College of Arts and Social Sciences
[Department of Information Studies]
Course Portfolio
[Information System and Retrieval]
INFO3270
Period: [Semester1, Spring -2015]
[25-04-2015]
Course File
I. COURSE FILE SUMMARY
1. COURSE INFORMATION
College/Institute/Centre
COLLEGE OF ARTS AND SOCIAL SCIENCES
Department
Information Studies
Program Title
BA
Semester\Year
Semester 1, Spring 2015
Program Code
English
Arabic
Course Code
Information System and
Retrieval
INFO3270
Course Type
Major Requirement
Pre Requisites
INFO2410 Information Services & FPEL0604
Teaching Language
English And Arabic
Credit Hours
3 Hours
Lecture
2 (Weekly)
Practical/Fieldwork 2 (Weekly)
15
Course Title
Teaching Hours
Teaching Weeks
Number of students
Lecture
Practical/Fieldwork
Number of Student dropped
‫نظم المعلىمات واسترجاعها‬
Total
4
25
25
4
2. COURSE DESCRIPTION
ENGLISH COURSE DESCRIPTION
ARABIC COURSE DESCRIPTION
1
‫يتناول انًقزر انؼذيذ ين انًىضىػاث وانًصطهحاث انًتؼهقت‬
‫ حيث يقسى انًقزر إنً قسًين‬،‫بظى استزجاع انًؼهىياث‬
‫ يتناول انقسى األول انتؼزيف باننظاو واالستزجاع ثى‬:‫رئيسين‬
‫ ثى يتناول‬،‫بأنىاع نظى انًؼهىياث وكيفيت ػًم اننظاو ويكىناته‬
،‫بؼض انطزق انحذيثت انًتؼهقت باالستزجاع وأدواته انًختهفت‬
‫في حين يتناول انقسى اآلخز استزاتيجياث انبحث في قىاػذ‬
‫انبياناث ويحزكاث انبحث واألدنت انًىضىػيت ثى يحزكاث‬
‫ ناهيك ػن تفاصيم ػًم قىاػذ انبياناث‬،‫انبحث انكبزي‬
‫وخيارا انبحث انًتىفزة وكيفيت انبحث و انهغت انًستخذيت‬
.‫فضال ػن قزاءة نتائج انبحث‬
،‫وكذنك انحال باننسبت نًحزكاث انبحث و األدنت انًىضىػيت‬
‫حيث يتطزق انًقزر استزاتيجياث صياغت استفساراث انبحث‬
‫و انهغت انبحثيت انًستخذيت في يحزكاث انبحث وكيفيت‬
‫استزجاع انًؼهىياث يغ انتزكيز ػهً استخذاو االستزاتيجياث‬
.‫انحذيثت في انبحث و االستزجاع‬
‫كًا يتناول انًقزر انبحث انذالني وػالقته بناو استزجاع‬
ً‫انًؼهىياث يغ يجًىػت ين انتطبيقاث انبحثيت انتي تساػذ ػه‬
.‫انفهى‬
The unit covers searching in databases and the
web. It covers Search Engines, Search Engine
Features and Services, Search Engine
Architectures,
Web
Crawling,
Robots
Exclusion Protocol, Robots Meta Tag, Focused
Spidering, Keeping Spidered Pages Up-toDate, the Information Retrieval System,
Preprocessing the Document Collection,
Information Retrieval Models, The Boolean
Model, Evaluation of Information Retrieval
Systems, Precision and Recall, Google, the
Invisible Web, Searchable Databases, Excluded
Pages Other Types of Information Retrieval
Systems, Multimedia Information Retrieval,
Digital Libraries, Distributed Information
Retrieval Systems, Natural Language Queries,
The Semantic Web and Use of Meta-Data,
Visualization and Categorization of Results.
3. COURSE AIM
This unit introduces students to the major categories of information system and retrieval in all
media. The first objective of this course is to present the scientific underpinnings of the field of
Information Search and Retrieval.
4. COURSE OBJECTIVES
At the completion of this unit students should be able to demonstrate an understanding of the
nature of information system retrieval and:
 To understand the concepts and importance of data, information, information systems
(IS) and Information retrieval (IR)
 To identify various components of an information storage and retrieval system,
 To become familiar with different models and structures an IR system may take.
 To become familiar with Internet search strategies and experience databases and online
search tools.
 To be able to design and implement IR systems using already applied packages such as
the unicorn (main Library).
 To examine the factors that influences the performance of an IR system.
 To learn how to evaluate an information retrieval system.
 To be aware of the current research in the field.
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5. COURSE INTENDED LEARNING OUTCOMES
Have skills to:
 Demonstrate effective search strategies on databases and web tools include search
engines and subject directories.
 Develop skills requirement for searching and retrieving
 Apply different techniques and methods in information searching
Have developed attitudes which enable them to:
 Have confidence in their ability to assess user needs, and understand the factors affecting
user behaviour information searching and retrieving.
