Course Code	Semester	Course Name	LE/RC/LA	Course Type	Language of Instruction	ECTS
CSE0547		Natural Language Processing (Not offered.)	3/0/0	DE	Turkish	9

Course Goals	Introduce Natural Language and its applications; Show its possible applications/realizations and associated constraints.
Prerequisite(s)	-
Corequisite(s)	-
Special Requisite(s)	A good level of English
Instructor(s)	Professor Banu Diri
Course Assistant(s)	Good level of English to know
Schedule	Day, hours, XXX Campus, classroom number.
Office Hour(s)	Assoc.Prof.Dr. Banu Diri, day, hours, XXX Campus, office number.
Teaching Methods and Techniques	Lecture, Discussion, Research
Principle Sources	Natural Language Understanding, J.Allen, Benjamin-Cummings
Other Sources	Speech and Language Processing, Jurafsky and Martin, Prentice Hall Foundations of Statistical Natural Language Processing, C. D. Manning, H. Schütze, MIT Handbook of Natural Language Processing, R. Dale, H. Moisl, H.Somers, Marcel Dekker

Course Schedules
Week	Contents	Learning Methods
1. Week	Introduction to Natural Language Processing	Oral Presentation
2. Week	Linguistic Essentials	Oral Presentation
3. Week	Language Models	Oral Presentation
4. Week	Grammer and Languages	Oral Presentation
5. Week	Syntactic Analysis	Oral Presentation
6. Week	Regular Expression	Oral Presentation
7. Week	Morphological Anaysis	Oral Presentation
8. Week	Corpora for NLP	Oral Presentation
9. Week	Introduction to Machine Learning-1	Oral Presentation
10. Week	Introduction to Machine Learning-2	Oral Presentation
11. Week	Text Categarization	Oral Presentation
12. Week	Information Retrieval	Oral Presentation
13. Week	Text Indexing and Retrieval	Oral Presentation
14. Week	Question Answering	Oral Presentation
15. Week	Collocations	Oral Presentation
16. Week	Hidden Markov Models	Oral Presentation
17. Week	Presentation of Term Project	Project Presentation

Assessments
Evaluation tools	Quantity	Weight(%)
Midterm(s)	1	15
Homework / Term Projects / Presentations	1	15
Project(s)	1	50
Final Exam	1	20

Program Outcomes PO-1 an ability to apply knowledge from undergraduate and graduate engineering and other disciplines to identify, formulate, and solve novel and complex electrical/computer engineering problems that require advanced knowledge within the field PO-2 knowledge of advanced topics within at least two subdisciplines of computer engineering PO-3 the ability to understand and integrate new knowledge within the field; PO-4 the ability to apply advanced technical knowledge in multiple contexts PO-5 a recognition of the need for, and an ability to engage in, life-long learning PO-6 the ability to plan and conduct an organized and systematic study on a significant topic within the field PO-7 an ability to convey technical material through formal written reports which satisfy accepted standards for writing style PO-8 the ability to analyze and use existing literature PO-9 the ability to demonstrate effective oral communication skills PO-10 the ability to stay abreast of advancements in the area of computer engineering

Learning Outcomes LO-1 Ability to apply basic sciences in the field of computer engineering LO-2 Ability to design systems to meet desired needs LO-3 Ability to function as a member of a team LO-4 Ability to create algorithmic solutions to inspect, improve and enhance existing systems by means of analytical approaches LO-5 Ability to possess professional and ethical responsibilities, taking charge and fulfiling the requirements LO-6 Ability to communicate effectively in written/spoken Turkish and English LO-7 The ability to possess the necessary level of education to pursuit engineering advances and to develop them LO-8 Comprehend the necessity of life-long learning and gain the ability of self-learning LO-9 Ability to use techniques and modern engineering tools necessary for engineering practice

Course Assessment Matrix:

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7	PO 8	PO 9	PO 10
LO 1
LO 2
LO 3
LO 4
LO 5
LO 6
LO 7
LO 8
LO 9