Fundamentals of Mathematical Informatics

BUSCEMI Francesco Associate Professor

Department: School of Informatics / Graduate School of Infomatics

Class Time: 2017 Spring Monday
Recommended for: Master1

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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.

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Lecture One
Random Variables, Entropy, and Information (PDF, 318KB)
Lecture Two
The Noiseless Coding Theorem for Information Sources (PDF, 422KB)
Lecture Three
Existence of Optimal Source Codes (PDF, 460KB)
Lecture Four
Communication through Noisy Channels (PDF, 721KB)
Lecture Five
The Channel Capacity (PDF, 352KB)

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Page last updated August 9, 2017

The class contents were most recently updated on the date indicated. Please be aware that there may be some changes between the most recent year and the current page.

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