Short Course
  • 6 training hours
  • Flexible Schedule
  • Individual Approach
  • Experienced Trainer
Long Course
  • 10+ training hours
  • Flexible Schedule
  • Individual Approach
  • Experienced Trainer
Computer science
Industrial Engineering & Management
Course description
This course covers the following areas of probability theory: axiomatic foundations, random variables, distributions, and densities; expectations; introduces both discrete and continuous families of distributions; multiple random variables: joint and marginal distributions, properties of random samples: convergence, sampling from normal distribution, Central Limit Theorem and all other relevant topics for the exam on Probability Theory.
Topics
  • Experiment & Combinatorial Probability
  • Conditional probability & independence
  • Discrete random variables
  • Discrete variables & Continuous random variables
  • Continuous variables & Waiting times

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Andrei Popovici
Andrei Popovici
Mathematics-Probability Trainer
Andrei, being a TA at the faculty of Applied Mathematics and also an Honours student of the University of Twente is our trainer for Calculus 1B.