Future University In Egypt (FUE)
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Altagamoa Al Khames, Main centre of town, end of 90th Street
New Cairo

List of Courses

Information Storage and Retrieval

  • Course Code :
  • Level :
  • Course Hours :
    3.00 Hours
  • Department :
    Department of Information Systems

Instructor information :

Area of Study :

Define the basic concepts and theories of information systems retrieval. Discuss the main concepts of information technology and the core algorithms Discuss the recent paradigms considering information systems and retrieval as well as relevant fields. Develop, and evaluate the most recent algorithms Implement and evaluate effectively the merits of information storage and retrieval methods using appropriate analytical and technical skills Use effectively communication skills

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Information Storage and Retrieval

This course presents the study of file structures through an object-oriented approach allowing students to acquire the fundamental tools needed to design cost-effective and appropriate solutions to file structure problems. The course includes the following topics: indexing, consequential processing and the sorting of large files on disk and on tape, multilevel indexing and B-trees with its variants, indexed sequential access to files, hashing and extendible hashing. The course is supported with programming assignments on the studied topics. Architecture of information storage and retrieval systems (IRS), models of IRS, IR systems, user interface in IRS, text analysis, the World Wide Web, spiders, ranking algorithms, digital libraries. Recent research in text retrieval and mining are emphasized. —Text information retrieval systems; efficient text indexing; Boolean, vector space, and probabilistic retrieval models; ranking and rank aggregation; evaluating IR systems. Text clustering and classification methods: Latent semantic indexing, taxonomy induction, cluster labeling; classification algorithms and their evaluation, text filtering and routing.

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Information Storage and Retrieval

Course outcomes:

a. Knowledge and Understanding:

1- Define and explain the key concepts and models relevant to information storage and retrieval
2- Identify the salient features and apply recent research results in web search and recommender systems
3- Discuss the principles of Information Technologies

b. Intellectual Skills:

1- Design, implement, and evaluate the core and advanced algorithms underlying a fully functional web search system
2- Evaluate and verify different solutions using well-defined criteria

c. Professional and Practical Skills:

1- Adapt different skills for information management, organization and retrieval
2- Use Web-based systems effectively

d. General and Transferable Skills:

1- Use Information Retrieval techniques
2- Apply quantitative methods and skills in understanding and presenting cases
3- Work in a team effectively and efficiently considering time and stress management
4- Appreciate continuous professional development and lifelong learning

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Information Storage and Retrieval

Course topics and contents:

Topic No. of hours Lecture Tutorial/Practical
Introduction 4 2 2
Boolean retrieval 4 2 2
The term vocabulary and postings lists 4 2 2
Dictionaries and tolerant retrieval 4 2 2
Index construction 4 2 2
Distributed and dynamic indexing 4 2 2
Index compression 4 2 2
Scoring and term weighting 4 2 2
Mid Term Exam 2
Distributed and dynamic indexing 4 2 2
Index compression 4 2 2
Scoring and term weighting 4 2 2
Vector space model 4 2 2
Final Exam 2

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Information Storage and Retrieval

Teaching And Learning Methodologies:

Teaching and learning methods
Interactive Lectures including Discussions
Practical Lab Sessions
Self-Study (Project / Reading Materials / Online Material / Presentations)
Case Studies

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Information Storage and Retrieval

Course Assessment :

Methods of assessment Relative weight % Week No. Assess What
Assignments 5.00 4
Final Exam 40.00 14
Midterm Exam(s) 20.00 9
Practical Exam 10.00 11
Presentations 5.00 12
Quizzes 10.00 5
Team Work Projects 10.00 10

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Information Storage and Retrieval


Book Author Publisher

Course notes :

An Electronic form of the Course Notes and all the slides of the Lectures is available on the Students Learning Management System (Moodle)

Recommended books :

Christopher D. Manning, Prabhakar Raghavan and HinrichSchütze, "Introduction to Information Retrieval", Cambridge University Press, 1st edition, ISBN:978-0521865715, 2008.

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