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

Administrative information

• Score breakdown: in-class activities 19%, projects 27%, midterm exam 27%, final exam 27%