The standard syllabus for Math 135

Below is a copy of the spring 2006 semester syllabus for Math 135. The column labeled Lecture # refers to the lecture number and the column labeled Sections refers to sections of the text Calculus and Its Applications, Custom Edition for Rutgers University, published by Pearson. This link shows a detailed list of suggested homework problems in the standard text.
Topics of Individual Lectures
L #
11.1, 1.2Precalculus Review: Real line, coordinate plane, distance, circles, straight lines.
2 1.3, 1.1 Precalculus Review: Functions, graphs.
Trig review: Radians, definition of trig functions, graphs of sin, cos, tan, sec.
3 2.1, 2.2 Limits: Definition and discussion of intuitive meaning.
Rules for limits, computing limits of algebraic functions.
One sided limits, squeeze theorem, limits for trig functions, infinite limits.
4 2.2 Topics of lecture 3, continued.
5 2.3 Continuity, intermediate value theorem, finding roots.
6 2.4 Exponentials and logarithms: Definition of e, properties and inverse relation of exp and ln. Compound interest, future value, exponential population growth.
7 3.1 Definition of the derivative: Direct calculation of derivatives.
Relation between the graph of f and the graph of f'.
Continuity and differentiability.
8 3.2, 3.3 Calculation: Sum, product and quotient rules.
Higher order derivatives.
Differentiation of exponential and trig functions.
9 3.4 The derivative as a rate of change. Velocity and acceleration.
10   Catch up and review.
12 3.5 Chain rule.
13 3.6 Implicit differentiation.
Derivatives of log and exp to other bases.
Derivative of log(|u|).
Logarithmic differentiation
14 3.7 Related rates.
15 3.8 Linear approximation. Differentials.
Error and relative error of measurement. Marginal analysis.
16 4.1 Optimization of a continuous function on a bounded interval.
17 4.2, 4.3 Mean value theorem.
First and second derivative analysis and curve sketching.
18 4.3 Topics of lecture 17, continued.
19 4.4, 4.5 Limits as x approaches plus or minus infinity.
Horizontal asymptotes, L'Hopital's rule.
20 4.6 Optimization applications: Physical problems.
21   Catch up and review.
23 4.7 Optimization applications: Marginal analysis and profit maximization, inventory problems, physiology problems.
24 5.1 Antiderivatives.
25 5.2, 5.3 Riemann sums and the definition of definite integrals.
26 5.4 Fundamental theorems of calculus.
27 5.5 Substitution method for both indefinite and definite integrals.
28   Catch up and review.
Maintained by and last modified 6/23/2006.