Lecture 1 (2.1 A Preview of Calculus)
Lecture 1 (2.2 The Limit of a Function)
Lecture 2 (2.3 The Limits Laws)
Lecture 4 (3.1 Defining the Derivative and 3.2 The Derivative as a Function)
Lecture 5 (3.3 Differentiation Rules)
Lecture 6 (3.4 Derivatives as Rates of Change)
Lecture 6 (3.5 Derivatives of Trigonometric Functions)
Lecture 7 (3.6 The Chain Rule)
Lecture 9 (3.7 Derivatives of Inverse Functions)
Lecture 10 (3.8 Implicit differentiation)
Lecture 11 (3.9 Derivatives of Exponential and Logarithmic Functions)
Lecture 12 (4.1 Related Rates)
Lecture 13 (4.2 Linear Approximations and Differentials)
Lecture 14 (4.3 Maxima and Minima)
Lecture 15 (4.4 The Mean Value Theorem)
Lecture 16 (4.5 Derivatives and the Shape of a Graph)
Lecture 17 (Review for Exam 2)
Lecture 18 (4.6 Limits at infinity and Asymptotes, part 1)
Lecture 19 (4.6 Limits at infinity and Asymptotes, part 2)
Lecture 20 (4.7 Applied Optimization Problems, part 1)
Lecture 21 (4.7 Applied Optimization Problems, part 2)
Lecture 22 (4.8 L’Hopital’s Rule)
Lecture 23 (4.9 Newton’s Method)
Lecture 24 (Review for Exam 3)
Lecture 25 (4.10 Antiderivatives part 1)
