What This Document Is
This is a past exam paper for Math 132, Calculus II, administered at Washington University in St. Louis in Spring 2003. It’s a comprehensive assessment designed to evaluate a student’s understanding of key concepts covered in the course up to Exam 3. The exam format includes multiple-choice questions, testing both computational skills and conceptual grasp of calculus principles.
Why This Document Matters
This resource is invaluable for students currently enrolled in Calculus II, or those preparing to take the course. It’s particularly useful for self-assessment, identifying areas of strength and weakness, and familiarizing yourself with the typical exam style and question types used by instructors at Washington University in St. Louis. Working through practice problems – even without the solutions – can significantly boost your confidence and improve your test-taking strategies. It’s best used *after* you’ve completed relevant coursework and are looking for a challenging way to apply your knowledge.
Common Limitations or Challenges
Please be aware that this is a historical exam. While the core concepts of calculus remain consistent, specific emphasis or minor details within the course may have evolved since 2003. This document does *not* include worked solutions, explanations, or grading rubrics. It is designed to be a practice tool, requiring you to independently apply your understanding of the material. Access to the course textbook, lecture notes, and other learning resources will be essential for fully benefiting from this exam.
What This Document Provides
* A full set of multiple-choice questions covering a range of Calculus II topics.
* Questions assessing understanding of applications of integration.
* Problems related to techniques of integration.
* Questions testing knowledge of infinite sequences and series.
* Applications of differential equations, such as Newton’s Law of Cooling.
* Problems involving work, lengths of curves, and volumes of solids of revolution.
* Questions related to probability and exponential density functions.
