ISTANBUL SEHIR UNIVERSITY
School of Engineering & Natural Sciences
SYLLABUS
Electrical Engineering and Computer Science Courses
2019 Spring Semester
Course Code
EECS 216
Prerequisite
Course Name
Signals and Systems
Course Type
Weekly Hours
T
A
L
Compulsory
3
Sophomore/Junior Students
Phone
Teaching Methods
Fri. 14:00 -­‐ 18:00
Fri. 10:00 -­‐ 13:00
Office / Room No
E-­‐mail
Learning Outcomes
5
Campus / Weekly Time & Classroom Schedule
Office / Room No AB8 06
Phone
Textbooks/
References
3
0
Office Hours
Schedule
ahmetademoglu@sehir.edu.tr
Teaching Assistant Course
Objectives
ECTS
Prerequisite to
Course Lecturers Ahmet Ademoğlu E-­‐mail
1
Credits
In this course, we study the mathematical foundations of signals and systems in engineering and natural sciences. The concepts that we use to represent and analyze the signals and systems apply to diverse areas as communications, aeronautics, avionics, circuit design, seismology, oil/mine engineering, earthquake engineering, biomedical enginering, energy generation and distribution, chemical process control, speech processing, automotive engineering, automatic control engineering, economics, finance engineering, industrial and management systems. 1. Signals and Systems, 2nd Edition Alan Oppenheim, Alan Willisky, Prentice Hall, 1997.
1
Basic concepts as linearity, time invariance, discrete or continuous time representation, periodicity, stabiliy and causality
2
Representation of systems through their input output relationships
3
Mathematical analysis of signals and systems using Fourier, Laplace and z transforms
4
Time and frequency domain characteristics of signals and systems
5
Modulation and filtering of signals
Lecturing, reading assignments and open book tutorial quizzes. WEEK
Work required for that week
Week 1
Introduction to Linear Systems
Chapter 1
Week 2
Linear Time Invariant Systems
Chapter 2
Week 3
Continuous Time Fourier Transform Chapter 4
Week 4
Continuous Time Fourier Transform Chapter 4
Week 5
Laplace Transform Chapter 9
Week 6
Laplace Transform Chapter 9
Week 7
Discrete Time Fourier Transform Chapter 5
Week 8
Discrete Time Fourier Transform Chapter 5
Week 9
z Transform Chapter 10
Week 10
z Transform Chapter 10
Week 11
Fourier Series of Continuous Time Periodic Signals
Chapter 3
Week 12
Fourier Series of Continuous Time Periodic Signals
Chapter 3
Week 13
Fourier Series of Discrete Time Periodic Signals
Chapter 3
Week 14
Fourier Series of Discrete Time Periodic Signals
FINAL EXAM
Chapter 3
Week 15
Reading Assignment Evaluation Tool
Assessment
Methods
and
Criteria
Quantity
Final Exam
Semester Evaluation
Attendance, active tutorials, Quizzes
In-­‐term exams
Homework Assignments
Date
Weight in %
1
30
70
1
2
1
20
40
10
*** ECTS Credit Calculation ***
Evaluation Tool
Theoretical hours
Pre-­‐class self study
Post-­‐class self study
Hour
Quantity
3
1
2
14.0
14.0
14.0
Language of Instruction: English
Student Workload
Evaluation Tool
Hours
42
14
28
Hour
In Term Exam 5
Final Exam 5
Assignments 5
Quantity
Student Workload Hours
2
1
10
10.0
5.0
50.0
GENERAL TOTAL HOURS: Recommended ECTS Credit (Total Hours / 30) :
149.0
5