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NİNOVA
DERSLER
YARDIM
HAKKINDA
Neredeyim:
Ninova
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Dersler
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Fen Bilimleri Enstitüsü
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TEL 517
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Dersin Bilgileri
Fakülteye dön
Ana Sayfa
Dersin Bilgileri
Dersin Haftalık Planı
Değerlendirme Kriterleri
Dersin Bilgileri
Dersin Adı
Türkçe
Bilgi Kuramı
İngilizce
Information Theory
Dersin Kodu
TEL 517
Kredi
Ders
(saat/hafta)
Uygulama
(saat/hafta)
Labratuvar
(saat/hafta)
Dönem
-
3
3
-
-
Dersin Dili
İngilizce
Dersin Koordinatörü
Mehmet Keskinöz
Mehmet Keskinöz
Dersin Amaçları
This is a 3-credit course that focuses on measure of information, properties of entropy, joint and conditional entropy. Noiseless coding technique: Kraft inequality, noiseless coding theorem, Huffman codes, Lempel-Ziv Algorithm. Sources with memory. Discrete memoryless channels, channel capacity and calculation methods. Optimum, maximum likelihood decision rules. Noisy-channel coding theorem. Error correcting coding: Linear block codes, generator and parity check matrices, error syndrome. Hamming codes, cyclic codes, BCH codes, convolutional codes and their properties, encoder and decoder structures.
Dersin Tanımı
This is a 3-credit course that focuses on measure of information, properties of entropy, joint and conditional entropy. Noiseless coding technique: Kraft inequality, noiseless coding theorem, Huffman codes, Lempel-Ziv Algorithm. Sources with memory. Discrete memoryless channels, channel capacity and calculation methods. Optimum, maximum likelihood decision rules. Noisy-channel coding theorem. Error correcting coding: Linear block codes, generator and parity check matrices, error syndrome. Hamming codes, cyclic codes, BCH codes, convolutional codes and their properties, encoder and decoder structures.
Dersin Çıktıları
This is a 3-credit course that focuses on measure of information, properties of entropy, joint and conditional entropy. Noiseless coding technique: Kraft inequality, noiseless coding theorem, Huffman codes, Lempel-Ziv Algorithm. Sources with memory. Discrete memoryless channels, channel capacity and calculation methods. Optimum, maximum likelihood decision rules. Noisy-channel coding theorem. Error correcting coding: Linear block codes, generator and parity check matrices, error syndrome. Hamming codes, cyclic codes, BCH codes, convolutional codes and their properties, encoder and decoder structures.
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