TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF SCIENCE AND LETTERS |
| ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING PR. (ENGLISH) | |
| Code | YZZ208 |
| Name | Signals and Systems |
| Term | 2026-2027 Academic Year |
| Semester | 4. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Label | FE Field Education Courses C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. YUSUF ALPER KAPLAN |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
This course aims to provide with the basic mathematical concepts that useful for data communications, circuit design, control, image and speech processing. MATLAB based examples included in response to software developments, the wider availability of information technology, developments in the teaching of signal processing.
Course Content
Classification of Signals and Basic Signal Properties. Some MATLAB Examples. Time Domain Models of Linear Time Invariant (LTI) Systems: Continuous time systems. Basic system properties. Causal LTI systems described by differential equations.
Course Precondition
none
Resources
SCHAUM’S OUTLINES OF SIGNALS & SYSTEMS
Notes
SCHAUM’S OUTLINES OF SIGNALS & SYSTEMS
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Understanding basic signal properties and analyzing linear time-invariant (LTI) systems in the time domain. |
| LO02 | Analyzing LTI systems in the frequency, s (Laplace transform), and z (Z transform) domains. |
| LO03 | Comprehending Laplace and Z transforms and using them to study LTI systems. |
| LO04 | Analyzing the behavior of LTI systems with random inputs. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | It provides a broad range of knowledge about fundamental Computer Science concepts, algorithms and data structures. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Learns basic computer topics such as software development, programming languages, and database management. | 5 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Understands advanced computing fields such as data science, artificial intelligence, and machine learning. | |
| PLO04 | - | Learn about topics such as computer networks, cyber security, and database design. | 5 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Develops skills in designing, implementing and analyzing algorithms. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Gains the ability to use different programming languages effectively | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Learns data analysis, database management and big data processing skills. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Gains practical experience by working on software development projects. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Strengthens collaboration and communication skills within the team. | |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | It provides a mindset open to technological innovations. | |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Encourages continuous learning and self-improvement competence. | |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Develops the ability to solve complex problems. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Classification of Signals | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 2 | Basic System Properties | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 3 | Linear Time Invariant (LTI) Systems | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 4 | Time Domain Models of Linear Systems | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 5 | Time Domain Analysis of Linear Systems | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 6 | Frequency Domain Models of Linear Sytems | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 7 | Analysis of Frequency Domain Models | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Study to lecture notes and applications | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Frequency Domain Models of LTI Sytems | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 10 | The Laplace Transform of Linear time invariant Systems | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 11 | s-Domain Models of LTI Systems | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 12 | The Laplace Transform of LTI Systems | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 13 | The z-Transform of Linear time invariant Systems | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 14 | The z-Domain Models of Linear Systems | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 15 | LTI Systems With Random Inputs | Reading of corresponding chapter of the text book | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Study to lecture notes and applications | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Study to lecture notes and applications | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 10 | 10 |
| Total Workload (Hour) | 100 | ||
| Total Workload / 25 (h) | 4,00 | ||
| ECTS | 4 ECTS | ||