COURSE INFORMATION Course Title: INFORMATION RETRIEVAL

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
CEN 415	B	1	3	2	0	4	7.5

Language:	English
Compulsory/Elective:	Elective
Classroom and Meeting Time:
Course Description:	Information retrieval technique applied to modern search engines for non structured (documents and web pages), semi-structured (XML) and structured data (Database). Ranking algorithms and data dependency.
Course Objectives:	Information retrieval is the process through which a computer system can respond to a user's query for text-based information on a specific topic. IR was one of the first and remains one of the most important problems in the domain of natural language processing (NLP). Web search is the application of information retrieval techniques to the largest corpus of text anywhere -- the web -- and it is the area in which most people interact with IR systems most frequently.

COURSE OUTLINE

Week	Topics
1	Introduction to Information Retrieval
2	Text operation
3	Boolean model, inverted index
4	Index construction
5	Lucene platform
6	Scoring
7	Vector Space model
8	Midterm
9	Web search
10	Web crawling
11	Link analysis
12	IR applied to RDB
13	Evaluation of IR systems
14	Course overview

Prerequisite(s):	Java, Database Management Systems
Textbook:	“Introduction to Information Retrieval”, Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze. Cambridge UP, 2009
Other References:
Laboratory Work:	Yes
Computer Usage:	Yes
Others:	No

COURSE LEARNING OUTCOMES

1	Efficient text indexing
2	Boolean and vector-space retrieval models
3	IR techniques for the web, including crawling, link-based algorithms, and metadata usage

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Professional Master in Computer Engineering Program
1	Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.
2	Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations
3	Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.
4	Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies.
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.
8	Ability for effective oral and official communication skills in foreign language.
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.
10	Engineering graduates with well-structured responsibilities in profession and ethics.
11	Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues.
12	Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity.

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	40
Project	1	20
Final Exam	1	40
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	3	48
Hours for off-the-classroom study (Pre-study, practice)	16	7	112
Mid-terms	1	12	12
Assignments	1	2	2
Final examination	1	13.5	13.5
Other			0
Total Work Load:			187.5
Total Work Load/25(h):			7.5
ECTS Credit of the Course:			7.5