Second Cycle (Laurea magistrale) Degree Programme in Robotics Engineering
Prof.: Maurizio Pratelli
Students are expected to acquire:
- basic knowledge or Probability
- basic knowledge of integration of random variables
- methods of second order stationary stochastic processes
- practical knowledge of Markov chains and queuing theory
Basic properties of Probability, conditioning and independence.
Discrete random variables and r.v. with density; independence of r.v.
Expectation and moments, operations on densities.
Stationary stochastic processes: Discrete Time Fourier transform and ergodic theorem.
Finite states Markov Chains and queuing theory.
For this course the prerequisite/s is/are
face to face
Recommended reading includes Lecture Notes written by prof. Franco FLandoli (Pisa University).
Written exam 50%, oral exam 50%.
In the written exam (2 hours, 3 exercises), the student must demonstrate his/her knowledge of the course material and his/her ability to solve related exercises. During the oral exam the student must be able to demonstrate his/her knowledge of the course material and be able to discuss the reading matter thoughtfully and with propriety of expression.
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