INF 553: Bases de Données - Data Bases & Information Managemenent
Course lectures: Wednesday 8.30-10.00 PC 17, Labs: 10.15-12.15 Salle 33

Welcome to the web page of the "Data Bases & Information Managemenent" course. Digital Data are everywhere and are produced in breathtaking paces. Science and Technology face a grand challenge to efficiently store these data and offer intuitive and effective ways for the user community to browse and effectively query them.

This course will equip the demanding student with introduction, overview and hands on experience on the fundamental - as well as advanced methods - and technologies for modelling, and managing large scale - and potentially networked data. Apart from the traditional corporate data, the course will deal with modern and dynamic data collections such as the Web Graph, Social Networks, Distributed data and present novel techniques to efficiently store, query and rank them. The course also offers an introduction to mining knowledge in data sources - presenting unsupervised and supervised learnind methods.

Course Schedule and slides

  • W1 (September 14)

    Data Bases - Introduction

    Relational Model

  • W2 (September 21)

    SQL

  • W3 (September 28 )

    Database Design

  • W4 (October 5)

    Indexing and Hashing

  • W5 (October 12)

    Query Processing & Optimization

  • W6 (October 19)

    Advanced topics - 1: Data Mining

  • W7 (November 2)

    Advanced topics – 2: Dimensionality reduction

  • W8 (November 23)

    Advanced topics – 3: Web Page Ranking Algorithms

  • W9 (November 30)

    Advanced topics – 4: Graph/Spectral Clustering & Communities evaluation

Data Mining, Knowledge Discovery, Bussiness Intelligence