Coursebooks 2016-2017

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Distributed information systems

CS-423

Lecturer(s) :

Aberer Karl

Language:

English

Summary

This course introduces in detail several key technologies underlying today's distributed information systems, including Web data management, information retrieval and data mining.

Content

Web Information Management: Semi-structured data - graph data model, web ontologies, schema integration

 

Information Search: Web search - vector space retrieval, inverted files, advanced retrieval models, word embeddings, web search

 

Big Data Analytics: Data mining - associations rules, clustering, classification, model selection; Crowd-sourcing; Recommender systems - collaborative filtering and content-based recommendation

Learning Prerequisites

Recommended courses

Introduction to Database Systems

Learning Outcomes

By the end of the course, the student must be able to:

Teaching methods

Ex cathedra + exercises

Assessment methods

25% Continuous evaluations with bonus system during the semester
75% Final written exam (180 min) during exam session

Supervision

Office hours Yes
Assistants Yes
Forum Yes

Resources

Websites
Moodle Link

In the programs

Reference week

 MoTuWeThFr
8-9     
9-10   CM3 
10-11    
11-12   CE2 
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German