CEN218 Signals and Systems

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

Information

Unit FACULTY OF ENGINEERING
COMPUTER ENGINEERING PR. (ENGLISH)
Code CEN218
Name Signals and Systems
Term 2021-2022 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
Label C Compulsory
Mode of study Uzaktan Öğretim
Catalog Information Coordinator Prof. Dr. RAMAZAN ÇOBAN
Course Instructor Prof. Dr. RAMAZAN ÇOBAN (Bahar) (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

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understand basic signal properties
LO02 Analyse linear tima invariant (LTI) systems in time domain
LO03 Analyse LTI systems in frequency domain
LO04 Understand the Laplace transform and analyse LTI systems in s domain
LO05 Understand the z transform and analyse LTI systems in z domain
LO06 Analyse 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. 4
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 and Basic Signal Properties. Reading of corresponding chapter of the text book
2 Classification of Signals and Basic Signal Properties Reading of corresponding chapter of the text book
3 Time Domain Models of Linear Time Invariant (LTI) Systems Reading of corresponding chapter of the text book
4 Time Domain Models of Linear Time Invariant (LTI) Systems Reading of corresponding chapter of the text book
5 Time Domain Models of Linear Time Invariant (LTI) Systems Reading of corresponding chapter of the text book
6 Frequency Domain Models of LTI Sytems Reading of corresponding chapter of the text book
7 Frequency Domain Models of LTI Sytems Reading of corresponding chapter of the text book
8 Mid-Term Exam Mid-term exam
9 Frequency Domain Models of LTI Sytems Reading of corresponding chapter of the text book
10 The Laplace Transform and s-Domain Models of LTI Systems Reading of corresponding chapter of the text book
11 The Laplace Transform and s-Domain Models of LTI Systems Reading of corresponding chapter of the text book
12 The Laplace Transform and s-Domain Models of LTI Systems Reading of corresponding chapter of the text book
13 The z-Transform and z-Domain Models of LTI Systems Reading of corresponding chapter of the text book
14 The z-Transform and z-Domain Models of LTI Systems Reading of corresponding chapter of the text book
15 LTI Systems With Random Inputs Reading of corresponding chapter of the text book
16 Term Exams term exams
17 Term Exams term exams


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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: 17.06.2025 01:59