- Code ENGN8534
- Unit Value 6 units
- Offered by Research School of Engineering
- ANU College ANU College of Engineering and Computer Science
- Course subject Engineering
- Academic career PGRD
- AsPr Parastoo Sadeghi
- Mode of delivery In Person
Second Semester 2016
See Future Offerings
- Entropy, Relative Entropy, Mutual Information
- Entropy Rates of a Stochastic Process
- Data Compression and Source Coding
- Channel Capacity and Channel Coding Theorem
- Differential Entropy
- 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:Knowledge Base
At the end of this course students;
- Will gain in depth understanding of fundamental ways that digital information is a. represented and compressed at the source, b. reliably transmitted through the channel, and c. finally reproduced at the destination with vanishing small probabilities of error.
- Will be able to fully describe the notions of channel capacity, cut-off rate and explain how random channel coding techniques are used for proofs of achievability of capacity
- Will gain basic understanding of more complicated point-to-multi-point channels such as multiple access/broadcast/relay channels and how they differ from the simpler point-to-point case
- Will be able to describe how network coding can be utilizied in wirleline and wireless networks for improved throughput, robustness and delay (if time allows)
Having successfully completed this course, students should be able to:
- Apply the principles of information representation, storage, and transfer in real-life digital systems.
- Apply the principles of real-world data compression techniques, such as Lempel-Ziv coding.
- Develop an intuitive grasp of fundamental limits that information theory poses on capacity and data rate of wireless and wireline channels and more complicated data networks.
Indicative AssessmentAssignments and labs: 20%
Preparation and active participation: 10%
Mid-term exam: 30%
Final exam: 40%
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- Preparation and reading: 3 hours per week
- Lectures: 3 hours per week
- Labs and tutorials: 1-2 hours per week
- Assignments and follow-up work: 4 hours per week
- Total: 11-12 hours per week
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.
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- 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, Dates and Class Summary Links
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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|
|8701||18 Jul 2016||29 Jul 2016||31 Aug 2016||28 Oct 2016||In Person||N/A|