Probability - 3AMMA330

Goal(s)

At the end of the course, the student should be able to:
- understand basic notions;
- model a problem using probabilistic tools
- analyze the results of a poll

Content(s)

• Probability theory
  • Combinatorics.
  • Probability spaces.
  • Random variables.
  • Most common discrete distribution laws.
  • Continuous random variables.
  • Random vectors.
  • Main convergence theorems.
• Statistics
  • Statistical analysis: one variable.
  • Statistical analysis: two variables.
  • Point estimation, trust intervals.
  • Hypothesis testing.

Set theory, sequences, series, power series, integrals