CEN218 Signals and Systems

3 ECTS - 3-0 Duration (T+A)- 4. Semester- 3 National Credit

Information

Code CEN218
Name Signals and Systems
Term 2024-2025 Academic Year
Semester 4. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. RAMAZAN ÇOBAN
Course Instructor
1 2
Prof. Dr. RAMAZAN ÇOBAN (A Group) (Ins. in Charge)


Course Goal / Objective

This course aims to provide Computers Engineering students 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

unavailable

Resources

SCHAUM’S OUTLINES OF SIGNALS & SYSTEMS

Notes

SCHAUM’S OUTLINES OF SIGNALS & SYSTEMS


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Can understand fundamental signal properties and analyze linear time-invariant (LTI) systems in the time, frequency, s, and z domains.
LO02 Can understand and use Laplace and Z transforms to solve and analyze LTI systems.
LO03 Can examine and analyze the behavior of LTI systems with random inputs.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Adequate knowledge of mathematics, science and related engineering disciplines; ability to use theoretical and applied knowledge in these fields in solving complex engineering problems.
PLO02 Bilgi - Kuramsal, Olgusal Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 5
PLO03 Bilgi - Kuramsal, Olgusal Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
PLO04 Bilgi - Kuramsal, Olgusal Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
PLO06 Bilgi - Kuramsal, Olgusal Ability to work effectively in interdisciplinary and multidisciplinary teams; individual working skills.
PLO07 Bilgi - Kuramsal, Olgusal Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
PLO08 Bilgi - Kuramsal, Olgusal Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself.
PLO09 Bilgi - Kuramsal, Olgusal Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice.
PLO10 Bilgi - Kuramsal, Olgusal Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
PLO11 Bilgi - Kuramsal, Olgusal Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.


Week Plan

Week Topic Preparation Methods
1 Classification of Signals Reading of corresponding chapter of the text book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Basic System Properties Reading of corresponding chapter of the text book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Linear Time Invariant (LTI) Systems Reading of corresponding chapter of the text book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Time Domain Models of Linear Systems Reading of corresponding chapter of the text book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
5 Time Domain Analysis of Linear Systems Reading of corresponding chapter of the text book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
6 Frequency Domain Models of Linear Sytems Reading of corresponding chapter of the text book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
7 Analysis of Frequency Domain Models Reading of corresponding chapter of the text book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
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, Soru-Cevap
10 The Laplace Transform of Linear time invariant Systems Reading of corresponding chapter of the text book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
11 s-Domain Models of LTI Systems Reading of corresponding chapter of the text book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
12 The Laplace Transform of LTI Systems Reading of corresponding chapter of the text book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
13 The z-Transform of Linear time invariant Systems Reading of corresponding chapter of the text book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
14 The z-Domain Models of Linear Systems Reading of corresponding chapter of the text book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
15 LTI Systems With Random Inputs Reading of corresponding chapter of the text book Öğretim Yöntemleri:
Anlatım, Soru-Cevap
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 2 28
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) 86
Total Workload / 25 (h) 3,44
ECTS 3 ECTS

Update Time: 19.11.2024 01:13