Computer Engineering
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: ELE202
Course Name: Signals and Systems
Semester: Spring
Course Credits:
ECTS
6
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Compulsory Courses
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator: Araş. Gör. AYŞENUR ESER
Course Lecturer(s): Dr. Öğr. Üy. FEVZİ AYTAÇ DURMAZ
Course Assistants:

Course Objective and Content

Course Objectives: The goal of this course is to provide the necessary mathematical knowledge to perform basic analyses of signals and systems
Course Content: Continuous and Discrete Time Signals and their Properties, Continuous and Discrete Time Systems and their Properties, Linear Time-Invariant Systems, Convolution in Continuous and Discrete Time Systems, Difference Equations, Fourier Analysis of Continuous and Discrete Time Signals, Fourier Series Expansion, Fourier Transform, Laplace Transform, z-Transform

Learning Outcomes

The students who have succeeded in this course;
1) 1) Acquires the necessary mathematical knowledge to analyze signals and systems
2) 2) Gains the ability to determine the fundamental properties of signals and systems.
3) 3) Obtains the knowledge to perform mathematical transformations on signals.
4) 4) Attains the ability to calculate the output of a linear system.
5) 5) Develops the skills to perform analysis of a system.

Course Flow Plan

Week Subject Related Preparation
7) Fourier Transform
8) Midterm

Sources

Course Notes / Textbooks: A.V. Oppenheim, A.S. Willsky, “Signals and Systems”, Prentice Hall
References:

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

4

5

Program Outcomes
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems
2) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
3) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
4) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.
5) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
6) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.
10) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
11) Ability to work effectively within and multidisciplinary teams; individual study skills.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems
2) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
3) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
4) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.
5) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
6) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.
10) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
11) Ability to work effectively within and multidisciplinary teams; individual study skills.

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Project 1 % 30
Midterms 1 % 30
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Preparation for the Activity Spent for the Activity Itself Completing the Activity Requirements Workload
Course Hours 13 3 39
Study Hours Out of Class 13 3 39
Project 1 20 20
Midterms 1 20 20
Final 1 20 20
Total Workload 138