CENG541 Information Retrieval Systems

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code CENG541
Name Information Retrieval Systems
Term 2024-2025 Academic Year
Semester . Semester
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 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

Update Time: 13.05.2024 03:07