Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
9105056182007Information Retrieval SystemsElective128
Level of Course Unit
Third Cycle
Objectives of the Course
The objective of the course is to give students an overview of information retrieval “problem”. By the end of the course the students are expected to know the methods in developing information retrieval systems (IR), functions of IR systems; evaluation methods and metrics for IR systems, term weighing mechanisms and corpora.
Name of Lecturer(s)
Prof. Dr. Bahar Karaoğlan
Learning Outcomes
1To analyze the components of an information retrieval system
2Understand the factors considered for term weighing in retrieval process
3To examine current issues in information retrieval
4To understand the evaluation techniques for IR systems
5Understand the aspects and use of different language models
6Be able to implement basic text processing algorithms
7Understand the importance of corpora on IR system development
8Be able to use TREC corpora in IR system development
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
Competency in reading and understanding English and application of statistical methods.
Course Contents
This course will cover traditional material as well as recent advances in information retrieval (IR), the study of the processing, indexing, querying, organization, and classification of textual documents, including hypertext documents available on the world-wide-web.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction: Basic Information Retrieval (IR) introduction and terminology
2Information Retrieval Models: Taxonomy and characterization of IR modelsreading and discussion
3 Fundamentals of Text IR: Overview of text IR, basic procedures and sub-components applied on text IR process.reading and discussion
4 Classical Information Retrieval Models: Boolean models, vector model, probabilistic model, Comparison of classical IR models.research and reporting
5 Text operations: Document preprocessing methods on lexical analysis, elimination of stopwords, stemming,research and reporting
6 Query Languages: Keyword-based querying, Pattern matching and structural queries reading and discussion
7Indexing and searching: Introduction to inverted files, alternative approaches like single pass and two pass indexing on creation of inverted files, semantic relations between text and query, index term weighting methods research and reporting
8Developing an IR System: Introduction of Terrier text IR development library, importance of corpora and TREC corpora usage.
9 Midterm Exam
10 Retrieval Evaluation: Recall and precision measures, alternative performance metrics.research and reporting
11 Alternative IR Models: Set theoretic models, algebraic models, probabilistic models .reading and discussion
12 Structured Text Retrieval Models: Models based on Non-overlapping lists and models based on proximal nodes.
13 Multimedia IR Models and Languages Data modeling and query languages
14 Students Project Presentations
15 Students Project Presentations
16 Final Exam
Recommended or Required Reading
Text Book: Modern Information Retrieval R. Baeza-Yates and B. Ribeiro-Yeto, 1999 Other useful readings: Information Retrieval: A survey, E. Greengrass,2000, http://www.cs.umbc.edu/research/cadip/readings/IR.report.120600.book.pdf Information retrieval, C.J. van Rijsbergen, http://www.dcs.gla.ac.uk/Keith/Preface.html Precision and Recall, S.M. Shafi and R.A. Rather http://www.webology.ir/2005/v2n2/a12.html
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination133
Final Examination133
Attending Lectures12336
Report Preparation41248
Project Preparation15050
Project Presentation236
Individual Study for Mid term Examination12020
Individual Study for Final Examination12525
Reading41248
TOTAL WORKLOAD (hours)239
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr