A First Course in Differential Equations with Modeling Applications, 11th Edition written by Dennis Zill and published by
Cengage Learning, strikes a balance between analytical, qualitative, and quantitative approaches to the study of differential equations. This proven resource speaks to students of varied majors through a wealth of pedagogical aids, including an abundance of examples, explanations, "Remarks" boxes, and definitions. It provides a thorough overview of the topics typically taught in a first course in differential equations written in a straightforward, readable, and helpful style. The WebAssign component for this title links to a complete eBook, engages students with videos and the ability to talk to a tutor, and supports the instructor with pre-made course packs.
Question 1 demonstrates interval grading, which can grade any canonically equivalent interval and enforces proper notation. Identical answer blanks handle zero, one, or multiple critical points.
Question 2 has the student find particular solutions through specified points. Part (a) accepts any solution in terms of an arbitrary or specific constant.
Question 3 contains a Watch It link to a video example that explains the solution method.
Question 4 features a randomized Bernoulli DE, where the solution can be entered implicitly or explicitly, and in terms of any arbitrary constant.
Question 5 shows an LR-series circuit application, where the student fills in each part of the piecewise-defined solution.
Question 6 features a mathematical model describing a real-world problem, where the student analyzes the end-behavior of the solution.
Question 7 illustrates how series are handled.
Question 8 utilizes special grading for the solution involving vectors and arbitrary constants. Also available is a Watch It video link.
Question 9 showcases expandable matrices, where the student determines the size of the matrix product, just as they would on paper.
Question 10 demonstrates how eigenvalues can be listed in any order, the number and size of the eigenvectors are defined by the student, and any correct eigenvector is accepted.
This demo assignment allows many submissions and allows you to try another version of the same question for practice wherever the problem has randomized values.