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EEE 321

Signals and Systems

EEE 321 is where you stop thinking of signals as just voltages on an oscilloscope and start treating them as mathematical objects you can decompose, transform, and filter — the central move is learning to switch fluently between time and frequency domains via Fourier and z-transforms, and to reason about any LTI system through its impulse response or transfer function. You'll work through Oppenheim & Willsky problem sets alongside six MATLAB labs where the abstractions become concrete: convolving signals, designing FIR/IIR filters, sampling and reconstructing, and demodulating a basic AM signal. This is the analytical backbone for everything downstream in EE — communications, control, DSP, image processing — so the fluency you build here is what later courses quietly assume you already have.

Credit4ECTS6.5FacultyFaculty of EngineeringBölümElectrical and Electronics EngineeringPreEEE 202MüfredatY3 Güz

Değerlendirme 100% — 4 adım

30%
35%
25%
10%
Midterm Midterm Exam 30%
Final Final Exam 35%
Lab work Average Grade of All Lab Work (6 Labs) 25%
Quiz Homework Quiz 10%

Önerilen kaynaklar 1 kitap

📕
Zorunlu
Signals and Systems
Alan V. Oppenheim, Alan S. Willsky
with S. Hamid Nawab · second (new international) edition

Haftalık müfredat 14 hafta

Hafta 1
Introduction to Signals and Systems
Hafta 2
Linear Time-Invariant Systems I
Hafta 3
Linear Time-Invariant Systems II
Hafta 4
Fourier Series Representation of Periodic Signals
Hafta 5
The Continuous-Time Fourier Transform I
Hafta 6
The Continuous-Time Fourier Transform II
Hafta 7
The Discrete-Time Fourier Transform I
Hafta 8
The Discrete-Time Fourier Transform II
Hafta 9
Time and Frequency Characterization of Signals and Systems
Hafta 10
Sampling I
Hafta 11
Sampling II
Hafta 12
The Z-Transform I
Hafta 13
The Z-Transform II
Hafta 14
Communication Systems

🤖 GenAI politikası

GenAI Policy: Please read and comply with the document "Guidelines for the Use of Generative Artificial Intelligence (GenAI) Tools at Bilkent" at https://w3.bilkent.edu.tr/bilkent/generative-artificial-intelligence-genai-guideline/ GenAI will not be used in the teaching of this course. At this time, we do not have any recommendations regarding its use in your own self-learning of the material. We welcome you to share your experiences if you believe it is enhancing your learning as this can shape

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EEE 321 için defter ekibi henüz not yazmadı.

İlk dosyayı sen atarsan — not, slayt, geçmiş sınav, çözüm, cheat-sheet, ne varsa — defter ekibi öğrenci paylaşımlarından bu dersin notlarını yazar. Drive linki / PDF / ZIP, hepsi olur.

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Geçmiş GPA dağılımı 48 dönem · ort. 2.19

DönemCourse CPA
2025-2026 Fall 2.98 2 sec · 118 öğr
2024-2025 Fall 2.21 2 sec · 111 öğr
2024-2025 Summer 2.29 1 sec · 22 öğr
2024-2025 Spring 2.47 2 sec · 91 öğr
2023-2024 Fall 2.56 2 sec · 117 öğr
2023-2024 Summer 2.16 1 sec · 41 öğr
2023-2024 Spring 2.34 2 sec · 117 öğr
2022-2023 Fall 1.93 2 sec · 95 öğr
2022-2023 Spring 2.39 2 sec · 93 öğr
2021-2022 Fall 1.44 4 sec · 117 öğr

Aggregate course GPA — Bilkent STARS'tan public data. Hoca-bazlı per-section detayı için STARS evaluation report →. Öğrenci anket cevapları KVKK kapsamında defter'de tutulmaz.

⚠️ FZ engelleyen şartlar

A score of 35/100 or higher on the midterm is required.

Hocalar 1 bu dönem · 11 geçmiş

Bu dönem (2025-2026 Spring) · 2 section
Haldun Özaktaş ×2
Geçmişte ders veren (11 kişi)
Mehmet Alper Kutay, Billur Barshan, Levent Onural, Süleyman Serdar Kozat, Ahmet Enis Çetin, Tolga Mete Duman, Orhan Arıkan, Selim Olçum, Gökhan Bora Esmer, Onay Urfalıoğlu, Levent Öktem