| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits | Last Updated Date |
| 8 | BLMS404 | Natural Language Processing | 3+0+0 | 3 | 5 | 03.10.2024 |
|
Language of Instruction
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Turkish
|
|
Level of Course Unit
|
Bachelor's Degree
|
|
Department / Program
|
Computer Engineering
|
|
Type of Program
|
Formal Education
|
|
Type of Course Unit
|
Elective
|
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Course Delivery Method
|
Face To Face
|
|
Objectives of the Course
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Introduce Natural Language and its applications; Show its possible applications/realizations and associated constraints.
|
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Course Content
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Morphological analysis of the language;Different grammar structure; Clustering and Classification Algorithms;Information Retrieval; Question Answering, Collacation.
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Course Methods and Techniques
|
|
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Prerequisites and co-requisities
|
None
|
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Course Coordinator
|
Asist Prof.
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Name of Lecturers
|
Asist Prof.Dr. BAŞAK BULUZ KÖMEÇOĞLU
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Assistants
|
None
|
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Work Placement(s)
|
No
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Recommended or Required Reading
|
Resources
|
Natural Language Understanding, J.Allen, Benjamin-Cummings.
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Course Notes
|
Lectures, Question-Answer, Project.
|
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Assignments
|
Bir grup projesi
|
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Exams
|
Vize ve Final Sınavları
|
Course Category
|
Mathematics and Basic Sciences
|
%0
|
|
|
Engineering
|
%10
|
|
|
Engineering Design
|
%10
|
|
|
Social Sciences
|
%0
|
|
|
Education
|
%0
|
|
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Science
|
%0
|
|
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Health
|
%0
|
|
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Field
|
%80
|
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Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
|
In-Term Studies
|
|
Mid-terms
|
1
|
%
20
|
|
Project
|
1
|
%
20
|
|
Final examination
|
1
|
%
60
|
|
Total
|
3
|
%
100
|
ECTS Allocated Based on Student Workload
|
Activities
|
Total Work Load
|
|
Course Duration
|
14
|
3
|
42
|
|
Hours for off-the-c.r.stud
|
14
|
3
|
42
|
|
Mid-terms
|
1
|
2
|
2
|
|
Practice
|
14
|
2
|
28
|
|
Project
|
1
|
10
|
10
|
|
Final examination
|
1
|
2
|
2
|
|
Total Work Load
| |
|
Number of ECTS Credits 4
126
|
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
|
1
| The student will know the convenience of using Natural Language in our ordinary life. |
|
2
| The student will learn the algorithms and methods on the Natural Language Processing domain. |
|
3
| The students will recognize and use the domestic and foreign tools. |
|
4
| The student will learn all the concept about Natural Language Processing. |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Introduction to Natural Language Processing.
|
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| 2 |
Linguistic Essentials.
|
|
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| 3 |
Language Models.
|
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| 4 |
Grammer and Languages.
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|
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| 5 |
Syntactic Analysis.
|
|
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| 6 |
Morphological Anaysis.
|
|
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| 7 |
Review.
|
|
|
| 8 |
Midterm exam.
|
|
|
| 9 |
Cloud Development: Dev 2.0 platforms. Software Architecture.
|
|
|
| 10 |
Text Categarization.
|
|
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| 11 |
Information Retrieval.
|
|
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| 12 |
Text Indexing and Retrieval.
|
|
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| 13 |
Question Answering.
|
|
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| 14 |
Review.
|
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Contribution of Learning Outcomes to Programme Outcomes
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https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=243253&curProgID=5607&lang=en