Lecturer: Karl Aberer, Teaching Assistants: Chí Thắng Dương, Tuğrulcan Elmas, Negar Foroutan Eghlidi, Jérémie Rappaz and Panayiotis Smeros
| Date | Exam | Area | Topic | Links* |
|---|---|---|---|---|
| 17/02 | - | Introduction | Course Information - Overview | [slides, slides, lab] |
| 24/02 | - | Information Retrieval | Basic Text Retrieval Models | [slides, lab] |
| 02/03 | - | Indexing and Probabilistic Retrieval | [slides, lab] | |
| 09/03 | - | Advanced Retrieval Methods | [slides, lab] | |
| 16/03 | Midterm | Relevance Feedback and Link-based Retrieval | [slides, lab] | |
| 23/03 | - | Data Mining | Frequent Itemset Mining | [slides, lab] |
| 30/03 | - | Clustering and Classification | [slides, lab] | |
| 06/04 | - | Classification Methodology | [slides, lab] | |
| ~~~~ | ~~~~ | ~~~~ | ~~~~ | |
| 20/04 | - | Document Classification and Recommender | [slides, lab] | |
| 27/04 | Quiz 1 | Social network mining | [slides, lab] | |
| 04/05 | - | From Documents to Knowledge | Semantic Web | [slides, lab] |
| 11/05 | - | Entity and Information Extraction | [slides, lab] | |
| 18/05 | Quiz 2 | Data Integration | [slides, lab] | |
| 25/05 | - | Knowledge Graphs | [slides, lab] |
* All the lecture slides have embedded notes and are provided both in ppt and in pdf format. All the lab exercises are accompanied by their solutions.
TBD
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Previous Years: 2019 Poll Answers, 2019 Midterm Exam, 2018 Quizzes, 2018 Final Exam.