

Engineering Calculus 1311


College of Engineering

Department of Mathematics

College of Science
Overview
The calculus is a set of tools to analyze the relationships and functions essential for modeling physical processes important in science and engineering applications.
1311 Entrance requirements and prerequisites
 AP Calculus AB score of 4 or better
 AP Calc BC score of 3 or better
 Departmental consent
Learning Objectives of 1311
The goal of Math 1311 is to master the basic tools for the study of functions f(x)=y, termed the calculus, and become skilled in its use for solving problems in science and engineering. These basic tools and problem solving skills are described below.
The tools and skills
 Students will understand how to transform functions into other functions through x and y translations and rescaling, reparameterizations, and function composition. Students will also know the properties of special classes of functions including logarithms, exponential functions, polynomials, and rational functions; and know how to obtain function inverses f^{1}(y)=x when they exist.
 Students will master the concept of a limiting value of a function f(x)=y when x approaches a value c, know when limits exists, utilize limit laws, how the property of continuity of a function at c relates to its limiting value, how asymptotic behavior can be described by limits, and how limiting values can be specified even when the f(c) is not defined.
 Students will understand how to use limits to compute the derivative of a function f' that describe or rate of change of a function f. Students will be able to utilize derivatives to model how two related quantities change with respect to each other, including motion of objects by in terms of velocity and acceleration. Students will also learn the methods of differentiation for different classes of functions including exponential and logarithmic functions, trigonometric and inverse trigonometric functions, power functions, and compositions, sums, products, and quotients of functions, as well as differentiating functions that are only implicitly defined by an equation.
Students will also be able to utilize the derivative in applied contexts, including function approximation, and how the average slope of a function relates to the derivative through the mean value theorem. If two quantities are related by an equation, students will be able to obtain the derivative of one quantity by knowing the derivative of the other. Students will know how to utilize linear approximations to perform numerical/algorithmic equation solving via Newton's method. Also, students will be able to utilize the derivative to find maximum, minimum, or otherwise "optimal" input values for equations important in science, business, and engineering.
 Students will understand the definition of the integral of a function as the limiting value of an increasingly large average of function values. They will be able to relate the integral to antidifferentiation, when appropriate, through the fundamental theorem of calculus. Students will also be able to relate the integral to the area under the function's curve, know how to approximate the integral by a finite sum, and how to integrate over infinitelength domains. Specific integration techniques will also be mastered, including substitution, integrationbyparts, and partial fractions. Finally, students will understand the key concept underlying integration, that it computes the net accumulation of a quantity through summation of the change in the quantity amount per unit of time or space, over an specified interval of time or space.
 Students will be able to utilize methods of integration to compute volumes of objects with circularshaped aspects, and compute lengths of curves. These applications introduce a higherlevel concept of integration, involving the summation of small volume segments $dV$ or small length segments $ds$, which are computed by performing an appropriate parameterization to a realnumberline integral in terms of $dx$.
 Students will be skilled in using integration to compute problems important in physics and engineering. Students will know how to compute of an average value of a function using the mean value theorem for integrals, the center of mass for objects, and the computation of energy as a force integrated over a distance. Students will also be able to utilize physical laws to formulate differential equations that solve for the motion of masses by forces of gravitation, friction, electrostatics, to name a few. Students will also become familiar with the phenomenon of exponential growth and decay in science and engineering contexts.
Problem solving fluency
 Students will be able to read and understand problem descriptions, then be able to formulate equations modeling the problem usually by applying geometric or physical principles. Solving a problem often requires a series of transformations that include utilizing the methods of calculus. Students will be able to select the appropriate calculus operations to apply to a given problem, execute them accurately, and interpret the results using numerical and graphical computational aids.
 Students will gain experience with problem solving in groups. Students should be able to effectively transform problem objectives into appropriate problem solving methods through collaborative discussion. Students will also learn how to articulate questions effectively with both the instructor and TA, and be able to effectively articulate how problem solutions meet the problem objectives.
Weekbyweek guide of topics and textbook sections
 Week 1: 1.3,1.5, 1.6, 1.7 Functions, Compositions, Exponential Function, Logarithms, Inverse Functions, Parametric Curves
 Week 2: 2.14, Velocity, Limits, Limit Laws , Continuity, Derivatives
 Week 3: 2.52.7 Relationship between a Function and its
Derivative.
 Week 4: 2.83.3 Derivatives of Polynomials and Exponential, Product and Quotient
Rules, Derivatives of Trig Functions
 Week 5: 3.43.7 , Chain Rule, Implicit Differentiation, Inverse Trig Functions, Log Functions
 Week 6: 3.8 Log Derivatives, Linear Approximation, Differentials, Applications.
 Week 7: 4.14 Linear Approximation, Differentials, Related Rates, Max and Min Values, Derivatives and Shapes of Curves,
 Week 8: 4.58, l'Hopital's Rule, Optimization, Newton's Method, Antiderivatives.
 Week 9: 5.15.4 Areas, Distances, The Definite Integral, Evaluating Definite Integrals, Fundamental Theorem of Calculus
 Week 10: 5.55.8 Substitution Rule, Integration by
Parts.
 Week 11: 5.910,6.16.2, Approximate Integration, Improper Integrals, Areas Between Curves, Volumes.
 Week 12: 6.36.6 Volumes by Shells, Arc Length, Average Values, Applications of Integration to Engineering
 Week 13:] 7.17.4 Modeling with Differential Equations, Direction Fields, Separable Differential Equations, Exponential Growth and Decay
 Week 14: Review, slack time
 Week 15: Review, slack time
 Week 16: Finals week: comprehensive final exam.
