Undergraduate study programme

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Signals and Systems P403

ECTS 5 | P 30 | A 15 | L 15 | K 0 | ISVU 74048 | Academic year: 2017./2018.

Course groups

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Course lecturers

LEVENTIĆ HRVOJE, Associate
GALIĆ IRENA, Lecturer
LIVADA ČASLAV, Associate

Course description

Mathematical models of time-continuous and time-discrete signals and systems. Classification. Analysis of linear systems. Fourier transforms of time-continuous and time-discrete signals (FS, FT, DTFT and DTFS). Frequency characteristics and filtering principles. Laplace and Z-transform. Decomposition and realisation of systems. Stability, controllability and observability of systems. Signal sampling and regeneration. Equivalence of time-continuous and time-discrete systems. Software used for analysis and simulation of systems.

Knowledge and skills acquired

Students acquire knowledge necessary for the analysis and signals and systems modelling.

Teaching methods

Lectures, auditory and laboratory exercises.

Student requirements

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Monitoring of students

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Student assessment

Revision exams and laboratory exercises revision exams.

Obligatory literature

1. B. P. Lathi. Linear Systems and Signals. Oxford University Press, 2004; ISBN: 0-19-515833-4


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Recommended additional literature

1. A.V.Oppenheim, A.S.Willsky, Signale und Systeme, Arbeitsheft, VCH, Verlagsgessellschaft, Weinheim, 1989

2. Gabel i Roberts, Signals and Linear Systems, 3/e, J. Willey, 1987.

3. H. Babić. Signali i sustavi, Zavodska skripta, ZESOI, Fakultet elektrotehnike i računarstva Zagreb, 1996.

ECTS credits

An ECTS credit value has been added according to calculation of time required for studying and successful course completion.

Examination methods

Written and oral exam.

Course assessment

Conducting university questionnaires on teachers (student-teacher relationship, transparency of assessment criteria, motivation for teaching, teaching clarity, etc.). Conducting Faculty surveys on courses (upon passing the exam, student self-assessment of the adopted learning outcomes and student workload in relation to the number of ECTS credits allocated to activities and courses as a whole).

Overview of course assesment

Learning outcomes
Upon successful completion of the course, students will be able to:

1. define and classify signals and systems, and use terms from signal and system theory

2. analytically solve and evaluate mathematical models of time-dependent and time-discrete linear systems of the first and second order

3. model and evaluate the dynamic system in Simulink, and programme in MATLAB

4. define and describe the principle of superposition, superposition integral, superposition sum, convolution integral and convolution sum

5. define Laplace and z-transform, and apply and evaluate them to determine the response of linear time invariant systems

6. interpret four Fourier transforms (TCFS, TCFT, TDFS, TDFT) and their properties, and describe their application



Learning outcomes available only as desktop version    Export to Excel
Student's activity Workload ECTS (Workload/30) Learning outcomes
Upon successful completion of the course, students will be able to:
Teaching
method
Assessment method Points
Attendance
Lectures, Auditory exercises, Laboratory exercises

60
ECTS
2
- define and classify signals and systems, and use terms from signal and system theoryLectures, Auditory exercises, Laboratory exercises Attendance register. Mandatory attendance percentage is:
70%

This percentage defines the minimum workload for the activity. The maximum is defined by the study programme.
Min

0
Max

2
Practice – problem solving Workload
30
ECTS

1
- define and classify signals and systems, and use terms from signal and system theory- analytically solve and evaluate mathematical models of time-dependent and time-discrete linear systems of the first and second order- define and describe the principle of superposition, superposition integral, superposition sum, convolution integral and convolution sum- define Laplace and z-transform, and apply and evaluate them to determine the response of linear time invariant systemsMidterm exam Evaluation of (written) exercises Min

15
Max

30
Writing pre-lab write-ups, results analysis and writing laboratory reports Workload
30
ECTS

1
- define and classify signals and systems, and use terms from signal and system theory- model and evaluate the dynamic system in Simulink, and programme in MATLABLaboratory practice Assessment of pre-lab write-ups, supervision of laboratory exercises, evaluation of written reports Min

12
Max

18
Oral exam Workload
30
ECTS

1
- define and classify signals and systems, and use terms from signal and system theory- analytically solve and evaluate mathematical models of time-dependent and time-discrete linear systems of the first and second order- define and describe the principle of superposition, superposition integral, superposition sum, convolution integral and convolution sum- define Laplace and z-transform, and apply and evaluate them to determine the response of linear time invariant systems- interpret four Fourier transforms (TCFS, TCFT, TDFS, TDFT) and their properties, and describe their applicationOral exam Assessment of student's answers Min

25
Max

50
Σ Activities Σ Workload
150
Σ ECTS
5
Σ Max
100