Course Catalogue

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This course will develop in students an understanding of the principles of signals and communication systems by means of spectral analysis, and provide them with the mathematical tools- Fourier series Fourier, Laplace and z-transforms-to carry out such analyses.

Course will be delivered continuously in the traditional manner at UESTCHN.

Mandatory Entry Requirements

None

Recommended Entry Requirements

None

None

None

75% Written Exam: 55% final exam, 20% mid-term exam

25% Report

For Midterm and final exams, they are both 'Open Book but closed Notes'. Students are allowed to bring in 'One double-sided handwritten crib sheet', and 'Calculators Not allowed'.

Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below. 

Due to the nature of the coursework and sequencing of courses, it is not possible to reassess the coursework laboratory.

Students in the BEng (Hons) Electronics and Electrical Engineering programme are only allowed to resit components of this Year 3 course or retake the Year 3 course.

The aims of this course are to:

■ develop in students the mathematical techniques (Laplace transforms, Fourier transforms, z-transforms) necessary;

■ analyse linear time-invariant systems;

■ build experience using these mathematical tools to the solution of realistic signal processing systems.

By the end of this course students will be able to:

■ State fundamental theory and methods for signals and systems, such as the Fourier transform, Laplace transform and Z-transform.

■ Analyze complex problems to reach substantiated conclusions using principles of transform techniques in linear time-invariant systems.

■ Design linear time-invariant systems catering for specific application requirements. Judge the qualification of the designed system by analyzing its response to various input signals.

■ Design potential solutions to complicated realistic signal processing problems by surveys and literature reviews on the theoretical basis of deterministic signals and linear time-invariance systems.

■ Investigate and Develop complex Signals and Systems problems by using practical laboratory and workshop skills.

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.  In addition students must submit work for assessment for the course laboratory or a grade of credit withheld will be given.

Students must attend the timetabled laboratory classes.