수학
0(0)[Open 강의 추천] Statistics 110: Probability
Harvard의 Stat 110은 확률을 일상과 다양한 학문에 적용하는 법을 배우는 입문 강의로, 이론과 실습 문제를 통해 확률의 핵심 개념을 깊이 있게 익히는 수업입니다.
커리큘럼
- Lecture 1: Probability and Counting | Statistics 110강의보기
- Lecture 2: Story Proofs, Axioms of Probability | Statistics 110강의보기
- Lecture 3: Birthday Problem, Properties of Probability | Statistics 110강의보기
- Lecture 4: Conditional Probability | Statistics 110강의보기
- Lecture 5: Conditioning Continued, Law of Total Probability | Statistics 110강의보기
- Lecture 6: Monty Hall, Simpson's Paradox | Statistics 110강의보기
- Lecture 7: Gambler's Ruin and Random Variables | Statistics 110강의보기
- Lecture 8: Random Variables and Their Distributions | Statistics 110강의보기
- Lecture 9: Expectation, Indicator Random Variables, Linearity | Statistics 110강의보기
- Lecture 10: Expectation Continued | Statistics 110강의보기
- Lecture 11: The Poisson distribution | Statistics 110강의보기
- Lecture 12: Discrete vs. Continuous, the Uniform | Statistics 110강의보기
- Lecture 13: Normal distribution | Statistics 110강의보기
- Lecture 14: Location, Scale, and LOTUS | Statistics 110강의보기
- Lecture 15: Midterm Review | Statistics 110강의보기
- Lecture 16: Exponential Distribution | Statistics 110강의보기
- Lecture 17: Moment Generating Functions | Statistics 110강의보기
- Lecture 18: MGFs Continued | Statistics 110강의보기
- Lecture 19: Joint, Conditional, and Marginal Distributions | Statistics 110강의보기
- Lecture 20: Multinomial and Cauchy | Statistics 110강의보기
- Lecture 21: Covariance and Correlation | Statistics 110강의보기
- Lecture 22: Transformations and Convolutions | Statistics 110강의보기
- Lecture 23: Beta distribution | Statistics 110강의보기
- Lecture 24: Gamma distribution and Poisson process | Statistics 110강의보기
- Lecture 25: Order Statistics and Conditional Expectation | Statistics 110강의보기
- Lecture 26: Conditional Expectation Continued | Statistics 110강의보기
- Lecture 27: Conditional Expectation given an R.V. | Statistics 110강의보기
- Lecture 28: Inequalities | Statistics 110강의보기
- Lecture 29: Law of Large Numbers and Central Limit Theorem | Statistics 110강의보기
- Lecture 30: Chi-Square, Student-t, Multivariate Normal | Statistics 110강의보기
- Lecture 31: Markov Chains | Statistics 110강의보기
- Lecture 32: Markov Chains Continued | Statistics 110강의보기
- Lecture 33: Markov Chains Continued Further | Statistics 110강의보기
- Lecture 34: A Look Ahead | Statistics 110강의보기
수학
0(0)[Open 강의 추천] Statistics 110: Probability
Harvard의 Stat 110은 확률을 일상과 다양한 학문에 적용하는 법을 배우는 입문 강의로, 이론과 실습 문제를 통해 확률의 핵심 개념을 깊이 있게 익히는 수업입니다.