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Information
| Code | CENG541 |
| Name | Information Retrieval Systems |
| Term | 2024-2025 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. SELMA AYŞE ÖZEL |
| Course Instructor |
1 |
Course Goal / Objective
Understanding the basic structure of information retrieval systems.
Course Content
Information retrieval strategies, index structures, query processing, and evaluation methods.
Course Precondition
Programming knowledge for text document processing is required.
Resources
D. Grossman & O. Frieder, Information Retrieval Algorithms and Heuristics. Second edition, Springer 2004.
Notes
Related recent papers
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Identifies basic natural language processing concepts. |
| LO02 | Understands the basic components of information retrieval systems. |
| LO03 | Identifies how search engines operate. |
| LO04 | Be able to design a simple information retrieval system. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | On the basis of the competencies gained at the undergraduate level, it has an advanced level of knowledge and understanding that provides the basis for original studies in the field of Computer Engineering. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | By reaching scientific knowledge in the field of engineering, he/she reaches the knowledge in depth and depth, evaluates, interprets and applies the information. | 2 |
| PLO03 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the new and developing practices of his / her profession and examining and learning when necessary. | 3 |
| PLO04 | Yetkinlikler - Öğrenme Yetkinliği | Constructs engineering problems, develops methods to solve them and applies innovative methods in solutions. | 2 |
| PLO05 | Yetkinlikler - Öğrenme Yetkinliği | Designs and applies analytical, modeling and experimental based researches, analyzes and interprets complex situations encountered in this process. | 3 |
| PLO06 | Yetkinlikler - Öğrenme Yetkinliği | Develops new and / or original ideas and methods, develops innovative solutions in system, part or process design. | 1 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Has the skills of learning. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Being aware of new and emerging applications of Computer Engineering examines and learns them if necessary. | 3 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Transmits the processes and results of their studies in written or oral form in the national and international environments outside or outside the field of Computer Engineering. | 1 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Has comprehensive knowledge about current techniques and methods and their limitations in Computer Engineering. | 2 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Uses information and communication technologies at an advanced level interactively with computer software required by Computer Engineering. | 4 |
| PLO12 | Bilgi - Kuramsal, Olgusal | Observes social, scientific and ethical values in all professional activities. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to information storage and retrieval (IR). | Reading of course notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 2 | Vector space model | Reading of course notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Probabilistic retrieval strategies | Reading of course notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Language models | Reading of course notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | Extended boolean retrieval | Reading of course notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 6 | Latent semantic indexing | Reading of course notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 7 | Neural networks, genetic algorithms, fuzzy set retrieval | Reading of course notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 8 | Mid-Term Exam | Reading of course notes | Ölçme Yöntemleri: Sözlü Sınav, Ödev |
| 9 | Relevance feedback | Reading of course notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 10 | Clustering, passage based retrieval | Reading of course notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | N-grams, thesauri, semantic networks, parsing | Reading of course notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | Inverted index, query processing | Reading of course notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 13 | Signature files, duplicate document detection | Reading of course notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 14 | Paper presentations | Literature survey, preparing presentation | Öğretim Yöntemleri: Bireysel Çalışma, Örnek Olay, Soru-Cevap |
| 15 | Project presentations | Preparing project and its presentation | Öğretim Yöntemleri: Alıştırma ve Uygulama, Tartışma, Soru-Cevap, Proje Temelli Öğrenme |
| 16 | Writing the project report | Preparing the project report | Ölçme Yöntemleri: Proje / Tasarım, Sözlü Sınav |
| 17 | Term Exams | Preparing the project report | Ölçme Yöntemleri: Proje / Tasarım, Sözlü Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||