EE 204 • Midterm • Signals and Systems
Bu dersimizde sinyaller ve sistemler dersinin temel konseptlerini öğreneceksiniz.
Haberleşme, görüntü işleme, analog devre tasarımı gibi bir çok önemli konunun temelini anlamış olacaksınız. Yaptığımız soru çözümleriyle, konseptleri problemlere uygulayabilir hale geleceksiniz.
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.
Geçme Garantisi
Derslerimize çok güveniyoruz. Dersi geçememen çok zor ama yine de geçemezsen paran iade.
Tüm koşullarPaketi Tamamla
🎓 MEF Üniversitesinde öğrencilerin %92'si tüm paketi alarak çalışıyor.
EE 204 • Final
Signals and Systems
Ahmet Nuri Çevik
1299 TL
EE 204 • Midterm
Signals and Systems
Ahmet Nuri Çevik
1299 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
Linear 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
CT Fourier Series
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
DT Fourier Series
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
Sample Midterm Questions
Question - 1 (Convolution)
Question - 2 (CT Fourier Series)
Question - 3 (CT Fourier Series)
Question - 4 (CT Fourier Series)
Question - 5 (System properties)
Question - 6 (System Properties)
Question - 7 (Fourier Transform, convolution, block diagrams)
Question - 8 (CT Filtering)
Question - 9 (CTFT)
Question - 10 (CT Filtering)
Question - 11 (Properties of Dirac Delta)
Question - 12 (Unit Impulse Functions)
Question - 13 (Convolution of DT Sequences)
Question - 14 (System Properties)
Question - 15 (CT LTI Systems and Convolution)
Question - 16 (Convolution Summation)
Question - 17 (Properties of Dirac Delta Function)
Question - 18 (Properties of CTFT)
Sample Midterm Questions - 2
System Properties
Convolution
System Properties
System Properties
Integration of Dirac and Unit Step
Step Response
Stability
Even-Odd Decomposition
System Properties
Convolution
Convolution
CT Fourier Series
CT Fourier Series
Convolution and Stability
Sample Midterm Questions - 3
Properties of DTFS
CTFT
CTFT
CTFT
CTFT
CTFT
CTFT
CTFT
CTFT
DTFS
DTFS
DTFT
DTFS
Değerlendirmeler
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
Linear 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
CT Fourier Series
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
DT Fourier Series
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
Sample Midterm Questions
Question - 1 (Convolution)
Question - 2 (CT Fourier Series)
Question - 3 (CT Fourier Series)
Question - 4 (CT Fourier Series)
Question - 5 (System properties)
Question - 6 (System Properties)
Question - 7 (Fourier Transform, convolution, block diagrams)
Question - 8 (CT Filtering)
Question - 9 (CTFT)
Question - 10 (CT Filtering)
Question - 11 (Properties of Dirac Delta)
Question - 12 (Unit Impulse Functions)
Question - 13 (Convolution of DT Sequences)
Question - 14 (System Properties)
Question - 15 (CT LTI Systems and Convolution)
Question - 16 (Convolution Summation)
Question - 17 (Properties of Dirac Delta Function)
Question - 18 (Properties of CTFT)
Sample Midterm Questions - 2
System Properties
Convolution
System Properties
System Properties
Integration of Dirac and Unit Step
Step Response
Stability
Even-Odd Decomposition
System Properties
Convolution
Convolution
CT Fourier Series
CT Fourier Series
Convolution and Stability
Sample Midterm Questions - 3
Properties of DTFS
CTFT
CTFT
CTFT
CTFT
CTFT
CTFT
CTFT
CTFT
DTFS
DTFS
DTFT
DTFS
Geçme Garantisi
Derslerimize çok güveniyoruz. Dersi geçememen çok zor ama yine de geçemezsen paran iade.
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.