Information theory studies the fundamental limits of the representation and transmission of information. This course provides an introduction to information theory, studying fundamental concepts such as probability, information, and entropy and examining their applications in the areas of data compression, coding, communications, pattern recognition and probabilistic inference.
Upon successful completion, students will have the knowledge and skills to:
Upon successful completion of the course, the student will have background knowledge necessary to understand problems in data compression, storing and communication and undertake advanced courses on statistical inference, machine learning and information engineering. In particular, the student will be able to:
- Understand and apply fundamental concepts in information theory such as probability, entropy, information content and their inter-relationships.
- Understand the principles of data compression.
- Compute entropy and mutual information of random variables.
- Implement and analyse basic coding and compression algorithms.
- Understand the relationship of information theoretical principles and Bayesian inference in data modelling and pattern recognition.
- Understand some key theorems and inequalities that quantify essential limitations on compression, communication and inference.
- Know the basic concepts regarding communications over noisy channels.
Assignment 1 (10%) Assignment 2 (20%) Assignment 3 (20%) Final Exam (50%)
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WorkloadTwenty-six one-hour lectures and five two-hour tutorial sessions.
Requisite and Incompatibility
Information Theory, Inference, and Learning Algorithms by David MacKay, Cambridge University Press, 2003.
Additional reading: Elements of Information Theory by Cover and Thomas, 2nd Edition, New York, Wiley, 2006.
Some background in elementary statistics and probability.
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
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- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|4178||19 Feb 2024||26 Feb 2024||31 Mar 2024||24 May 2024||In Person||N/A|