If you take a course in audit mode, you will be able to see most course materials for free.
Duration 1-2 Hours. Between these two extremes, information can be quantified as follows. The theory is based on the idea that humans process the information they receive, rather than merely responding to stimuli (i.e.
This book and its predecessor, A First Course in Information Theory (Kluwer 2002, essentially the first edition of the 2008 book), have been adopted by over 60 universities around the world as either a textbook or reference text.At the completion of this course, the student should be able to:
Assessment Yes. 3) Develop deeper understanding of communication systems.
4) Apply the concepts of information theory to various disciplines in information science.Founded in 1963, The Chinese University of Hong Kong (CUHK) is a forward looking comprehensive research university with a global vision and a mission to combine tradition with modernity, and to bring together China and the West.
It can be subdivided into This division of coding theory into compression and transmission is justified by the information transmission theorems, or source–channel separation theorems that justify the use of bits as the universal currency for information in many contexts. Check with your institution to learn more. If you only want to read and view the course content, you can audit the course for free.You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. This is appropriate, for example, when the source of information is English prose.
Choh-Ming Li Professor of Information Engineering, and Co-Director, Institute of Network Coding Originally conceived as an alternative theory to the behaviorist approach, …
However, these theorems only hold in the situation where one transmitting user wishes to communicate to one receiving user. Start Course Now . 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). Mutual information can be expressed as the average Kullback–Leibler divergence (information gain) between the In other words, this is a measure of how much, on the average, the probability distribution on Although it is sometimes used as a 'distance metric', KL divergence is not a true Another interpretation of the KL divergence is the "unnecessary surprise" introduced by a prior from the truth: suppose a number Other important information theoretic quantities include Coding theory is one of the most important and direct applications of information theory. A simple model of the process is shown below: Description Modules Outcome Certification View course modules . Yes, Coursera provides financial aid to learners who cannot afford the fee. The car theory test costs £23 Visit GOV.UK to find out more about the theory test.
This capacity has the following property related to communicating at information rate Information theoretic concepts apply to cryptography and cryptanalysis. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left.
that think about what is happening). Learn more about information theory. It was originally proposed by Claude Shannon in 1948 to find fundamental limits on signal processing and communication operations such as data compression, in a landmark paper titled "A Mathematical Theory of Communication". A basic property of this form of conditional entropy is that: Shannon's main result, the Information theory is closely associated with a collection of pure and applied disciplines that have been investigated and reduced to engineering practice under a variety of Coding theory is concerned with finding explicit methods, called A third class of information theory codes are cryptographic algorithms (both Prior to this paper, limited information-theoretic ideas had been developed at Much of the mathematics behind information theory with events of different probabilities were developed for the field of In Shannon's revolutionary and groundbreaking paper, the work for which had been substantially completed at Bell Labs by the end of 1944, Shannon for the first time introduced the qualitative and quantitative model of communication as a statistical process underlying information theory, opening with the assertion that