Subject: Time Series Analysis (14 - IFE213)


Basic Information

CategoryScientific-professional
Scientific or art field:Telecommunications and Signal Processing
InterdisciplinaryNo
ECTS5
Native organizations units

Course native organizational units not found!
Course specification

Course is active from 01.10.2014..


Precondition courses

Course idMandatoryMandatory
Mathematical Analysis 2YesNo
Mathematical Analysis 1YesYes
The course offers fundamental knowledge in the field of time series analysis and its applications in various domains, most notably financial and telecommunication engineering. The students formalize the concept of a time series through the notion of a discrete-time signal, they get acquainted with systems for processing discrete-time signals, basic transforms of discrete-time signals as well as digital filters. The students also learn about basic models of time series and their respective properties.
The students will learn basic signal processing algorithms and principal transforms of analog and discrete signals. They will get acquainted with discrete signals and digital filters through specific examples, and will be able to design systems for discrete-time signal processing using appropriate software tools. Based on the knowledge obtained within the course, they will be able to analyze a given problem, select an appropriate method of signal processing and implement it. In the computer lab they will obtain practical experience with Matlab DSP Toolbox.
Analog and discrete-time signals. Practical aspects of sampling. Transformations of analog and discrete signals and relations between them. Laplace and z-transform. Fourier transform of analog and discrete-time signal. Discrete-time systems and difference equations. Examples of digital FIR and IIR filters, their properties and methods of their design. An introduction to time series modelling. Stationary processes.
The lectures are continuously followed by synchronized oral and computer exercises. Oral exercises contain practical problem solving sessions principally related to discrete-time signal processing. In the computer lab students obtain practical experience with signal processing software tools. Through the teaching process, students are constantly motivated to an intensive discussion, problem oriented reasoning, independent study work and active participation in the whole lecturing process. The prerequisite to enter the final exam is to complete the pre-exam assignments by earning at least 10 points.
AuthorsNameYearPublisherLanguage
Milan Sečujski, Vlado Delić, Nikša Jakovljević, Igor RadićZbirka zadataka iz digitalne obrade signala2007FTN Novi SadSerbian language
Ljiljana Milić i Z. DobrosavljevićUvod u digitalnu obradu signala1995ETF BeogradSerbian language
James Douglas Hamilton"Time Series Analysis"1994Princeton University Press, Princeton, NJEnglish
P.J.Brockwell & R.A.Davis"Introduction to Time Series and Forecasting"2002SpringerEnglish
Milan Sečujski, Nikša Jakovljević, Vlado DelićPowerPoint prezentacije sa predavanja i on-line vežbe preko web portala Katedre za telekomunikacije i obradu signala2014Interni materijalSerbian language
Course activity Pre-examination ObligationsNumber of points
TestYesYes15.00
TestYesYes15.00
Written part of the exam - tasks and theoryNoYes70.00
Coloquium examYesNo20.00
Name and surnameForm of classes
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Sečujski Milan
Associate Professor

Lectures
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Jakovljević Nikša
Associate Professor

Practical classes
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Mak Robert

Practical classes
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Ostrogonac Stevan

Laboratory classes
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Nikolić Dušan
Laboratory

Laboratory classes organizing - Laboratory personnel