Coursebooks 2016-2017

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Database systems

CS-422

Lecturer(s) :

Ailamaki Anastasia
Papapetrou Odysseas

Language:

English

Summary

This course is intended for students who want to understand modern large-scale data analysis systems and database systems. It covers a wide range of topics and technologies, and will prepare students to be able to build such systems as well as read and understand recent research publications.

Content

Learning Prerequisites

Required courses

Recommended courses

Learning Outcomes

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

Teaching methods

Lectures, Reversed classroom teaching (video lectures plus in-classroom discussion and group work), project, homework, exercises

Assessment methods

Supervision

Others Office hours on request. Q&A sessions in lectures and exercises.

Resources

Bibliography

J. Hellerstein & M. Stonebraker, Readings in Database Systems, 4th Edition, 2005

R. Ramakrishnan & J. Gehrke: "Database Management Systems", McGraw-Hill, 3rd Edition, 2002.

A. Rajaraman & J. Ullman: "Mining of Massive Datasets", Cambridge Univ. Press, 2011.

In the programs

Reference week

 MoTuWeThFr
8-9  INJ218  
9-10    
10-11  INJ218  
11-12    
12-13     
13-14 CM1   
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