Fundamentals of Mathematical Informatics

Course Overview

In this course, through intensively reading research papers and presenting their contents, the students will learn about current research topics in the fields of their interests. We assist students to develop their abilities to discover and solve new problems. For the possible topics for papers to be investigated, please contact the instructor.

Class Materials

Lecture One : Random Variables, Entropy, and Information Lecture Two : Random Variables, Entropy, and Information bu2.pdf" desc="The Noiseless Coding Theorem for Information Sources"} Lecture Three : Random Variables, Entropy, and Information bu3.pdf" desc="Existence of Optimal Source Codes"} Lecture Four : Random Variables, Entropy, and Information bu4.pdf" desc="Communication through Noisy Channels"} Lecture Five : Random Variables, Entropy, and Information Lecture5.pdf" desc="The Channel Capacity"}

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