Coursebooks 2017-2018

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Database systems

CS-422

Lecturer(s) :

Ailamaki Anastasia
Karpathiotakis Manolis
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, project, homework, exercises

Expected student activities

During the semester, the students are expected to:

Assessment methods

Supervision

Office hours Yes
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

  • Digital Humanities, 2017-2018, Master semester 2
    • Semester
      Spring
    • Exam form
      During the semester
    • Credits
      7
    • Subject examined
      Database systems
    • Lecture
      3 Hour(s) per week x 14 weeks
    • Exercises
      2 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks
  • Computer Science, 2017-2018, Master semester 2
    • Semester
      Spring
    • Exam form
      During the semester
    • Credits
      7
    • Subject examined
      Database systems
    • Lecture
      3 Hour(s) per week x 14 weeks
    • Exercises
      2 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks
  • Computer and Communication Sciences (edoc), 2017-2018
    • Semester
      Spring
    • Exam form
      During the semester
    • Credits
      7
    • Subject examined
      Database systems
    • Lecture
      3 Hour(s) per week x 14 weeks
    • Exercises
      2 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks
  • Communication Systems - master program, 2017-2018, Master semester 2
    • Semester
      Spring
    • Exam form
      During the semester
    • Credits
      7
    • Subject examined
      Database systems
    • Lecture
      3 Hour(s) per week x 14 weeks
    • Exercises
      2 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks
  • Communication Systems - master program, 2017-2018, Master semester 4
    • Semester
      Spring
    • Exam form
      During the semester
    • Credits
      7
    • Subject examined
      Database systems
    • Lecture
      3 Hour(s) per week x 14 weeks
    • Exercises
      2 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks
  • Computer science minor, 2017-2018, Spring semester
    • Semester
      Spring
    • Exam form
      During the semester
    • Credits
      7
    • Subject examined
      Database systems
    • Lecture
      3 Hour(s) per week x 14 weeks
    • Exercises
      2 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks

Reference week

MoTuWeThFr
8-9
9-10
10-11
11-12
12-13
13-14
14-15
15-16
16-17
17-18
18-19
19-20
20-21
21-22
Under construction
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