Probstat
This is a course web page for the course Probability and Statistics for Computer and Software Engineers.
Topics
- Course introduction
- Probability theory
- Introduction to various concepts in probability theory
- Elements of probability: axioms of probability, conditional probability, independence, Bayes' formula
- Discrete random variables and expectations: random variables, expected values, variances, jointly distributed random variables
- Tail bounds and analysis of randomized algorithms
- Continuous random variables
- Statistics
- Sampling
- Parameter estimation
- Hypothesis testing
- Regression
- Analysis of Variance
Classroom activities
Administrative information
- Score breakdown: in-class activities 19%, projects 27%, midterm exam 27%, final exam 27%
