This course is designed as a self-study program in differential calculus. The content is organized into "chapters" below.
Course calendar.| chapter # | Topics | 
|---|
 | Preface | 
| 0 | The Spreadsheet | 
| 1 | Philosophy, Numbers and Functions | 
| 2 | The Exponential Function and Trigonometric Functions | 
| 3 | Vectors, Dot Products, Matrix Multiplication and Distance | 
| 4 | Area of a Parallelogram, Determinants, Volume and Hypervolume, the Vector Product | 
| 5 | Vectors and Geometry in Two and Three Dimensions | 
| 6 | Differentiable Functions, the Derivative and Differentials | 
| 7 | Computation of Derivatives from their Definition | 
| 8 | Calculation of Derivatives by Rule | 
| 9 | Derivatives of Vector Fields and the Gradient in Polar Coordinates | 
| 10 | Higher Derivatives, Taylor Series, Quadratic Approximations and Accuracy of Approximations | 
| 11 | Quadratic Approximations in Several Dimensions | 
| 12 | Applications of Differentiation: Direct Use of Linear Approximation | 
| 13 | Solving Equations | 
| 14 | Extrema | 
| 15 | Curves | 
| 16 | Some Important Examples and a Formulation in Physics | 
| 17 | The Product Rule and Differentiating Vectors | 
| 18 | Complex Numbers and Functions of Them | 
| 19 | The Anti-derivative or Indefinite Integral | 
| 20 | The Area under a Curve and its Many Generalizations | 
| 21 | The Fundamental Theorem of Calculus in One Dimension | 
| 22 | The Fundamental Theorem of Calculus in Higher Dimensions; Additive Measures, Stokes Theorem and the Divergence Theorem | 
| 23 | Reducing a Line Integral to an Ordinary Integral and Related Reductions | 
| 24 | Reducing a Surface Integral to a Multiple Integral and the Jacobian | 
| 25 | Numerical Integration | 
| 26 | Numerical Solution of Differential Equations | 
| 27 | Doing Integrals | 
| 28 | Introduction to Electric and Magnetic Fields | 
| 29 | Magnetic Fields, Magnetic Induction and Electrodynamics | 
| 30 | Series | 
| 31 | Doing Area, Surface and Volume Integrals | 
| 32 | Some Linear Algebra | 
| 33 | Second Order Differential Equations |