COMPUTER ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | 1410002009 | ||||||||
Ders İsmi: | Natural Language Processing | ||||||||
Ders Yarıyılı: |
Fall Spring |
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Ders Kredileri: |
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Language of instruction: | TR | ||||||||
Ders Koşulu: | |||||||||
Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||
Type of course: | Bölüm Seçmeli | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Dr.Öğr.Üyesi Recep DURANAY | ||||||||
Course Lecturer(s): | |||||||||
Course Assistants: |
Course Objectives: | To meet with natural language and its application areas; Implementing possible applications |
Course Content: | Morphological analysis of language; Different grammatical structures; Clustering and Classification Algorithms; Information Extraction; Question Answering; Natural Language Processing Applications |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Introduction to Natural Language Processing | |
2) | Fundamentals of Linguistics and Language Models | |
3) | Syntactic Analysis and Morphological Analysis | |
4) | Introduction to Machine Learning | |
5) | Regular Expressions | |
6) | Finding an Entity Name | |
7) | Text Classification | |
8) | Midterm | |
9) | String Algorithms | |
10) | Hidden Markov Models and Applications | |
11) | Information Extraction | |
12) | Text Indexing and Access | |
13) | Question Answering | |
14) | Collocation | |
15) | Final |
Course Notes / Textbooks: | Natural Language Understanding, J.Allen, Benjamin-Cummings 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 |
References: | Natural Language Understanding, J.Allen, Benjamin-Cummings 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 |
Ders Öğrenme Kazanımları | 1 |
2 |
3 |
5 |
4 |
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Program Outcomes | ||||||||||||||||
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering | ||||||||||||||||
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems. | ||||||||||||||||
3) PO 2.1) Identifying complex engineering problems | ||||||||||||||||
4) PO 2.2) Defining complex engineering problems | ||||||||||||||||
5) PO 2.3) Formulating complex engineering problems | ||||||||||||||||
6) PO 2.4) Ability to solve complex engineering problems | ||||||||||||||||
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods | ||||||||||||||||
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions. | ||||||||||||||||
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product | ||||||||||||||||
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | ||||||||||||||||
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | ||||||||||||||||
12) PO 4.3) Ability to use information technologies effectively. | ||||||||||||||||
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments | ||||||||||||||||
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation | ||||||||||||||||
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection | ||||||||||||||||
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics | ||||||||||||||||
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | PO 1.1) Sufficient knowledge in mathematics, science and computer engineering | |
2) | PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems. | |
3) | PO 2.1) Identifying complex engineering problems | |
4) | PO 2.2) Defining complex engineering problems | |
5) | PO 2.3) Formulating complex engineering problems | 5 |
6) | PO 2.4) Ability to solve complex engineering problems | |
7) | PO 2.5) Ability to choose and apply appropriate analysis and modeling methods | |
8) | PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions. | |
9) | PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product | |
10) | PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | |
11) | PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | |
12) | PO 4.3) Ability to use information technologies effectively. | |
13) | PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments | |
14) | PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation | |
15) | PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection | |
16) | PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics | |
17) | PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics |
Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) | |
Homework | |
Bireysel Proje | |
Sunum |
Semester Requirements | Number of Activities | Level of Contribution |
total | % | |
PERCENTAGE OF SEMESTER WORK | % 0 | |
PERCENTAGE OF FINAL WORK | % | |
total | % |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 40 | 3 | 120 |
Presentations / Seminar | 1 | 10 | 10 |
Project | 1 | 80 | 80 |
Midterms | 1 | 5 | 5 |
Final | 1 | 7 | 7 |
Total Workload | 222 |