MATE 3134 Teoría de la Información
This is a first course in Information Theory. This course builds on material developed in a basic probability course, but the most impor-
tant requirement is mathematical maturity. The course has two explicit goals, namely to answer the following two (related) questions:
1. How efficiently can data be compressed?
2. How efficiently can data be transmitted in the presence of noise?
At the end of the course, students will have the mathematical tools to answer the above questions, as well as have a general understanding of the mathematics underpinning modern communications systems. More specifically, the main ideas we hope to cover during the course are entropy and mutual information of random variables, data compression, coding theory, and channel capacity.
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