Akademik Dersler - Tanıtım


Code - Course Title	BİL606 - Natural Language Processing
Course Type	Elective Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ GÖKHAN GÖKSEL
Mode of Delivery	Face to Face
Prerequisites	There are no prerequisites or co-requisites for this course.
Courses Recomended
Required or Recommended Resources
Recommended Reading List
Assessment methods and criteria	1 Midterm Exam, 1 Final Exam, 1 Homework, and 1 Report
Work Placement
Sustainability Development Goals

Weeks	Topics
Week - 1	N-gram Language Models
Week - 2	Naive Bayes and Text Classification
Week - 3	Vector Semantics and Embeddings
Week - 4	Large Language Models
Week - 5	Transformers
Week - 6	Masked Language Models
Week - 7	Post-training: Instruction Tuning, Alignment, and Test-Time Compute
Week - 8	Retrieval-based Models
Week - 9	Dil Modelleri Olarak RNN'ler
Week - 10	LSTMs as Language Models
Week - 11	Text Simplification
Week - 12	Text Simplification
Week - 13	Trends in NLP
Week - 14	Trends in NLP

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