Modules

Core Module Information
Module title: Signal Processing
SCQF level: 09:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: ELE09113
Module leader: Petros Karadimas
School School of Computing, Engineering and the Built Environment
Subject area group: Cyber Security and Systems Engineering
Prerequisites

There are no pre-requisites for this module to be added
Description of module content:

The module comprises of thematic areas covering the most essential aspects of signal processing. Beginning with some fundamental maths and theorems, a detailed analysis of each component will follow, namely, Fourier transforms and Filters, Baseband and Passband Signals, and Signal Processing Case Studies. A more detailed description of provisional topics can be seen below. A. Signals and Systems: Mathematical formulations in the time domain, Common signals, Systems' Impulse response, Convolution theorem in the time domain.B. Fourier Transform and Filters: Mathematical formulations of Fourier and inverse Fourier transforms, Fourier transform properties, Fourier-inverse Fourier transform pairs, Systems'/Filters' transfer function, Convolution theorem in the frequency domain, Ideal and non ideal filters.C. Baseband and Passband Signals: Mathematical formulations in both time and frequency domains, Equivalent mathematical representations, Baseband-Passband upconversion, Passband-Baseband downconversion. D. Signal Processing Case Study 1: Analogue modulation and demodulation.E. Signal Processing Case Study 2: Frequency modulation and demodulation.F. Signal Processing Case Study 3 (Optional): Phased Locked Loop (PLL) modelling.
Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Demonstrate an in-depth understanding of core signal processing elements and systems/filters modelling.

LO2: Apply computer based tools in the development of signal processing systems and techniques.

LO3: Use simulation to examine the relationship between key parameters in the design and verification of signal processing systems.

LO4: Critically analyse and associate time and frequency domain representations of signals and signal processing systems through Fourier analysis.
Full Details of Teaching and Assessment
2024/5, Trimester 2, In Person,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: In Person
Location of delivery: MERCHISTON
Partner:
Member of staff responsible for delivering module: Petros Karadimas
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Face To Face Lecture 22 Covers the theoretical and fundamental aspects of signal processing.
Face To Face Tutorial 18 Provides examples and exercises relevant to the centrally timetabled exams.
Face To Face Practical classes and workshops 4 Computer based tasks to produce results for the report coursework. (2 weeks over the trimester)
Face To Face Centrally Time Tabled Examination 2 Centrally Time Tabled Examination
Online Guided independent study 154 Guided independent study
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Report 50 2~3 Week 13 , WORDS= 2000 words Report.Apply a comprehensive knowledge of mathematics to represent complex signal processing systems and techniques (M1), and then evaluate outcomes using first engineering principles and engineering judgment critically discussing the limitations of the adopted signal processing systems and techniques (M2). Outcomes are produced by using a suitable software tool such as Matlab to apply appropriate computational techniques accounting for signal processing systems and techniques (M3), (M13). Software-based tasks are thus designed appropriately and undertaken in timetabled practical sessions (M12), (M13). Successful completion relies on critically evaluating and studying technical literature such as classical signal processing book resources that contain the relevant background theory (M4). The chosen signal processing systems and techniques require an integrated or systems approach due to performance comparisons (M6). A written report should be submitted to communicate effectively the background theory and outcomes that evaluate the effectiveness and performance of the adopted signal processing systems and techniques (M17).
Centrally Time Tabled Examination 50 1~4 Exam Period HOURS= 2 hours Centrally Time Tabled Examination.Apply a comprehensive knowledge of mathematics to the solution of complex signal processing problems, such as modulation systems, filtering techniques, baseband-passband signal representations (M1), and then evaluate outcomes using first engineering principles and engineering judgment to assess the limitations of the adopted systems and techniques (M2). This requires to apply appropriate analytical tools to model signal processing systems and techniques and assess their limitations (M3). The chosen signal processing problems require an integrated or systems approach due to performance comparisons of the various systems and techniques (M6).
Component 1 subtotal: 50
Component 2 subtotal: 50
Module subtotal: 100

Indicative References and Reading List - URL:
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