Civil Engineering
Bachelor	Length of the Programme: 4	Number of Credits: 240	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF: Level 6

ECTS Course Information Package

School/Faculty/Institute

Faculty of Engineering

Course Code

EE 204

Course Title in English

Signals and Systems

Course Title in Turkish

İşaretler ve Sistemler

Language of Instruction

Type of Course

Ters-yüz öğrenme

Level of Course

Başlangıç

Semester

Spring

Contact Hours per Week

Lecture: 4

Recitation: None

Lab: None

Other: None

Estimated Student Workload

150 hours per semester

Number of Credits

6 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

MATH 115 - Calculus I

Co-requisites

None

Expected Prior Knowledge

Prior knowledge in differential and integral calculus and complex numbers is expected.

Registration Restrictions

Only undergraduate students

Overall Educational Objective

To learn how to analyze continuous-time and discrete-time signals and systems.

Course Description

This course provides a comprehensive understanding of continuous-time and discrete-time signals and systems. The following topics are covered: fundamental concepts: linearity, stability; time and frequency analysis of continuous-time and discrete-time signals; Fourier Series, Fourier Transform, Laplace Transform, Discrete Fourier Transform, z-Transform; Sampling.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Comprehend continuous-time and discrete-time signals and systems, and their properties;
2) Analyze continuous-time and discrete-time signals and systems in time-domain;
3) Analyze continuous-time and discrete-time signals and systems in frequency domain;
4) Apply Laplace Transform and z-Transform to determine system behavior.

Program Learning Outcomes/Course Learning Outcomes	1	2	3	4
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics	H	Exam,Homework
2)	An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors	N
3)	An ability to communicate effectively with a range of audiences	N
4)	An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts	N
5)	An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives	N
6)	An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions	N
7)	An ability to acquire and apply new knowledge as needed, using appropriate learning strategies	N

Prepared by and Date	EBRU ARISOY SARAÇLAR , April 2018
Course Coordinator	EBRU ARISOY SARAÇLAR
Semester	Spring
Name of Instructor

Course Contents

Week	Subject
1)	Introduction to Signals and Systems
2)	Linear Time-Invariant Systems
3)	Linear Time-Invariant Systems
4)	Fourier Series Representation of Periodic Signals
5)	Fourier Series Representation of Periodic Signals
6)	The Continuous-Time Fourier Transform
7)	The Continuous-Time Fourier Transform/The Discrete-Time Fourier Transform
8)	The Discrete-Time Fourier Transform
9)	Time and Frequency Characterization of Signals and Systems
10)	Sampling
11)	Sampling
12)	The Laplace Transform
13)	The Laplace Transform/z-transform
14)	The z-transform
15)	Final Exam/Project/Presentation Period
16)	Final Exam/Project/Presentation Period

Required/Recommended Readings

Oppenheim, Willsky and Nawab, Signals and Systems, 2nd edition.

Teaching Methods

Lectures/contact hours using “flipped classroom” as an active learning technique

Homework and Projects

Homework questions will be assigned to the students and there will be quizzes containing questions from the homework assignments. There will be also pop quizzes related to lecture content.

Laboratory Work

None

Computer Use

Not required

Other Activities

None

Assessment Methods

Assessment Tools	Count	Weight
Quiz(zes)	5	% 10
Midterm(s)	2	% 60
Final Examination	1	% 30
TOTAL		% 100

Course Administration

Instructor’s office and phone number: 5th Floor, (0212) 3953677 office hours: TBA email address: saraclare@mef.edu.tr Rules for attendance: - Missing a quiz: No make-up will be given. Missing a midterm: Provided that proper documents of excuse are presented, a make-up exam will be given for each missed midterm. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations http://3fcampus.mef.edu.tr/uploads/cms/webadmin.mef.edu.tr/4833_2.pdf

ECTS Student Workload Estimation

Activity	No/Weeks	Hours			Calculation
	No/Weeks per Semester	Preparing for the Activity	Spent in the Activity Itself	Completing the Activity Requirements
Course Hours	14	2	4		84
Quiz(zes)	5	4	0.5		22.5
Midterm(s)	2	10	2		24
Final Examination	1	20	2		22
Total Workload					152.5
Total Workload/25					6.1
ECTS					6