Postgraduate Course: Signal Processing & Communications: Project and Thesis (PGEE11010)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
| Course type | Dissertation |
Availability | Available to all students |
| SCQF Credits | 60 |
ECTS Credits | 30 |
| Summary | This course is the project and thesis element of the MSc project. The students will do a substantive project in a topic relevant to signal processing and communications and generate a thesis detailing their results. |
| Course description |
The Project and Thesis Course in the Signal Processing and Communications MSc is designed to provide students with a comprehensive understanding of advanced concepts and techniques in signal processing, machine learning and communications, while enhancing their research and project management skills. This course serves as the culmination of the Master of Science program, allowing students to apply the knowledge and skills acquired throughout their studies towards a substantial MSc project for which they are required to deliver a thesis report.
Building upon the theoretical foundation of the taught courses, this course will expose the students to a range of advanced methods enabling them to simulate, model, and analyse various information systems and algorithms. In the process they will also learn to critically evaluate existing research and identify potential areas for innovation and improvement.
Central to the course is the individual research project and thesis. Under the guidance of their supervisors, students will work on their assigned topic in accordance to the mission statement they have completed before the start of this course. In this context they will formulate research objectives, develop a methodology, and conduct experiments or simulations to investigate their chosen problem. Throughout the course, students will receive regular feedback and guidance to ensure the successful completion of their project. The MSc Project and Thesis Course in Signal Processing and Communications provides a robust platform for students to showcase their expertise and contribute to the advancement of the field. It prepares them for careers in industries such as telecommunications, wireless communication, research and development, and academia, or for further advanced studies in related disciplines.
The course is assessed in terms of the student¿s practical work, thesis report and a viva examination that includes a presentation focusing on the main outputs of their work.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2024/25, Available to all students (SV1)
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Quota: None |
| Course Start |
Block 5 (Sem 2) and beyond |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
600
(
Dissertation/Project Supervision Hours 20,
Formative Assessment Hours 1,
Summative Assessment Hours 60,
Programme Level Learning and Teaching Hours 12,
Directed Learning and Independent Learning Hours
507 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
The course will be assessed by consideration of the practical work of the students via their lab notebooks and by the quality of the submitted thesis. A short viva will form part of the assessment of the thesis. |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Demonstrate advanced level knowledge within the specialised topic area.
- Perform a literature review:Identify relevant and trustworthy resources; critically analyse their own work and that of others; appreciate the aims, objectives and outcomesof their project within the wider context of the field.
- Gather, analyse, discuss and interpret data/information, and use appropriate advanced knowledge/skills/tools/equipment and/or software resources relevant to the project to solve or investigate an engineering problem.
- Demonstrate independent research project skills:Project planning; problem identification; problem solving; keeping of a record of your research activities.
- Present, communicate, and discuss their work in multiple formats, including a written thesis/dissertation, a poster session, and oral presentations.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Nicholas Polydorides
Tel: (0131 6)50 2769
Email: |
Course secretary | Ms Brunori Viola
Tel: (0131 6)50 5687
Email: |
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