Communication Theory
BASIC DATA
course listing
A - main register
course code
IEE2610
course title in Estonian
Sideteooria
course title in English
Communication Theory
course volume CP
-
ECTS credits
6.00
to be declared
yes
fully online course
not
assessment form
Examination
teaching semester
autumn
language of instruction
Estonian
English
Study programmes that contain the course
code of the study programme version
course compulsory
IAVM23/26
no
Structural units teaching the course
IE - Thomas Johann Seebeck Department of Electronics
Course description link
Timetable link
View the timetable
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Õppeaine eesmärk on anda õppijatele terviklikud teadmised telekommunikatsiooni matemaatilistest alustest, edastuskanalite tüüpidest ja nende jõudluse hindamisest ning arendada oskust rakendada allika- ja kanalikodeerimise, optimaalse vastuvõtu ning sümboliinterferentsi vähendamise põhimõtteid, võttes arvesse raadiokanalite ajalisi ja sageduslikke omadusi.
course aims in English
The aim of the course is to provide learners with a comprehensive understanding of the mathematical foundations of telecommunications, the types of transmission channels and the assessment of their performance, and to develop the ability to apply the principles of source and channel coding, optimal reception, and intersymbol interference mitigation, while taking into account the temporal and frequency characteristics of radio channels.
learning outcomes in the course in Est.
Kursuse sooritanud üliõpilane:
- arvutab sõnumiallika entroopiat ja andmekiirust;
- rakendab edastuskanali jõudluse hindamise põhimõtteid mürade ja häirete olemasolul kanalis;
- kirjeldab peamiste allika- ja kanalikodeerimismeetodite omadusi ja kasutusvaldkondi;
- teab demodulaatorite ja sümboli eristajate põhitüüpe ning oskab hindab sümboli vea tõenäosusi;
- valib reaalsete sidekanalite projekteerimisel signaale ja hajutusmeetodeid sümboliinterferentsi ning vaibumiste häiriva mõju vähendamiseks;
- hindab konkreetse hajutusmeetodi rakendamisega saavutatavat häirekindluse kasvu.
learning outcomes in the course in Eng.
After having successfully passed the course a student:
- calculates the logarithmic measure of information and data rate of a data source;
- estimates the channel capacity in presence of noise and distortions;
- knows basic types and applications of source and channel coding methods;
- knows basic types of demodulators and symbol detectors and calculates symbol error probability;
- chooses proper waveforms and implements diversity techniques for a communications channel under design to reduce the effects of intersymbol interference;
- estimates the improvement in communications link reliability for a given diversity technique.
brief description of the course in Estonian
Sidesüsteemi põhilised koostisosad. Sõnumiedastuse matemaatilised alused. Infoteooria põhimõisted. Sõnumiallika entroopia ja andmekiirus. Allikakodeerimise ja kanalikodeerimise alused. Edastus põhi- ja pääsuribas. Piiratud ribalaiusega edastuskanal. Digitaaledastus aditiivse Gaussi müraga kanalis. Optimaalne vastuvõtja. Vea tõenäosus erinevate digitaalmodulatsiooni meetodite korral. Range ja sujuva otsustusega dekodeerimine. Kandja taastamine ja vastuvõtja sünkroniseerimine. Sümboliinterferents. Sümbolijada dekodeerimise algoritm. Raadiokanali ruumiline, ajaline ja sageduslik koherentsus. Hajutusmeetodid side töökindluse suurendamiseks. Hajusspekterside. MIMO.
brief description of the course in English
Basic components of a communication system. Mathematical foundations of message transmission. Fundamental concepts of information theory. Source entropy and data rate. Fundamentals of source coding and channel coding. Baseband and passband transmission. Band-limited transmission channel. Digital transmission over an additive white Gaussian noise (AWGN) channel. Optimal receiver. Error probability for different digital modulation schemes. Hard- and soft-decision decoding. Carrier recovery and receiver synchronization. Intersymbol interference. Symbol sequence decoding algorithm. Spatial, temporal, and frequency coherence of radio channels. Diversity techniques for improving communication reliability. Spread-spectrum communication. MIMO.
type of assessment in Estonian
-
type of assessment in English
-
independent study in Estonian
-
independent study in English
-
study literature
-
study forms and load
daytime study: weekly hours
3.0
session-based study work load (in a semester):
lectures
2.0
lectures
-
practices
0.0
practices
-
exercises
1.0
exercises
-
lecturer in charge
-
type (CBL/PBL)
not specified
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
2026/2027 autumn
Mari-Anne Meister, IE - Thomas Johann Seebeck Department of Electronics
Estonian
    Course description in Estonian
    Course description in English