. "Digital signal processing"@en . . "20.0" . "DIGITAL SIGNAL PROCESSING ENG5027\nAcademic Session: 2023-24\nSchool: School of Engineering\nCredits: 20\nLevel: Level 5 (SCQF level 11)\nTypically Offered: Semester 1\nAvailable to Visiting Students: Yes\nShort Description\nThis course introduces the basic concepts and techniques of digital signal processing (DSP) and demonstrates some interesting and useful practical applications of DSP. It also provides practical experience in using Python in analysis and design of DSP systems and algorithms.\n\nTimetable\nFour lectures per week. Plus supporting Tutorials and Laboratory sessions.\n\nExcluded Courses\nNone\n\nCo-requisites\nNone\n\nAssessment\n70% Written Exam\n\n30% Lab report\n\nMain Assessment In: December\n\nCourse Aims\nThe aims of this course are to:\n\n■ introduce the basic concepts and techniques of digital signal processing (DSP);\n\n■ demonstrate some interesting and useful practical applications of DSP;\n\n■ provide practical experience in using DSP software in analysis and design of DSP systems and algorithms.\n\n■ design, implement, critically evaluate and benchmark an interdisciplinary DSP task\n\nIntended Learning Outcomes of Course\nBy the end of this course students will be able to:\n\n■ use the Fourier transform to filter signals from different application domain and critically evaluate them in the context of the application\n\n■ design FIR filters from a desired frequency response and evaluate their performance in the light of the intended application\n\n■ design IIR filters for low latency applications and evaluate them in terms of stability and latency introduced in the specific application.\n\n■ design matched filters for medical and communication situations and being able to benchmark the filters for their given application\n\n■ optimise filters for best performance;\n\n■ use Python as a filter design tool and knowing about its limitations and risks\n\n■ write object oriented DSP filter code in Python which can be used in production\n\n■ acquire interdisciplinary knowledge to provide a solution to a DSP problem and able to critically evaluate it\n\nMinimum Requirement for Award of Credits\nStudents must attend the degree examination and submit at least 75% by weight of the other components of the course's summative assessment.\n\n \n\nStudents must attend the timetabled laboratory classes.\n\n\nMore information at: https://www.gla.ac.uk/postgraduate/taught/sensorandimagingsystems/?card=course&code=ENG5027" . . "Presential"@en . "FALSE" . . "Signal Processing"@en . . . . . . . . . . . . . . . . . . . . . . . . . "Master in Sensor and Imaging Systems"@en . . "https://www.gla.ac.uk/postgraduate/taught/sensorandimagingsystems/ " . "180"^^ . "Presential"@en . "The MSc programme in Sensor & Imaging Systems lasts one year and contains a minimum of 180 credits. Students undertake a minimum of:\n\n60 credits at the University of Glasgow (semester 1), and\n60 credits at the University of Edinburgh (semester 2)\nThe remaining 60 credits will take the form of an extended MSc project, carried out on a specific aspect of theoretical, computational or experimental aspect of Sensor and Imaging Systems. Projects will be conducted at Glasgow and/or Edinburgh Universities while embedded within a research group or groups – under the direct supervision of a member of academic staff.\n\nStructure\nThe curriculum undertaken by each student will be flexible, and tailored to the prior experience and expertise of the student, his/her particular research interests and the specific nature of the extended research project topic provisionally identified at the beginning of the MSc programme.\n\nGenerally, however, courses taken in semester 1 will focus on skills, understanding and knowledge in the fundamentals of SIS, while courses taken in semester 2 will provide training in more specialist aspects."@en . . . . "1.5"@en . "TRUE" . . "Master"@en . "Thesis" . "12150.00" . "British Pound"@en . "30240.00" . "None" . "You will gain an understanding of sensor-based systems applicable to a whole host of markets supported by CENSIS.\n\nCareer opportunities are extensive. Sensor systems are spearheading the next wave of connectivity and intelligence for internet connected devices, underpinning all of the new ‘smart markets’, e.g., grid, cities, transport and mobility, digital healthcare and big data.\n\nYou will graduate with domain-appropriate skills suitable for a range of careers in areas including renewable energy, subsea and marine technologies, defence, automotive engineering, intelligent transport, healthcare, aerospace, manufacturing and process control, consumer electronics, and environmental monitoring.\n\nGlobally, the market for sensor systems is valued at £500Bn with an annual growth rate of 10%. The Scottish sensor systems market is worth £2.6Bn pa. There are over 170 sensor systems companies based in Scotland (SMEs and large companies), employing 16,000 people in high-value jobs including product R&D, design, engineering, manufacturing and field services."@en . "2"^^ . "TRUE" . "Downstream"@en . . . . . . . . . . .