This course introduces some basic theory of high dimensional probability. The content includes: concentration phenomenon, high dimensional random variable, random matrices, applications to random graph and stochastic algorithms. The course objective is:

  1. To introduce concentration phenomenon such as Hoeffding inequality and Bernstein inequality 
  2. To introduce high dimensional random variable and dimension curse
  3. To introduce basic theory about random matrices such as estimation of eigenvalues and so on
  4. To introduce some applications to random graph and stochastic algorithms