, literals, types, and variables
 Declaration and assignment
 Numerical and comparison operators

Command Flow Structures
 if, else, else if, and nested if statements
 while, for, dowhile, enhanced, and nested loops
 Variable scoping
 Defining and calling methods
 Method signatures and overloading
 Void and nonvoid methods
 Passing by value

Data Structures
 Declaring, traversing, and editing arrays
 Multidimensional arrays
 Defining, comparing, and manipulating strings
 Common String methods
 Declaring, traversing, and editing ArrayLists
 ArrayList methods
 Binary search
 Ethics of data collection and data privacy

Objects, Classes, and Inheritance
 Defining and creating classes and objects
 Constructor, main, accessor, and mutator methods
 Data visibility
 Libraries and classes
 Class hierarchies
 Overriding methods
 Polymorphism
 The Object class

Error Handling, Exceptions, and Recursion
 Error handling
 Defensive programming
 Enumerated types
 Libraries and classes
 Catching, throwing, and creating exceptions
 Recursive methods
 Selection sort, insertion sort, Quicksort, and merge sort
Key Concepts Covered

Numbers, Functions, and Graphs
 Real numbers
 Exponents and scientific notation
 Roots and complex numbers
 The rectangular coordinate system
 Functions
 Rates of change
 Domain and range

Equations, Inequality, and Manipulating Functions
 Linear, polynomial, and quadratic equations
 Other equations
 Inequalities
 Manipulation, transformation and composition of functions
 Inverse functions

Graphing Functions
 Linear, polynomial, and rational functions
 Systems of linear functions

Exponential Functions
 Exponential growth and decay
 Base e
 Exponential and logarithmic equations
School Stories
“I was blown away with how successful our kids were with Outlier.” Jack Wallace, Principal of St. Augustine Prep High School
Read Case StudyFrequently Asked Questions

Are courses completely online?Yes, Outlier courses are 100% online and asynchronous. Your students can learn with any teacher, during any class period—anywhere in the universe with WiFi and a laptop or desktop computer.

What support is available for students and/or teachers?Your students have access to robust support and unlimited tutoring in all math courses. Your teachers get complete visibility into student progress in our Partner Dashboard, including:
 Progress monitoring based on the course syllabus and schedule
 Grade pacing and forecasting based on students’ performance

What is the minimum/maximum enrollment?Outlier courses have unlimited enrollment. So you can mix and match courses to suit your school’s unique needs.

What technology does my school need to take Outlier courses?Each student must have access to technology that meets the technical requirements noted in this Help Center article.

Are there any student eligibility requirements?Students must be at least 13 years old. Students who enroll in an Outlier course should be ready for the academic rigor of collegelevel coursework and carefully consider their existing responsibilities and dedication.

What is the time commitment for Outlier courses?Outlier courses are as academically rigorous as they are engaging. Students can expect to spend about 45 minutes a day (about 5 hours per week), including time at school and at home. We recommend students:
 Have at least one class period in their school schedule dedicated to their Outlier course
 Take only 1 Outlier course at a time

How are Outlier courses structured?Outlier courses are divided into a series of chapters and sections. Each section contains cinematic video lectures and active learning (interactive digital textbook) that help students learn the course content. Some courses also include sample problems or flashcard sets that reinforce their understanding of course concepts and prepare them for exams. Students demonstrate their knowledge on graded assessments like weekly writing assignments, quizzes, midterm exams, and final exams.