Information Theory

Computer and information sciences
Information theory
  • 10 – 14 July 2017


Information Theory

Computer and information sciences
Information theory

This five-day summer course provides talented young postgraduate students and postdoctoral scholars with an interest in information theory an opportunity to learn about the latest advances in information theory via long-format tutorials taught by leading experts, in a format that facilitates formal and informal interactions between the participants and experts.

The field of information theory has become the de facto intellectual framework for design and analysis of schemes pertaining to information compression, storage, communication and processing. It has helped lay the groundwork for modern information systems such as the internet, wireless and cellular, communication systems, data storage systems and signal processing tools. It has also shown up in other diverse and surprising contexts, such as analysis of biological systems, in control theory, and in quantum information theory.

Topics to be covered include statistical inference, coded caching, private information retrieval, communication complexity, and physical layer security.

The course is limited to a maximum of 60 participants and will be conducted in English. Registration requires submission of a one-page paper abstract and a poster. Submissions must be received by 30 April 2017.

For more information and to apply, please click here.

Course directors

Professor Jaggi Siddharth

The Chinese University of Hong Kong

About your speakers

Professor Matthieu Bloch

Georgia Institute of Technology

Professor Taschy Weissman

Stanford University

Professor Alexander Vardy

University of California, San Diego

Professor Rao Anup

University of Washington at Seattle

Professor Mohammad Ali Maddah-Ali

Nokia Bell labs

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