Institutionernas doktorandkurser

Startdatum och periodicitet för kurser kan variera. Se detaljer för respektive kurs för aktuell information. För anmälan, kontakta respektive kursansvarig. 


Information Theory

  • Kurskod: FSSY020
  • ECTS-poäng: 7,5
  • Institution: ELEKTROTEKNIK
  • Forskarskola: Signaler och system
  • Periodicitet: Every 2nd year, next time it will be given in SP4, spring, 2023.
  • Undervisningsspråk: Kursen kommer att ges på engelska
Aim
This course offers an introduction to information theory and its application to digital communication, statistics, and machine learning.

One important feature of the information-theory approach is its ability to provide fundamental results, i.e., results that demonstrate the optimality of certain procedures.

Obtaining results of this flavor is useful for many reasons: for example, we can assess whether achieving a target error probability in the transmission of information is feasible; we can determine how many data samples need to be collected to distinguish between two or more statistical hypotheses, or how many examples are needed to train a machine learning algorithm.

Additional information
The course is also part of the master program in information and communication technologies (MPICT). Additional information is available in the student portal


Application code: 13111

Application information
Contact Giuseppe Durisi
Litteratur
Föreläsare
Giuseppe Durisi
Mer information
Telephone: 031 772 18 21 Email: durisi@chalmers.se

Sidansvarig Publicerad: on 10 feb 2021.