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) |
|---|
| 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 Lecturer(s) |
|
| 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;
|
| 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 | X |
|---|---|
| Major Area Courses | |
| 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 advanced knowledge of computing and/or informatics to solve software engineering problems. | X | ||||
| 2 | Develop solutions using different technologies, software architectures and life-cycle approaches. | X | ||||
| 3 | An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices. | X | ||||
| 4 | An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements. | X | ||||
| 5 | Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects. | |||||
| 6 | An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain. | |||||
| 7 | An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. | |||||
| 8 | Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies. | |||||
| 9 | An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions. | |||||
| 10 | Promote the development, adoption and sustained use of standards of excellence for software engineering practices. | |||||
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 | ||