ELE 301 • Midterm • Signals and Systems
Elektrik-elektronik mühendisliğinin en zor kurslarından olan sinyaller ve sistemleri bu derste incelemeye devam ediyoruz.
Konu anlatım soruları ve sınava yönelik sorular sayesinde karşılaşacağınız problemleri çözebileceksiniz.
Eğitmen
Ahmet Nuri Çevik
Eğitmen
Herkese merhaba! Ben Nuri, Koç Üniversitesinde Matematik ve Elektrik Elektronik Mühendisliği çift anadal programını sürdürüyorum. Daha önce Calculus, Linear Algebra, Probability derslerinde Tutor olarak görev aldım. Multivariable Calculus ve Signals and Systems kurslarında Teaching Assistant olarak öğrencilere destek oldum. Eğitim vermek lise zamanlarımdan beri hayatımda olan bir tutkuydu, üniversite eğitimimde bunu sürdürsem de daha fazla kişiye ulaşmak için Unicourse'a katıldım.
Memnuniyet Garantisi
Bu dersi alma kararını senin için kolaylaştıralım. Eğer memnun kalmazsan 30 gün içinde bize ulaş, 3'ten fazla içerik tamamlamadıysan iade alabilirsin.
Tüm koşullarPaketi Tamamla
🎓 Hacettepe Üniversitesinde öğrencilerin %92'si tüm paketi alarak çalışıyor.
ELE 301 • Midterm
Signals and Systems
Ahmet Nuri Çevik
1199 TL
ELE 301 • Final
Signals and Systems
Ahmet Nuri Çevik
1199 TL
Konular
Introduction to Signals and Systems
Introduction to Signals
Periodic Signals
Example
Example
Example
Transformations of The Independent Variable
Example
Even-Odd Decomposition
Example
Example
Example
Energy and Power of Signals
Example
Example
Properties of Systems - Linearity
Example 2
Properties of Systems - Time-invariance
Example 3
Example
Memory-Causality-Stability Properties
example
Example
Example
Example
CT Unit Impulse Function (Dirac Delta Function)
example
Example
Properties of Dirac Delta Function
Example
Example
Example
Example
DT Unit Impulse Function (Kronecker Delta Function)
Impulse Response
Example
Example
Liner Time-Invariant (LTI) Systems
DT LTI Systems and Convolution Summation
Example
Example
Example
Properties of Convolution Summation
Example
Example
Example
Example
Properties of DT LTI Systems
Example
Example
Example
Example
Example
CT LTI Systems and Convolution Integral
Properties of Convolution Integral
Example
Example
Example
Example
Example
Properties of CT LTI Systems
Example
Fourier Series Expansion of CT Periodic Signals
CT Complex Exponentials 1
Example 1
Example 2
Example 3
Example
Example
Example
Example
CT Complex Exponentials 2
CT Fourier Series
Example 4
Example 5
Example
Example
Example
Example
CT Fourier Series of Real-valued Signals
Example
Properties of CTFS - 1
Properties of CTFS - 2
Example
Example
Example
Example
LTI Systems and CTFS
Example
Example
Example
Example
Example
Example
Example
Example
Fourier Series Expansion of DT Periodic Signals
DT Complex Exponentials
Example
Example
Example
Example
DT Fourier Series
Example
Example
Example
Example
Properties of DTFS - 1
Properties of DTFS - 2
Example
Example
Example
Example
LTI Systems and DTFS
Example
Example
Example
Example
Example
Example
CT Fourier Transform and Frequency Selective Filtering
CT Fourier Transform and Inverse Fourier Transform
Example
Important Fourier Transform Pairs - 1
Important Fourier Transform Pairs - 2
Properties of CTFT - 1
Example
Example
Properties of CTFT - 2
Example
Example
Example
Example
System Identification Problem
Example
Example
Example
CTFT of Periodic Signals
Example
Example
Example
Example
Example
Example
Frequency Selective Filtering
Example
Example
Example
Example
DT Fourier Transform and Frequency Selective Filtering
DT Fourier Transform
Example
Example
Example
Example
Example
Important DT Fourier Transform Pairs - 1
Important DT Fourier Transform Pairs - 2
Properties of DTFT - 1
Properties of DTFT - 2
Example
Example
Example
Example
Example
Example
Example
DTFT of Periodic Signals
Example
Example
DT Filtering
Example
Example
Example
Example
Sample Midterm Questions
Question - 1 (Convolution)
Question - 2 (CT Fourier Series)
Question - 3 (CT Fourier Series)
Question - 4 (CT Fourier Series)
Question - 5 (Properties of CTFT)
Question - 6 (System properties)
Question - 7 (Properties of Dirac Delta Function)
Question - 8 (System Properties)
Question - 9 (Fourier Transform)
Question - 10 (CT Filtering)
Question - 11 (Convolution Summation)
Question - 12 (CTFT)
Question - 13 (CT Filtering)
Question - 14 (Properties of Dirac Delta)
Question - 15 (Unit Impulse Functions)
Question - 16 (DTFT)
Question - 17 (Convolution of DT Sequences)
Question - 18 (System Properties)
Question - 19 (CT LTI Systems and Convolution)
Question - 20 (DT Filtering)
Question - 21 (DTFT)
Değerlendirmeler
Henüz hiç değerlendirme yok.
