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Series, Fourier and Z- Transforms (MATLC0022), 3 op

Basic information

Course name:Series, Fourier and Z- Transforms
Series, Fourier and Z- Transforms
Course Winha code:MATLC0022
Kurre acronym:SeriesFz
Credits:3
Type and level of course:Basic studies
Year of study, semester or study period:2.year
Implementation:Autumn semester, 3.period, 4.period
Semester:0708
Language of tuition:English
Teacher:Seppo Uusitalo
Final assessment:Grading scale (0-5)

Descriptions

Prerequisites

MATL0020 Basic Course of Mathematics, MATL0021 Integral Calculus and Laplace Transforms

Course contents (core content level)

Arithmetic and geometric series, power series, application to the evaluation of functions. The concepts of difference equations, discrete functions and the z transform, application to simple problems like moving average. Block diagrams. Fourier series and Fourier transforms, using tables for the basic cases, the concepts of amplitude and phase spectrum.

Course contents (additional)

Taylor and Maclaurin series, error estimates. Integration and differential equations using series. Transfer functions of discrete systems, stability, digital filtering. Calculating Fourier series and transforms, discrete and continuous spectra. Power spectrum, Parseval?s theorem, filtering, Bode diagram. Fast Fourier transform. Convolution of discrete and continuous signals. Modulation.

Core content level learning outcomes (knowledge and understanding)

After completion of this course the student understands the meaning of sequences and series and approximation of functions. The student understands the amplitude and phase spectra of discrete and continuous functions and simple filtering. The student has an idea of the connection between time domain and frequency domain.

Core content level learning outcomes (skills)

After completion of this course the student is able to evaluate functions using series. The student can solve simple difference equations and use them in the analysis of systems, for example simple filtering. He/she can use tables for Fourier series and Fourier transforms and sketch simple spectra.

Recommended reading

Croft ? Davison ? Hargreaves: Engineering Mathematics

Teaching and learning strategies

Lectures and assignments
Laboratory assignments
Examinations
Homework and self-study

Teaching methods and student workload

Exam
Lectures and assignments
Self-study
Laboratory assignments

Assessment weighting and grading

Examinations (40 % of maximal points) and computer assignments

Related competences of the degree programme

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