| Effective Term: | 2024/05 |
| Institute / School : | Institute of Innovation, Science & Sustainability |
| Unit Title: | Digital Communication Principles |
| Unit ID: | ENGIN3104 |
| Credit Points: | 15.00 |
| Prerequisite(s): | (ENGIN2102) |
| Co-requisite(s): | Nil |
| Exclusion(s): | Nil |
| ASCED: | 031301 |
| Other Change: | |
| Brief description of the Unit |
This course facilitates learning and understanding of the fundamental signal processing and modulation concepts and methods that underpin wired and wireless digital communications systems. The course illustrates basic building blocks of a digital communication system (channel encoder / decoder, digital modulator / demodulator and channel characteristics). The focus is on mathematical underpinnings of communications theory along with links to real life industry applications. |
| Grade Scheme: | Graded (HD, D, C, P, MF, F, XF) |
| Work Experience Indicator: |
| No work experience |
| Placement Component: | |
| Supplementary Assessment:Yes |
| Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment |
| Course Level: |
| Level of Unit in Course | AQF Level(s) of Course | | 5 | 6 | 7 | 8 | 9 | 10 | | Introductory | | | | | | | | Intermediate | | | | | | | | Advanced | | |  | | | |
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| Learning Outcomes: |
| Knowledge: |
| K1. | Recognise common signal processing concepts and methods applicable to digital communication systems. |
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| K2. | Explain working principles and building blocks of digital communication systems. |
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| K3. | Demonstrate knowledge and understanding of different characterisation of digital communication signals and systems. |
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| Skills: |
| S1. | Design and synthesise signal processing modules to implement digital communication systems. |
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| S2. | Assess the effect of signal noise in digital communication systems. |
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| S3. | Evaluate the performance of digital communication systems under different environments. |
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| Application of knowledge and skills: |
| A1. | Interpret performance of various modulation and signal processing techniques for digital communication. |
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| A2. | Apply software tools to simulate and study characteristics and behaviour of digital communication systems. |
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| A3. | Analyse fundamental limits and different challenges associated with digital communication systems. |
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| Unit Content: |
•Introduction to digital communication
•Coding for discrete sources
•Quantization
•Source and channel waveforms
•Vector spaces and signal space
•Channels, modulation, and demodulation
•Random processes and noise
•Detection, coding, and decoding
•Wireless digital communication |
| Graduate Attributes: |
| | Learning Outcomes Assessed | Assessment Tasks | Assessment Type | Weighting | | 1. | K1 - K3, S1, A3 | Relevant tasks and problems to enforce understanding of the students and help in gradual development of knowledge and skills throughout the course. | assignments / quizzes | 20% - 30% | | 2. | K3, S2, S3, A1-A3 | Experimental/simulation work to verify students' ability to apply knowledge and skills acquired in the course. | Report | 20% - 30% | | 3. | K1-K3, S1-S3, A1, A3 | The examination tests analytical and critical thinking and a general understanding of the course materials. | Test or exam | 40% - 60% |
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