PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
CENG 487	NATURAL LANGUAGE PROCESSING	3 + 0	5th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	Natural Language Processing, a subdivision of artificial intelligence, aims to develop techniques for processing language that people use. By using these techniques, applications are being developed in many fields such as increasing human machine communication, machine translation, fast information extraction. The aim of this course is to introduce the basic techniques in the field of Natural Language Processing and the current research topics in this area to the students.
Course Content	Natural Language Processing Levels and Transitions between them, Phonetics, Morphology, Semantics, Language Modeling, Word Tagging, Morphology Uncertainty Elimination, Spelling Correction, Grammars and Parsing Algorithms, Word Meaning Uncertainty Elimination, Machine Translation
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Students will learn basic knowledge in natural language processing.
2	Students will learn the basic approaches used in natural language processing.
3	Students will learn the basic statistical approaches used in the field of natural language processing.
4	Students will learn basic rule-based approaches used in natural language processing.

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001							5	4	5	4	5	4
LO 002							3	4	3	3	3	3
LO 003							3	3	3	2	3	4
LO 004							3	2	2	3	4	4
Sub Total							14	13	13	12	15	15
Contribution	0	0	0	0	0	0	4	3	3	3	4	4

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	3	42
Assignments	2	10	20
Mid-terms	1	10	10
Final examination	1	16	16
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student