Title: Application Development 1
Credits: 5
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This module introduces the C# language for graphical desktop application development.
Title: Advanced Digital Communications
Credits: 5
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Advanced Digital Communications: Sampling, multiplexing and PCM; Baseband transmission and line coding; Optimum filtering for transmission and reception, raised cosine and matched filtering; Information Theory, source coding, compression and encription; Error control coding, error detection and correction systems; Bandpass modulation of a carrier signal, ASK, FSK, PSK, QPSK and QAM.
Title: Advanced Digital Communications and Networking
Credits: 5
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Advanced Digital Communications and Networking: system noise and communications link budgets; fixed point microwave link budgets; mobile and cellular radio, FDMA, TDMA, CDMA and (ultra) wideband systems including 2G, 3G, 4G and LTE; video transmission and storage, HD TV, Digital Video Broadcast and packet video; MPEG 1,2,3,4; network applications, topologies and architecture; network protocols; network performance; switched networks and WANs, space switching time switching and packet switching, ADSL, HDSL,VDSL, Fibre To The Home, Fibre To The Cabinet; broadcast networks and LANs, Wireless LANs, 802.11, Bluetooth, Ad-Hoc and Infrastructure networks, HomePlug.
Title: Advanced HDL
Credits: 5
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This module introduces the student to advanced HDL system design and test techniques using HDL languages. The students will learn how to use a scalable structured digital design methodology to address large scale design problems. They will also learn how to properly document an advanced design so that designs are transferable and reusable. The students will also learn about the various stages in design flow process from concept through to finished product.
Title: Application Development 2
Credits: 5
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This module covers using the C# language to perform I/O and data manulation.
Title: Applied Statistical Analysis
Credits: 5
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At the end of this course students should have the theoretical background and be competent in the application of inferential statistics and statistical methods used in the analysis of data from designed experiments.
Title: Electronic System Analysis
Credits: 5
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The aim of this module is for the learner to model and analyse electronic engineering systems. The emphasis is on specification, design & analysis of electronic systems.
Title: Electronic System Design
Credits: 5
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Give learners an in-depth understanding of a complete Electroinc System, from digital cell design through to higher level 'system on PCB' designs.
Title: Embedded Systems
Credits: 5
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This module is designed to give the learner a theoretical and practical understanding of implementing communciation protocols using a 32-bit microcontroller architecture.
Title: Final Year Project
Credits: 10
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The aim of this module is to develop a learners independent ability to research a topic, complete a technical project and produce a dissertation in accordance with pre-determined formats and standards.
The topic selected must be directly relevant to the course of study being undertaken by the learner.
Title: HDL and digital Design
Credits: 5
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To introduce the learner to VHDL programming and to enhance the learner's knowledge of the use of PLDs in modern digital circuit design.
Title: Real Time Embedded Systems
Credits: 5
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To introduce the learner to Real Time Operating Systems and 32 bit microcontrollers and middleware.
Title: Statistical Process Control
Credits: 5
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To give the learner broad competencies in statistical analysis and to demonstrate the role of statistics and related techniques in Quality systems. At the end of the course, students should be competent in the theoretical background and the application of statistical tools in SPC.