EE 204 Signals and SystemsMEF UniversityDegree Programs Civil EngineeringGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
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 EN
Type of Course Flipped Classroom
Level of Course Introductory
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,HW
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 Asst. Prof. Dr. TUBA AYHAN

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 ReadingsOppenheim, Willsky and Nawab, Signals and Systems, 2nd edition.
Teaching MethodsLectures/contact hours using “flipped classroom” as an active learning technique
Homework and ProjectsHomework 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 WorkNone
Computer UseNot required
Other ActivitiesNone
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