This course will introduce students to the main concepts of information theory. Information theory has many applications in communications theory and practice, computer science, and statistics. For example, it quantifies fundamental limits of reliable communications in the presence of noise without restricting the treatment to a particular method of transmission or reception. Specific topics include:
Entropy, Relative Entropy, Mutual Information.
Entropy Rates of a Stochastic Process.
Data Compression and Source Coding.
Channel Capacity and Channel Coding Theorem.
Capacity of Gaussian Channels.
Network Information Theory (such as Multiple-access Channel, Broadcast Channel, Relay Channel).
Introduction to Network Coding (if time allows).
Upon successful completion, students will have the knowledge and skills to:Upon successful completion of this course, students will have the knowledge and skills to:
- Students will be able to explain, model, use and evaluate the entropy for discrete as well as continuous sources, and for memoryless as well as stochastic sources.
- Students will be able to explain, model, use and evaluate the mutual information for discrete as well as continuous systems, and for memoryless as well as stochastic systems.
- Students will be able to explain, classify, and model fundamental methods that digital information is
- represented and compressed at the source,
- reliably transmitted through the channel,
- and finally reproduced at the destination with vanishing small probabilities of error.
- Students will be able to fully analyse and evaluate the information capacity of basic communication channels and use random channel coding techniques to prove achievability of capacity
- Students will be able to analyse and evaluate the information capacity of selected more complicated point-to-multi-point channels such as multiple access/broadcast/relay channels and compare and critique how they differ in performance relative to the simpler point-to-point channels.
- Students will be able to apply their general knowledge in the course to evaluate how network coding is utilisied in wireline and wireless data networks for improved throughput, robustness and delay (if time allows).
- Students will be able to implement and test real-world data compression techniques, such as Lempel-Ziv coding.
- Students will be able to apply the broad principles of information representation, storage, and transfer learned in this course to evaluate, critique and design efficient complex wireless and wireline communication and storage systems.
- Students will plan, execute and report on a group-based project and communicate professionally and effectively in written and oral form about the obtained outcomes.
Professional Skills Mapping
Mapping of Learning Outcomes to Assessment and Professional Competencies
- Assignments and labs: between 16% to 20%,
- Active participation: 4%,
- Group Research project: between 10% to 15%,
- Mid-term exam: 25%, Final exam: 40%
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Workload2 x 2-hour lectures per week (4 hours total), 1 x 1-hour tutorial (or self-taught tutorial) per week, 5 hours independent/or group-based study per week.
Requisite and Incompatibility
Prescribed TextsTextbook: 'Elements of Information Theory', Thomas Cover and Joy Thomas, Second Edition, 2006.
Optional Classic Textbook Suggestion: 'Information Theory and Reliable Communication', Robert G. Gallager, New York, Wiley, 1968
1. ENGN8538 - Probability and Stochastic Processes in Engineering is pre-requisite.2. Knowledge of ENGN6626- Digital Communications is not strictly needed, but would be advantageous
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and 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). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
Offerings and Dates
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|8491||24 Jul 2017||31 Jul 2017||31 Aug 2017||27 Oct 2017||In Person||N/A|