Ders İçeriği
Introduction to Signals and Systems
Introduction to Signals
Periodic Signals
Example
Example
Example
Transformations of The Independent Variable
Example
Even-Odd Decomposition
Example
Example
Example
Energy and Power of Signals
Example
Example
Properties of Systems - Linearity
Example 2
Properties of Systems - Time-invariance
Example 3
Example
Memory-Causality-Stability Properties
example
Example
Example
Example
CT Unit Impulse Function (Dirac Delta Function)
example
Example
Properties of Dirac Delta Function
Example
Example
Example
Example
DT Unit Impulse Function (Kronecker Delta Function)
Impulse Response
Example
Example
Liner Time-Invariant (LTI) Systems
DT LTI Systems and Convolution Summation
Example
Example
Example
Properties of Convolution Summation
Example
Example
Example
Example
Properties of DT LTI Systems
Example
Example
Example
Example
Example
CT LTI Systems and Convolution Integral
Properties of Convolution Integral
Example
Example
Example
Example
Example
Properties of CT LTI Systems
Example
Fourier Series Expansion of CT Periodic Signals
CT Complex Exponentials 1
Example 1
Example 2
Example 3
Example
Example
Example
Example
CT Complex Exponentials 2
CT Fourier Series
Example 4
Example 5
Example
Example
Example
Example
CT Fourier Series of Real-valued Signals
Example
Properties of CTFS - 1
Properties of CTFS - 2
Example
Example
Example
Example
LTI Systems and CTFS
Example
Example
Example
Example
Example
Example
Example
Example
Fourier Series Expansion of DT Periodic Signals
DT Complex Exponentials
Example
Example
Example
Example
DT Fourier Series
Example
Example
Example
Example
Properties of DTFS - 1
Properties of DTFS - 2
Example
Example
Example
Example
LTI Systems and DTFS
Example
Example
Example
Example
Example
Example
CT Fourier Transform and Frequency Selective Filtering
CT Fourier Transform and Inverse Fourier Transform
Example
Important Fourier Transform Pairs - 1
Important Fourier Transform Pairs - 2
Properties of CTFT - 1
Example
Example
Properties of CTFT - 2
Example
Example
Example
Example
System Identification Problem
Example
Example
Example
CTFT of Periodic Signals
Example
Example
Example
Example
Example
Example
Frequency Selective Filtering
Example
Example
Example
Example
DT Fourier Transform and Frequency Selective Filtering
DT Fourier Transform
Example
Example
Example
Example
Example
Important DT Fourier Transform Pairs - 1
Important DT Fourier Transform Pairs - 2
Properties of DTFT - 1
Properties of DTFT - 2
Example
Example
Example
Example
Example
Example
Example
DTFT of Periodic Signals
Example
Example
DT Filtering
Example
Example
Example
Example
Sample Midterm Questions
Question - 1 (Convolution)
Question - 2 (CT Fourier Series)
Question - 3 (CT Fourier Series)
Question - 4 (CT Fourier Series)
Question - 5 (Properties of CTFT)
Question - 6 (System properties)
Question - 7 (Properties of Dirac Delta Function)
Question - 8 (System Properties)
Question - 9 (Fourier Transform)
Question - 10 (CT Filtering)
Question - 11 (Convolution Summation)
Question - 12 (CTFT)
Question - 13 (CT Filtering)
Question - 14 (Properties of Dirac Delta)
Question - 15 (Unit Impulse Functions)
Question - 16 (DTFT)
Question - 17 (Convolution of DT Sequences)
Question - 18 (System Properties)
Question - 19 (CT LTI Systems and Convolution)
Question - 20 (DT Filtering)
Question - 21 (DTFT)
Memnuniyet Garantisi
Bu dersi alma kararını senin için kolaylaştıralım. Eğer memnun kalmazsan 30 gün içinde bize ulaş, 3'ten fazla içerik tamamlamadıysan iade alabilirsin.
Tüm koşullarSıkça Sorulan Sorular
Örneğin, Koç Üniversitesi - MATH 101 (Calculus) veya başka bir okulun benzer dersi olsun, paketlerimiz tam da o derse göre tasarlanır. Böylece nokta atışı çalışır, zaman kazanırsın.
Sınava özel videolar —konu anlatımları, çıkmış sorular ve çözümleri, özet notlar—içerir. Sınavda sıkça çıkan soruları hedefler. Eğitmenlerimiz, üniversitenin akademik takvimini takip ederek paketleri sürekli günceller. Böylece, gereksiz detaylarla vakit kaybetmeden başarını artırmaya odaklanabilirsin.