Akademik Dersler - Tanıtım


Code - Course Title	EEM467 - Digital Communications
Course Type	Area Elective Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	5.0
Course Instructor(s)	PROFESÖR NURAY AT
Mode of Delivery	The mode of delivery of this course is face-to-face.
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There is no recommended optional programme component for this course.
Recommended Reading List	NA
Assessment methods and criteria	One midterm, quizzes, final
Work Placement	Not applicable
Sustainability Development Goals

Weeks	Topics
Week - 1	Binary Signal Detection and Hypothesis Testing
Week - 2	Probability of Error
Week - 3	Gram-Schmidt Method; Vector Representation of Signals
Week - 4	M-PAM, M-PSK
Week - 5	M-QAM
Week - 6	Quiz
Week - 7	M-FSK
Week - 8	Correlation Type Demodulation, Matched Filter Type Demodulation
Week - 9	ML and MAP Estimators
Week - 10	Probability of Error in Additive White Gaussian Noise
Week - 11	Comparison of Modulation Methods
Week - 12	Midterm
Week - 13	Convolutional Coding and Decoding
Week - 14	Convolutional Coding and Decoding

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	35
Quiz	1	25
Final Exam	1	40
Toplam (%)		100