Core STEM
Algebra
- Question Everything: Scientific Thinking in Real Life
- Algebra: Elementary to Advanced
- College Algebra
- College Algebra and Problem Solving
Precalculus
- Discovery Precalculus: A Creative and Connected Approach
- Precalculus
- Precalculus through Data and Modelling
- Pre-University Calculus
- Further Mathematics
Calculus
- MathTrackX
- Highlights of Calculus
- Introduction to Calculus
- Single Variable Calculus
- Calculus
- Differential Calculus through Data and Modeling
- Integral Calculus through Data and Modeling
- Calculus with Theory
- Multivariable Calculus
- Calculus of Several Variables
- Multivariable Calculus with Theory
- Calculus Applied!
- Applied Calculus with Python
Differential Equations
- Differential Equations
- System Functions and The Laplace Transform
- Honors Differential Equations
- Complex Variables with Applications
- Advanced Calculus for Engineers
Linear Algebra
- Linear Algebra - Foundations to Frontiers
- Advanced Linear Algebra - Foundations to Frontiers
- Linear Algebra
- Linear Algebra with Theory
- Linear Algebra and Applications
- Matrix Methods
- Linear Algebra Review
- Coding the Matrix
Discrete Mathematics
- Introduction to Discrete Mathematics for Computer Science
- Mathematics for Computer Science
- Discrete Mathematics
- Discrete Mathematics and Probability Theory
- Principles of Discrete Applied Mathematics
- Discrete Structures
Analysis
- Introduction to Analysis
- Analysis I
- Real Analysis
- Introduction to Functional Analysis
- Fourier Analysis
- Seminar in Analysis: Applications to Number Theory
- Functions of a Complex Variable
- Introduction to Partial Differential Equations
- Introduction to Numerical Analysis
- Linear Partial Differential Equations
Probability and Statistics
- Statistics: Unlocking the World of Data
- Introduction to Probability
- Introduction to Statistics
- Introduction to Probability and Statistics
- Probability and Random Variables
- Probabilistic Systems Analysis and Applied Probability
- Statistics Fundamentals
- Statistics for Applications
- Fundamentals of Probability
- Probability for Computer Scientists
- A Crash Course in Causality
- Statistical Thinking and Data Analysis
Applied Mathematics
- Principles of Applied Mathematics
- Combinatorial Analysis
- Analytic Combinatorics
- Computational Probability and Inference
- Integral Equations
- Mathematics for Machine Learning
- Matrix Calculus for Machine Learning and Beyond
- Mathematics of Machine Learning
- Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
- Mathematics for Engineers
- Mathematical Optimization for Engineers
- Topics in Mathematics of Data Science
Abstract Algebra
- Algebra I
- Algebra II
- Analysis II
- Geometry and Topology in the Plane
- Introduction to Topology
- Seminar in Topology
- Differential Geometry
- Measure and Integration
- Mathematical Problem Solving (Putnam Seminar)
- Street-Fighting Mathematics
Physics
- How Things Work: An Introduction to Physics
- Pre-University Physics
- Question Reality: Science, Philosophy, a Search for Meaning
- Introduction to Oscillations and Waves
- Introduction to Statistical Physics
- Physics I: Classical Mechanics
- Physics II: Electricity and Magnetism
- Physics III: Vibrations and Waves
Chemistry
- Introduction to Solid State Chemistry
- General Chemistry I: Atoms, Molecules, and Bonding
- General Chemistry II: Chemical Equilibrium, Kinetics, and Transition Metals
- Principles of Chemical Science
- University Chemistry