Information Retrieval (CMPE563) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Information Retrieval CMPE563 Elective Courses 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of the course is to teach the principles of information storage and retrieval systems. Students will learn how effective information search and retrieval is interrelated with the organization and description of information to be retrieved. Students will also learn to use a set of tools and procedures for organizing information, will become familiar with the techniques involved in conducting effective searches of online information resources and will build a vertical/specialty search engine
Course Learning Outcomes The students who succeeded in this course;
  • Mention the principles of information storage and retrieval systems and database
  • Describe how effective information search and retrieval is interrelated with the organization and description information to be retrieved
  • Become familiar with a set of tools and procedures for organizing information
  • Identify the techniques involved in conducting effective searches of online information resources
  • Discuss different theoretical foundations, methods and measurements to underly and evaluate major types of information retrieval systems and search engine.
Course Content Organization, representation, and access to information; categorization, indexing, and content analysis; data structures for unstructured data; design and maintenance of such databases, indexing and indexes, retrieval and classification schemes; use of codes, formats, and standards; analysis, construction and evaluation of search and navigation tec

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to information retrieval IT01 Chap 1, IT02 Chap 1
2 Text analysis and preprocessing IT01 Chap 2
3 Architecture of a search engines IT01 Chap 4,5, IT02 Chap 2
4 Crawls and feeds IT01 Chap 20, IT02 Chap 3
5 Processing text IT01 Chap 4,5, IT02 Chap 4
6 Ranking with indexes IT01 Chap 4,5, IT02 Chap 5
7 Queries and interfaces IT01 Chap 9,12, IT02 Chap 6
8 Text classification IT01 Chap 16,17, IT02 Chap 9
9 Text clustering IT01 Chap 16,17, IT02 Chap 9
10 Retrieval models IT01 Chap 11,12, IT02 Chap 7
11 Evaluating search engines - I IT01 Chap 8, IT02 Chap 8
12 Evaluating search engines - II IT01 Chap 8, IT02 Chap 8
13 Social search IT02 Chap 10
14 Beyond bag of words IT01 Chap 10,14, IT02 Chap 11
15 Review
16 Review

Sources

Course Book 1. (IR01) Introduction to Information Retrieval, Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze, Cambridge University Press, 2008, ISBN-13: 978-0521865715.
2. (IR02) Search Engines: Information Retrieval in Practice, Bruce Croft, Donald Metzler, Trevor Strohman, Pearson/Addison-Wesley, 2009, ISBN-13: 978-0136072249.
Other Sources 3. Information Retrieval: Implementing and Evaluating Search Engines, Stefan Buettcher, Charles L. A. Clarke, Gordon V. Cormack, The MIT Press, 2010, ISBN-13: 978-0262026512.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 3 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 40
Final Exam/Final Jury 1 40
Toplam 5 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses
Major Area Courses X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply knowledge of mathematics, science, and engineering. X
2 An ability to design and conduct experiments, as well as to analyse and interpret data. X
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary domains. X
5 An ability to identify, formulate, and solve engineering problems. X
6 An understanding of professional and ethical responsibility. X
7 An ability to communicate effectively. X
8 Recognition of the need for, and an ability to engage in life-long learning. X
9 A knowledge of contemporary issues. X
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. X
11 Skills in project management and recognition of international standards and methodologies X
12 An ability to produce engineering products or prototypes that solve real-life problems. X
13 Skills that contribute to professional knowledge. X
14 An ability to make methodological scientific research. X
15 An ability to produce, report and present an original or known scientific body of knowledge. X
16 An ability to defend an originally produced idea. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project
Report
Homework Assignments 3 5 15
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 125