| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Natural Language Processing | SWE 420 | 8 | 3 + 0 | 3 | 5 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | İngilizce |
| Dersin Seviyesi | Lisans |
| Dersin Türü | Seçmeli |
| Dersin Koordinatörü | Dr.Öğr.Üyesi GÖZDE YOLCU ÖZTEL |
| Dersi Verenler | |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Alanına Uygun Temel Öğretim |
| Dersin Amacı | Teaching fundamental concepts and algorithms for data mining. |
| Dersin İçeriği | Introduction to data mining, Data, Classification( Nearest Neighbor Classifiers, Naïve Bayes Classifier, Artificial Neural Networks, Support Vector Machine, Class Imbalance Problem, Association Analysis Concepts, Cluster Analysis Concepts, Anomaly Detection |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Learns the basis of natural language processing | Self Study, | Testing, |
| 2 | Learns basic methods and algorithms about natural language processing | Discussion, Lecture, Brain Storming, | Homework, Testing, |
| 3 | Design a natural language processing system | Group Study, Project Based Learning, | Performance Task, Testing, Project / Design, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Introduction to natural language processing | |
| 2 | Regular expressions, text normalization | |
| 3 | Naive bayes and sentiment classification | |
| 4 | Logistic regression | |
| 5 | Vector semantics and embeddings | |
| 6 | Neural networks and neural language models | |
| 7 | Part-of-speech tagging | |
| 8 | Sequence processing with recurrent networks | |
| 9 | Encoder-decoder models, attention and contextual embeddings | |
| 10 | Machine translation | |
| 11 | Constituency grammars | |
| 12 | Constituency Parsing | |
| 13 | Logical representations of sentence meaning | |
| 14 | Project presentation |
| Kaynaklar | |
|---|---|
| Ders Notu | |
| Ders Kaynakları | |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions. | X | |||||
| 2 | An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations. | X | |||||
| 3 | An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently. | X | |||||
| 4 | An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods. | X | |||||
| 5 | An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research. | X | |||||
| 6 | Understanding, awareness of administration, control, development and security/reliability issues about information technologies. | ||||||
| 7 | An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility. | X | |||||
| 8 | An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language. | ||||||
| 9 | An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology. | ||||||
| 10 | Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society. | ||||||
| 11 | An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications. | ||||||
| 12 | An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems. | ||||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| Toplam | 0 |
| Toplam | 0 |
| AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 3 | 48 |
| Mid-terms | 1 | 10 | 10 |
| Quiz | 2 | 5 | 10 |
| Assignment | 1 | 10 | 10 |
| Final examination | 1 | 10 | 10 |
| Toplam İş Yükü | 136 | ||
| Toplam İş Yükü / 25 (Saat) | 5,44 | ||
| Dersin AKTS Kredisi | 5 | ||