Izlence

Course Code & Number:

EE 413

Course Title:

Communication Systems II

Level:

BS

Credit Hours/ ECTS Credits:

(2+0+2) 3 TEDU Credits, 5 ECTS Credits

Academic Year

2021

Semester

Güz

Catalog Description:

Sampling theorem. Pulse amplitude modulation. Quantization. Pulse code modulation. Baseband transmission of digital signals. Matched filter detection. Probability of error due to the noise. Intersymbol interference. Geometric representation of signal waveforms. Optimal receiver structure in additive white Gaussian noise (AWGN) channels. Graphical interpretation of decision regions. Union bound on the probability of error. Multidimensional digital modulation methods. Introduction to information theory. Entropy. Source-coding theorem. Lossless data compression. Experiments on quantization, probability of error analysis, bandpass transmission, and lossless data compression.

Pre-requisite / Co-requisite:

Instructor:

Hüseyin Uğur Yıldız

Syllabus File:

f2122_syllabus_ee413_01.pdf

Sap Event ID:

50168382

Office Hours:

Monday (14:00–15:00) or by appointment via e-mail

Teaching Assistant(s):

Muratcan Ayık

Required Reading:

Haykin, S., & Moher, M. (2010). Communication Systems. Int. Student Version, 5th Edition, Wiley.

Suggested / Recommended Reading:

1. Proakis, J. G., & Salehi, M. (2015). Fundamentals of Communication Systems. Global Edition, 2nd Editon, Pearson.
2. Haykin, S. (2014). Digital Communication Systems. 1st Edition, Wiley.

Learning Outcomes:

Upon successful completion of this course, students will be able to:
(1) List the sampling theorem, pulse amplitude modulation, pulse code modulation, and quantization,
(2) Explain baseband transmission of digital signals and matched filter detection in baseband digital communication systems,
(3) Utilize the probability of error concept to investigate baseband transmission systems performance,
(4) Analyze the geometric representation of multidimensional signal waveforms, optimal receiver structures, decision regions, and union bound on error probability for bandpass transmission systems,
(5) Evaluate the information theory principles including entropy, source-coding theorem, and lossless data compression,
(6) Collaborate with peers in conducting experiments on digital communications.

Software Usage:

MATLAB with Communications Systems Toolbox (https://www.mathworks.com/products/communications.html)

Learning Activities and Teaching Methods:

Assessment Methods and Criteria:

Student Workload:

Assessment Methods and Criteria Others:

Active Learning Exercises

Assignments / Grading:

A. Midterm Exam [30%]
There will be a closed-book and closed-notes midterm exam that will be on the 9th week.
B. Final Exam [40%]
There will be a cumulative closed-book & closed-note final exam covering all topics. The date and time of the final exam will be announced at the end of the semester.
C. Probability Review Quiz [4%]
There will be a closed-book & closed-note probability review quiz (on the 3rd week) covering all topics of the EE 304 course. Collaboration is not allowed in the probability review quiz.
D. Active Learning Exercises (ALEs) [10%]
There will be 2 closed-book Active Learning Exercises (ALEs) which will be performed as collaborative quizzes (5% for each quiz). In the first lecture of the ALE week, a group of 2 students gets a 2-question practice quiz to complete as a team. Each group needs to answer only one of the given questions. In the second lecture of the ALE week, a similar 2-question is divided into 2-separate slips of paper with one question each. Each group member completes one slip individually. The two ALE scores are combined with the individual score counting for 60% and the group quiz counting for 40% of the grade.
E. Lab Assignments [16%]
There will be 4 collaborative lab assignments with equal weight (4% for each lab). Each lab group consists of 2 students. Each lab session lasts 120 minutes. You are required to install MATLAB R2017a or newer versions with Communications Toolbox to your personal computers. Please see https://it.tedu.edu.tr/en/it/matlab for installing MATLAB on your computers.