Resources
APMA 1650 - Spring 2020


Final

Final Exam Review

  1. Final Checklist - a summary of topics covered the final exam to aid in studying
  2. Final practice problems list - a large list of practice problems selected from the textbook. Please see this for solutions.
  3. Google Jamboard slides part 1 (new material) and part 2 (old material) for the review session (problems are unsolved).
  4. New Final Exam Solutions - handwritten solutions to the final exam

Midterm 2

Exam 2 Review and practice problems and solutions

  1. Midterm 2 Checklist - a summary of topics covered on midterm exam 2 to aid in studying
  2. Midterm 2 Practice Problems - Solutions to a subset of problems will be posted later.
  3. Google Jamboard for Midterm 2 review session working above practice problems - Hosted by Janet and Ashwin.
  4. Hand-Written solutions to the practice Gradescope Exam - use this as a reference for how your exam should look.
  5. Short Video - Explaining how to split the above pdf and upload a separate pdf for each problem in your exam in Gradescope.
  6. Midterm 2 Solutions - handwritten solutions to the second midterm exam

Midterm 1

Exam 1 Review and practice problems and solutions

  1. Midterm 1 Checklist - a summary of topics covered on midterm exam 1 to aid in studying
  2. Midterm 1 Practice Problems - Solutions
  3. Midterm 1 Solutions - solutions to the first midterm exam

Multivariable Calculus

Pauls online notes on multiple and iterated integrals

  1. Double Integrals
  2. Iterated Integrals
  3. Double Integrals over General Regions
  4. Double Integrals in Polar Coordinates

Extra Resources

Below are several extra resources to aid in learning and studying the material for the course

  1. Seeing Theory - an interactive visualization of probability and statistics developed by Brown students (after taking this course!)
  2. Khan Academny - Statistics and probability - a great resource with many examples, explanations and materials
  3. Grinstead and Snell’s Introduction to Probability - An open source textbook on probability developed by two Dartmouth professors
  4. Towards Data Science - Probability and Statistics An online data science publication with well written introductory articles on range of topics related to statistics