Those taking Information Theory for the first time may benefit from reading the standard textbook by T. Cover and J. Thomas (see below). The text book for the course will be Quantum Computation and Quantum Information by M. A. Nielsen and I. L. Chuang (Cambridge, 2000).. Some homework problems will be assigned from the text.There will be weekly assigned problem sets, one take-home midterm, and one take-home final. The choice of papers will be up to the group. Your use of the MIT OpenCourseWare site and materials is subject to our Information Theory: Introduction, Measure of information, Information content of message, Average Information content of symbols in Long Independent sequences, Average Information content of symbols in Long dependent sequences, Markov Statistical Model of Information Sources, Entropy and Information rate of Markoff Sources (Section 4.1, 4.2 of Text 1). Topics include mathematical definition and properties of information, source coding theorem, lossless compression of data, optimal lossless coding, noisy communication channels, channel coding theorem, the source channel separation theorem, multiple access channels, broadcast channels, Gaussian noise, and time-varying channels.There will 10 problem sets.
Syllabus ECE4833: Information Theory, Coding and Cryptography (3-0-3) School of Electrical and Computer Engineering Georgia Institute of Technology Fall 2007. Software: MATLAB or Mathcad and … Find materials for this course in the pages linked along the left. Information Theory was not just a product of the work of Claude Shannon. Information Theory Spring 2020, Time: MWF 11:30AM – 12:20PM, Room LPH 103 Instructor Dr. Massimiliano Pierobon Assistant Professor 104 Schorr Center Department of Computer Science and Engineering University of Nebraska-Lincoln Lincoln, NE 68508 Tel: (402) 472-5021 Fax: (402) 472-7767 E-mail: pierobon@cse.unl.edu Office Hours TBD or by appointment. stream Syllabus Calendar Readings Lecture Notes Assignments ... 6.441 offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. The concepts of information theory extend far beyond communication theory, however, and have influenced diverse fields from physics to computer science to biology. �U��e_)��������Y��n������ȇ''�V�������D� �jl�v���)�GD�{U�v\ �v�用��Ԡϒt����N>.ݟ��3�RU�U�9����W�ԃ��|"�Ś���jP�����tc5tחc��FA=bE95��j0���Q5)d��z�HZ�M�_u^t���\�' �z7lp���^����! Syllabus Calendar Readings Lecture Notes Assignments ... 6.441 offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. 2a(�d��wd��5܊�LU 說�����s3�_uqY� ?�]�I�B�nX!��0(���u��5w�F��8y,^��"lZ���8��p�[!�z�����~����r��a,U�H#��$���I�E$�Z8�Dߋ�+�ṀTS���4�W�}�c�5��:Rt���Q����H#`KAnð�%xP��k����kWߝ7ՠ�M��hb�`�R-0�$��A��[�����tu�)W}]�u�U��G?�]f������`:�i��?� 4 0 obj Offered by The Chinese University of Hong Kong. ���)��)2�,d2f ��@�d�Jƶ����9�?Cӗ�]M��N�R�*������2��Vf��F+L���l��O���Z}��iU�K��4s@�M %��������� The final grade will be weighted as follows:This is one of over 2,200 courses on OCW. Two stars: Requires significant mathematical maturity. Practical compression and error correction. The lectures of this course are based on the first 11 chapters of Prof. Raymond Yeung’s textbook entitled Information Theory and Network Coding (Springer 2008).
���1,��S���S^���qQ�Q�lU�p�Z��m�bx�lqX�TS�|ʻz(�t��Pʏ�u�٤�������@����?� ɾ�t���}��yfM���o�z'r�g�Z��{}�M����oݕ��+����d��Dڅ�2Y����{}���k�C#�\a�S�U5]9 ���9_ ��4)��Fm1�C�E�2�r�i����kl^B�aM�b q�o=�o�~�{�x����]��D����I�i���+۪� c�'�g�=�j��#�J!��z���[����8po��!iF�ᐃ{�������O�ځ��7I9N�ߪ��R䎽��6%u��[�;����,E� ��o�����ړT�⏸��z8���=ed�"������T�iK5@5��9�?\�����{������N��[�Ҕ�v*;�N'Oɷ��4�������l�2e�ް*�⟓�K�4�����n�&D INTRODUCTION TO INFORMATION THEORY {ch:intro_info} This chapter introduces some of the basic concepts of information theory, as well as the definitions and notations of probabilities that will be used throughout the book. Schedule of Presentations . The project may be done by groups of 1-4 people. MIT OpenCourseWare makes the materials used in the teaching of almost all of MIT's subjects available on the Web, free of charge. Review of probability theory. The notion of entropy, which is fundamental to the whole topic of this book, is introduced here. Prerequisite: Undergraduate Semester level ECE 3040 Minimum Grade of D and (Undergraduate Semester level ECE 3770 Minimum Grade of D or Undergraduate Semester level ISYE 3770 Minimum Grade of D or Undergraduate Semester level … %PDF-1.3 The project will require a project presentation of 12 minutes per person (the presentation time per project will be proportional to the number of people in the group). Information Theory, Inference and Learning Algorithms by David J.C. MacKay. It was the result of crucial contributions made by many distinct individuals, from a variety of backgrounds, who took his ideas and expanded upon them. The channels studied are primarily motivated by wireless communication systems and ad-hoc & sensor networks. x�\�s�Ƒ�6\�@��0x|�MQ�V+>ɡ����=T�K��������o_� �XHV�� ==���#��#��W��5��_?�VU֭�6?T�wz,�:��)���/����6������?�ե�u��Ø�~ʟ��ֹ�o���9/v�9�/�����_����7�v�' Find materials for this course in the pages linked along the left. Project presentations are Thursday, May 5, in EE/CS 6-212. Information Theory: Introduction, Measure of information, Information content ofmessage, Average Information content of symbols in Long Independent sequences,Average Information content of symbols in Long dependent sequences, MarkovStatistical Model of Information Sources, Entropy and Information rate of MarkoffSources (Section 4.1, 4.2 of Text 1). Copies will be kept on reserve in the library. With more than 2,400 courses available, OCW is delivering on the promise of open sharing of knowledge. Description This course deals with … Draft 2.2.4 August 31, 2001.