ahmedkooli / dis

Course Material for Distributed Information Systems 2020

Distributed Information Systems 2020

Lecturer: Karl Aberer, Teaching Assistants: Chí Thắng Dương, Tuğrulcan Elmas, Negar Foroutan Eghlidi, Jérémie Rappaz and Panayiotis Smeros

Schedule

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]
13/04	~~~~	~~~~	~~~~	~~~~
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.

Exam

TBD

Extras

For announcements and class discussions you may subscribe to the Moodle fora.

Previous Years: 2019 Poll Answers, 2019 Midterm Exam, 2018 Quizzes, 2018 Final Exam.