Akademik Dersler - Tanıtım


Code - Course Title	EEM562 - Signal Coding
Course Type	Required Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)
Mode of Delivery	Face-to-face lectures and projects.
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	Digital signal processing, random processes, linear algebra.
Required or Recommended Resources	Anapod webpage of the course.
Recommended Reading List	Data Compression (David Solomon)
Assessment methods and criteria	2 midterms, 1 final, 1 project.
Work Placement	Projects.
Sustainability Development Goals

Weeks	Topics
Week - 1	Concept of data compression
Week - 2	Entropy and compressibility
Week - 3	Shannon and Huffman codes, arithmetic coding
Week - 4	Dictionary based data compression, LZ-X techniques
Week - 5	Sequence coding. Prediction.
Week - 6	Optimal linear prediction.
Week - 7	quantisation and its optimisation.
Week - 8	Vector quantization
Week - 9	Signal spaces
Week - 10	Transform and its optimisation
Week - 11	Wavelet transforms
Week - 12	Bit assignment and coding efficiency.
Week - 13	Image/sound/video coding
Week - 14	Project presentations

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0