Information Theory: Difference between revisions
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Since the early beginnings of communications as an engineering discipline, many engineers and mathematicians have sought to find a quantitative measure of | Since the early beginnings of communications as an engineering discipline, many engineers and mathematicians have sought | ||
*to find a quantitative measure of the $\rm Information$ (in general: "the knowledge of something") | |||
*contained in a $\rm message$ (here we understand "a collection of symbols and/or states"). | |||
Revision as of 14:26, 14 October 2021
Since the early beginnings of communications as an engineering discipline, many engineers and mathematicians have sought
- to find a quantitative measure of the $\rm Information$ (in general: "the knowledge of something")
- contained in a $\rm message$ (here we understand "a collection of symbols and/or states").
The (abstract) information is communicated by the (concrete) message and can be seen as an interpretation of a message.
Claude Elwood Shannon succeeded in 1948 in establishing a consistent theory of the information content of messages, which was revolutionary in its time and created a new, still highly topical field of science: the theory named after him $\text{Shannon's Information Theory}$.
The subject matter corresponds to a $\text{lecture with two semester hours per week (SWS) and one additional SWS exercise}$.
Here is a table of contents based on the $\text{four main chapters}$ with a total of $\text{13 individual chapters}$.
Contents
In addition to these theory pages, we also offer exercises and multimedia modules that could help to clarify the teaching material:
$\text{Other links:}$
$(1)$ $\text{Bibliography to the book}$
$(2)$ $\text{General notes about the book}$ (authors, other participants, materials as a starting point for the book, list of sources)
