Introduction

information

These are my notes on MATH 2421: Probability

  1. Lecture 1
  2. Lecture 2
  3. Lecture 3
  4. Tutorial 1
  5. Lecture 4
  6. Lecture 5
  7. Tutorial 2
  8. Lecture 6
  9. Tutorial 3
  10. Lecture 7
  11. Lecture 8
  12. Lecture 9
  13. Lecture 10
  14. Lecture 11
  15. Lecture 12
  16. Lecture 13
  17. Tutorial 6
  18. Lecture 14
  19. Lecture 15
  20. Lecture 16
  21. Lecture 17
  22. Lecture 18
  23. Lecture 19
  24. Lecture 20
  25. Lecture 21
  26. Lecture 22
  27. Lecture 23
  28. Tutorial 7
  29. Tutorial 8
  30. Tutorial 9
  31. Tutorial 10
  32. Tutorial 11
  33. Lecture 24

Course information

  • Course code: MATH 2421
  • Course title: Probability
  • Semester: 24/25 Fall
  • Credit: 4
  • Grade: A-F
  • TMI
    • Prerequisite: MATH 1014 OR MATH 1020 OR MATH 1024
    • Corequisite: MATH 2011 OR MATH 2023
    • Exclusion: IEDA 2520, MATH 2431, ELEC 2600, ELEC 2600H, ISOM 3540
Description

The course covers the basic principles of probability theory. Topics include combinatorial analysis used in computing probabilities, the axioms of probability, conditional probability and independence of events, discrete and continuous random variables; joint, marginal, and conditional densities, moment generating function; binomial, Poisson, gamma, exponential, Gamma, Beta, Cauchy, univariate, and bivariate normal distributions; laws of large numbers; central limit theorem

My section

  • Section: L1 / T1B
  • Time:
    • Lecture: MoWe 12:00PM - 01:20PM
    • Tutorial: Tu 06:00PM - 06:50PM
  • Venue:
    • Lecture: LG3009, Lift 10-12
    • Tutorial: Rm 4580, Lift 27-28
  • Instructor: WANG, Ke
  • Teaching Assistants:

Grading scheme

Assessment TaskPercentage
5 HW15%
Mid-Term35%
Final Exam50%

Required texts

  • "A First Course in Probability" (8th or other Edition) by Sheldon Ross (Publisher: Prentice Hall)

Optional resources

  • N/A