Recommended prerequisite for participation in the module

The module is based on knowledge achieved in Applied engineering mathematics and Microprocessor based systems (project module).

Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Have knowledge about analogue signal processing and its application in analysis and design of signals and systems, time and frequency domains
• Have knowledge about sampling theories, embedded systems and methods for processing of physical signals on a computer
• Have knowledge about application and choice of instrument equipment, characteristics and functions
• Have knowledge about Sampling and digitizing of analogue signals.
• Be able to implement IIR filters using bilinear transforms and impulse invariant methods
• Have an understanding of the limitations of taught theories and methods
• Have knowledge about the interplay between analysis of signals in the time and frequency domains
• Have knowledge about basic implementation structures and specific DSP implementation
• Have knowledge about measurement and instrumentation principles

Skills

• Be able to utilize some software tools for analysis, design and simulation of analogue signal processing systems
• Be able to apply theories and methods for spectral estimation including Fourier transform
• Be able to demonstrate the correlation between frequency resolution, window functions and zero-padding
• Be able to apply theories and methods for design of digital filters
• Be able to design FIR filters using windowing methods
• Be able to implement filters in practice, making use of appropriate filter structures, quantization, and scaling.
• Be able to implement embedded system

Competences

• Be able to discuss fundamental theories and methods for analysis and processing of digital signals, using correct terminology
• Be able to assess opportunities and limitations in connection with practical application of taught theories and methods

Type of instruction

The programme is based on a combination of academic, problem oriented and interdisciplinary approaches and organised based on the following types of instruction that combine skills and reflection:

• Lectures
• Class teaching
• Project work
• Work shops
• Exercises (individually and in groups)
• Supervisor feedback
• Professional reflection
• Portfolio work
• Laboratory work

Extent and expected workload

Since it is a 5 ECTS project module, the work load is expected to be 150 hours for the student.

Exam

Exams

Name of exam	Signal Processing
Type of exam	Written or oral exam
ECTS	5
Assessment	7-point grading scale
Type of grading	Internal examination
Criteria of assessment	The criteria of assessment are stated in the Examination Policies and Procedures