Prodability and Statistics For Software Engineering
Course topics
1) Probability space 2) Law of total probability 3) Conditional probability, independent events 4) Bayes’ law 5) Discrete random variables. Discrete distributions: uniform, Bernoulli, binomial, geometric, Poisson 6) Continuous random variable. Continuous distributions: uniform, exponential, normal 7) Discrete two-dimensional joint random variables 8) Independence of random variables 9) Expectation 10) Variance, covariance, correlation coefficient
Course Information
- University course catalogue:
- 201.1.2381
- Level:
- Service
- Credits:
- 2.5
Recently Given
- 2024–25–A
- 2023–24–B (Dr. Luba Sapir)
- 2022–23–B (Dr. Luba Sapir)
- 2021–22–B (Dr. Guy Landsman)
- 2020–21–A (Dr. Luba Sapir)
- 2019–20–A (Dr. Luba Sapir)
- 2018–19–B
- 2018–19–A (Dr. Luba Sapir)
- 2017–18–A