Statistics & Probability for CS Students
Description
This course introduces fundamental concepts in probability and statistics, tailored for computer science students. Through a combination of theory and practical exercises, students learn how to model and analyze uncertainty in real-world scenarios. Emphasis is placed on applying counting techniques, random variables, and distributions to solve problems that arise in computing and data analysis. Learning is reinforced through practice with real-world applications.
Content
Session 1: Introduction
Session 2: Counting & Combinatorics I
Session 3: Counting & Combinatorics II
Session 4: Probability
Session 5: Conditional Probability and Bayes I
Session 6: Conditional Probability and Bayes II
Session 7: Independence
Session 8: Random variables
Session 9:
Session 10:
Session 11:
Session 12:
Session 13:
Session 14:
Session 15:
Session 16:
Session 17:
Session 18:
Session 19:
Session 20:
Session 21:
Session 22:
Session 23:
Session 24:
Session 25:
Session 26:
Session 27:
Session 28: