Coding Theory (6539.6)
|Level:||Level 3 - Undergraduate Advanced Unit|
Band 2 2013-2020 (Expires 31 Dec 2020) Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021)
|Faculty:||Faculty of Science and Technology|
|Discipline:||Academic Program Area - Technology|
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- Semester 2, 2018, ON-CAMPUS, BRUCE (181696) - View
- Semester 2, 2017, ON-CAMPUS, BRUCE (169998) - View
- Semester 2, 2016, ON-CAMPUS, BRUCE (152030) - View
- Semester 2, 2015, ON-CAMPUS, BRUCE (140851) - View
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Coding theory is the area of applied mathematics concerned with the efficient and accurate communication and storage of digital data. Sophisticated mathematical concepts such as finite fields have turned out to be exactly the right tools here. Applications range from mobile phones to deep space communications, computer networks to DVDs. This unit develops the mathematics needed and proceeds to its application in error detection and correction via linear, cyclic and/or convolutional codes. Examples such as Hamming, BCH and/or Reed-Solomon codes will be examined, along with their applications in various fields. This unit provides the students with the solid knowledge in the coding theory as well as in the coding theory applications. In addition, the unit promotes and strengthens important generic skills, such as communication, analysis and inquiry, problem solving, independent and group working, and professionalism and social responsibility.
On successful completion of this unit, students will be able to;
1. Understand and apply the techniques of error detection and correction, to prove the properties of the codes studied;
2. Demonstrate the familiarity with issues arising from the applications of these coding;
3. Apply their knowledge to invent new coding algorithms; and
4. Will further strengthen important generic skills, such as communication, analysis and inquiry, problem solving, independent and group working, and professionalism and social responsibility.
A 2-hour lecture and a 2-hour tutorial per week
6543 Mathematical Structures OR 8110 Linear Algebra