Postgraduate Course: Research and Computational skills in Signal Processing (PGEE11283)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | This course consists of three essential components:
a) computational and simulation tools for communications and signal processing,
b)research methods,
c) project pre-dissertation preparation.
The first component of the course will teach students to solve fundamental problems in the areas of communications and signal processing with suitable computational and simulation methods. The course will reinforce material taught in the co-requisite courses and provide practical experience of signal and image processing implementation in preparation for the project. The course will be composed of programming sessions, tests and course assignment covering discrete time signal analysis, communications, and image processing. (11 weeks)
The second component of the course is an introduction to research methods in engineering including, literature reviewing, project planning and reporting, Gantt charts, plagiarism and Intellectual Property issues, etc. (1 week)The last part of the course covers and assesses the initial phase of a Masters research project, using the skills learned in this course and other relevant courses in the program. The project topic, main objectives and expected deliverables are defined and the student will then be expected to perform an initial literature review. The student should also carry out some preliminary project tasks, like becoming familiarised with a software package or designing an experiment for collecting data, in preparation for the main phase of the project itself.Finally, the student should also outline a proper schedule of work for the main project, addressing any potential risks or pitfalls. The work carried out in this course will be written up in the form of an interim report, which will be submitted at the end of the course. (10 weeks) |
| Course description |
The Course contents:
1. A set of programming sessions run weekly covering:
- Introduction to signal processing in the computational software;
- generating time domain signals;
- simulating continuous and sampled signals;
- calculating the DFT, its properties and implementation;
- signal and image filtering;
- power spectral density estimation.
2. Introduction to research methods including:
- Literature review methods and sources of information
- Quantitative and qualitative evaluation methods in research
- Project planning and Gantt charts
- Project management and reporting in scientific format
- Plagiarism and Intellectual Property
3. Project Pre-dissertation:
- Working on a real project topic
- Conduct literature review
- Familiarising with the essential computational tools
- Collecting or generating simulated and/or real data, if needed
- Preliminary simulations and data analysis
- Preparing a scientific report and a plan for the final project
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
|
| Academic year 2026/27, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Full Year |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 10,
Seminar/Tutorial Hours 10,
Supervised Practical/Workshop/Studio Hours 30,
Summative Assessment Hours 20,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
126 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Written Exam %:0«br /»
Practical Exam %:0«br /»
Coursework %:100 |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Formulate solutions to practical communications, signal andimage processing problems and to code, debug and run these insimulation environment.
- Use computational software to simulate and analyse signal and image processing algorithms.
- Identify and apply key research ethics requirements, including avoiding plagiarism, complying with copyright, and respecting intellectual property.
- Perform a preliminary investigation and literature review of aresearch topic.
- Make interim conclusions about a research question in a shortspace of time.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Mehrdad Yaghoobi Vaighan
Tel: (0131 6)51 3492
Email: M.Yaghoobi-Vaighan@ed.ac.uk |
Course secretary | Ms Ilaria Monfroni
Tel:
Email: imonfron@ed.ac.uk |
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