Program Overview

Program Details

Course Overview

The course is titled "Probability" and is taught by Instructor Yixin (Kathy) Lin.

Daily Schedule

The daily schedule for the course is as follows:

• June 24: NO CLASS
• June 27: Course overview & Discrete probability distributions (Chapter 1)
• June 29: Discrete probability distributions & Continuous probability densities (Chapter 1 & 2)
• June 30: Continuous probability densities (Chapter 2)
• July 1: Continuous probability densities
• July 4: Independence Day --- NO CLASS
• July 6: Permutations (Chapter 3)
• July 7: Combinations (Chapter 3)
• July 8: Combinations
• July 11: Important distributions (Chapter 5)
• July 13: Review
• July 15: Important densities (Chapter 5)
• July 18: Discrete conditional probability (Chapter 4)
• July 20: Discrete conditional probability
• July 22: Discrete conditional probability
• July 25: Continuous conditional probability (Chapter 4)
• July 27: Expected value and variance for discrete random variables (Chapter 6)
• July 29: Expected value and variance for discrete random variables
• August 1: Expected value and variance for continuous random variables (Chapter 6)
• August 3: Review
• August 5: Sums of discrete random variables (Chapter 7)
• August 8: Sums of continuous random variables (Chapter 7)
• August 10: Law of large numbers for discrete random variables (Chapter 8)
• August 12: Central limit theorem (Chapter 9)
• August 15: Central limit theorem
• August 17: Generating Functions (Chapter 10)
• August 19: Generating Functions
• August 22: Markov chains (Chapter 11)
• August 24: Markov chains

Assignments

The assignments and their respective percentages of the total grade are:

• Quizzes: 15%
• Weekly Homework: 20%
• Midterm Exams: 35%
• Final Exam: 30%