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| IST3016 | Introduction to Information Retrieval | 4+0+0 | ECTS:6 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of STATISTICS and COMPUTER SCIENCES | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 4 hours of lectures per week | | Lecturer | Dr. Öğr. Üyesi Tolga BERBER | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Students are expected to learn and apply text mining approaches. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Solve text mining problems. | 4,7 | 1,6, | | LO - 2 : | Implement a simple search engine. | 4,7 | 1,6, | | LO - 3 : | Extract data from a document collection. | 4,7 | 1,6, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Text Mining, Search Engines, Text Classification, Topic Analysis |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction | | | Week 2 | Text preprocessing | | | Week 3 | Text preprocessing | | | Week 4 | Text preprocessing | | | Week 5 | Logical information retrieval | | | Week 6 | Logical information retrieval | | | Week 7 | Bag-of-words model | | | Week 8 | TFIDF Vectorisation | | | Week 9 | MidTerm exam | | | Week 10 | Search engines | | | Week 11 | Search engines | | | Week 12 | Text Classification | | | Week 13 | Text Classification | | | Week 14 | Classification Evaluation | | | Week 15 | Topic Modeling | | | Week 16 | Topic Modeling | | | |
| 1 | Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Project | 15 | 02/01/2022 | 2 | 50 | | End-of-term exam | 16 | 10/01/2022 | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | | | | |
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