ECTS - Information Retrieval
Information Retrieval (CMPE563) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Information Retrieval | CMPE563 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses Taken From Other Departments |
Course Level | Natural & Applied Sciences Master's Degree |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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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;
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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 |
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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. |
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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 |
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Percentage of Final Work | 40 |
Total | 100 |
Course Category
Core Courses | |
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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 | To be able to use mathematics, science and engineering knowledge in solving engineering problems related to information systems. | X | ||||
2 | Design and conduct experiments in the field of informatics, analyze and interpret the results of experiments. | X | ||||
3 | Designs an information system, component and process according to the specified requirements. | X | ||||
4 | Can work effectively in disciplinary and multidisciplinary teams. | |||||
5 | Identify, formulate and solve engineering problems in the field of informatics. | X | ||||
6 | Acts in accordance with professional ethical rules. | |||||
7 | Communicates effectively both orally and in writing. | |||||
8 | Gains awareness of the necessity of lifelong learning. | |||||
9 | Learn about contemporary issues. | X | ||||
10 | To be able to use modern engineering tools, techniques and skills required for engineering practice. | X | ||||
11 | Knows project management methods and recognizes international standards. | X | ||||
12 | Develop informatics-related engineering products and prototypes for real-life problems. | X | ||||
13 | Contributes to professional knowledge. | |||||
14 | Can do methodological scientific research. | |||||
15 | Produce, report and present a scientific work based on an original or existing body of knowledge. | |||||
16 | Can defend the original idea generated. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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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 |