 Select appropriate web tools for finding various information sources for specific contexts
and purposes.
 Value the necessity to select the best source of knowledge for a practical information
need.
6. LECTURES SCHEDULE
WEEK
TOPIC
 Class Orientation and Unit outline
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Basic information retrieval concepts (e.g., data, information, text, document, file,
records, information system, information need, query, etc.
 Systems Concepts
 Information systems Concepts/Types
 Information Retrieval Concepts
 General Model of a system-Work in a system
 Boolean retrieval model/the term vocabulary and postings lists, Indexing ( Brief
Overall )
 Evaluation Of IR Systems
 Information Retrieval Methods in Libraries and Information Centers
 Metadata? Thesauri? Taxonomies? Topic Maps
Mid-term Exam (Worth 15%) + Practical Quiz (Worth 5%)
The internet and web
 Web 0.0,Web 2.0, web 3.0, web 4.0 and web 5.0
 The visible and Invisible Web
 Searchable Databases
 Databases search strategies
 Web search basics
 Web crawling and indexes
 Searching engines, Meta search engines and Subject directory.
 Specialized Search Engines & Directories
 Dictionaries and Encyclopaedias
 Syntax and Semantic Search: Ontology, OWL, RDF/XML, etc.
 IR and the Semantic Web
 Practical Quiz (Worth 5%)
 Exercises: Information searching strategies in different search contexts
(Tips to Help You Apply What You've Learned)
 Review and assessment
3
7. TEACHING STRATEGIES AND TECHNOLOGY APPLICATION
Teaching Method
 Lecture by teacher
 Class discussion
 Discussion groups
 Presentation by instructors or students
 Bulletin boards
 Library research on topics or problems
 Social Media
 Class Brainstorm
 Case studies
Teaching Media
 PowerPoint
 Slide share application
 Educational video resources (e. g,

YouTube)
Web 2.0 applications and tools
8. GRADING AND ASSESSMENT
POINTS
10
5
5
40
15
10
WRITTEN
ORAL
TERM PAPER
CONTINUOUS
Mid-term Exam
Practical Quiz
Practical Quiz
Final Exam
Assignment 1
Assignment 2
Classroom
Exercises and
Participation
15
9. COURSE RULES
Attendance
Attendance at class is mandatory. Course Instructors should keep attendance records. An
"absentee warning notice" will be issued if a student is absent for:
• More than 10% in courses with less than 75 total contact hours.
• More than 5% in courses with 75 or more total contact hours.
An "absentee withdrawal notice" will be issued and the student will be deemed to have
withdrawn from the course with an 'FW' grade if a student is absent for:
• More than 20% in courses with less than 75 total contact hours.
• More than 15% in courses with 75 to 150 total contact hours.
• More than 10% of total contact hours for courses with more than 150 total
contact hours.
10. INSTRUCTIONAL MATERIALS
Büttcher, S., Clarke, C. L., & Cormack, G. V. (2010). Information retrieval: Implementing and
evaluating search engines. Mit Press.
Chowdhury, G. (2010). Introduction to modern information retrieval. Facet publishing.
Cole, C. (2011). A theory of information need for information retrieval that connects information
to knowledge. Journal of the American Society for Information Science and Technology,
62(7), 1216-1231.
Deserno, T. M., Antani, S., & Long, R. (2009). Ontology of gaps in content-based image retrieval.
Journal of digital imaging, 22(2), 202-215.
Goker, A., & Davies, J. (Eds.). (2009). Information retrieval: Searching in the 21st century. John
Wiley & Sons.
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Hoeber, O. (2008, December). Web information retrieval support systems: The future of web
search. In Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web
Intelligence and Intelligent Agent Technology-Volume 03 (pp. 29-32). IEEE Computer
Society.
Leishman, P., Forth, P., & Stewart, J. (2010). U.S. Patent No. 7,707,140. Washington, DC: U.S.
Patent and Trademark Office.
Pakray, P., Bhaskar, P., Banerjee, S., Pal, B. C., Bandyopadhyay, S., & Gelbukh, A. F. (2011). A
Hybrid Question Answering System based on Information Retrieval and Answer
Validation. In CLEF (Notebook Papers/Labs/Workshop).
Patterson, A. L. (2009). U.S. Patent No. 7,567,959. Washington, DC: U.S. Patent and Trademark
Office.
Ren, F., & Bracewell, D. B. (2009). Advanced information retrieval. Electronic notes in
theoretical computer science, 225, 303-317.
Tamine-Lechani, L., Boughanem, M., & Daoud, M. (2010). Evaluation of contextual information
retrieval effectiveness: overview of issues and research. Knowledge and Information
Systems, 24(1), 1-34.
Zoeter, O., Taylor, M. J., Snelson, E. L., Guiver, J. P., Craswell, N., & Szummer, M. (2011). U.S.
Patent No. 8,037,043. Washington, DC: U.S. Patent and Trademark Office.
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