Applied Math 210:
Introduction to Probability

Catalog Description

Definitions, sets, conditional and total probability, binomial distribution approximations, random variables, important probability distributions, functions of random variables, moments, characteristic functions, joint probability distributions, marginal distributions, sums of random variables-convolutions, correlation, sequences of random variables, limit theorems. The emphasis is on discrete random variables.

Contact Information

• Instructor: Darren Atkinson (datkinson@scuedu)

Course Resources

• Syllabus
• Policies
• Midterm Exam Solutions
• Final Exam Solutions
• Homework assignments
  1. Chapter 1, Problems: 1, 2, 3, 4, 5, 6, 8, 9, 10, 11
     Chapter 1, Theoretical Exercises: 2, 3
  2. Chapter 1, Problems: 7, 12-33
     Chapter 1, Theoretical Exercises: 4, 11
  3. Chapter 2, Problems: 1, 3, 5, 6, 7, 8, 9, 10, 11
     Chapter 2, Theoretical Exercises: 1, 2, 3, 6, 7
  4. Chapter 2, Problems: 12, 13, 14, 19, 21, 27, 30, 31, 33, 35
     Chapter 2, Theoretical Exercises: 11, 12, 13, 19
  5. Chapter 3, Problems: 2, 5, 7, 8, 19
     Chapter 3, Theoretical Exercises: 1, 2
  6. Chapter 3, Problems: 1, 4, 12, 15, 16, 20
     Chapter 3, Theoretical Exercises: 11
  7. Chapter 3, Problems: 22, 36, 37, 51, 62, 63
     Chapter 3, Theoretical Exercises: none
  8. Chapter 4, Problems: 2, 4, 7, 9, 12, 13, 25
     Chapter 4, Theoretical Exercises: none
  9. Chapter 4, Problems: 21, 23, 27, 32, 38, 39, 40, 71
     Chapter 4, Theoretical Exercises: none
  10. Chapter 4, Problems: 49, 54, 57, 74, 78
      Chapter 4, Theoretical Exercises: none