Gäller från och med: Spring 2016
Beslutad av: Professor Thomas Johansson
Datum för fastställande: 2016-11-02
Avdelning: Electrical and Information Technology
Kurstyp: Ren forskarutbildningskurs
Undervisningsspråk: English
Information theory studies the fundamental limits of information transmission and storage. The course is divided into two parts. The aim of Part I is to introduce the fundamental concepts of information theory, focusing on classical point-to-point transmission scenarios. This part is based on selected chapters of the book by Cover/Thomas, which has been widely used as graduate level entry into information theory. In Part II the perspective is extended to multi-user communication scenarios, following selected parts of the book by El Gamal/Kim, which provides an excellent overview of current state-of-art in the field. Using these two books makes the course both up-to-date and self-contained so that no prior background in information theory is required.
Kunskap och förståelse
För godkänd kurs skall doktoranden
Färdighet och förmåga
För godkänd kurs skall doktoranden
Värderingsförmåga och förhållningssätt
För godkänd kurs skall doktoranden
Part I: entropy, mutual information and their properties, typical sequences, data compression, source coding theorem, channel capacity, channel coding theorem, continuous random variables, differential entropy, Gaussian channels Part II: multiple access channels, broadcast channels, interference channels, channels with state: writing on dirty paper, distributed compression: Slepian-Wolf theorem, Gaussian vector channels, wireless fading channels, relay channels
Undervisningsformer: Föreläsningar, övningar. The aim of the exercise classes is to discuss the home assignments. The doctoral students should present and discuss ways to solve the problems.
Examinationsformer: Muntlig tentamen, inlämningsuppgifter.
Attendance of at least 80% of the lectures and exercise lessons are a requirement to pass the course.
Betygsskala: Underkänd, godkänd
Examinator: Senior lecturer Michael Lentmaier
Förutsatta förkunskaper: Solid skills in engineering mathematics, including probability theory, linear algebra and calculus.
Minsta antal deltagare: 4
Course Coordinator: Michael Lentmaier
Startdatum: 2020-03-23.
Startdatumet är ungefärligt.
Slutdatum: 2020-06-30
Kursfart: Full time
Kursansvarig: Michael Lentmaier <michael.lentmaier@eit.lth.se>