Hide menu

732A54 Big Data Analytics

Timetable


Time table at the time table server.
  • (27/10) Lecture 1: Introduction to Big Data Analytics (slides ppt, pdf)
  • (31/10) Lecture 2: Introduction to/revision of Python (slides)
  • (1/11) Lecture 3: Introduction to/revision of Relational databases - 1 (slides ppt, pdf) (slide for exercise ppt)
  • (1/11) Lab 1: Python
  • (2/11) Lecture 4: Introduction to/revision of Relational databases - 2 (slides included in slides for Lecture 3)
  • (3/11) Study visit to the National Supercomputer Centre
  • (3/11) Lab 2: Relational databases - 1
  • (4/11) Lecture 5: Introduction to Parallel Computing (slides)
  • (8/11) Lab 3: Relational databases - 2
  • (10/11) Lecture 6: Databases for Big Data - 1 (slides)
  • (17/11) Lecture 7: Introduction to Parallel Computing (cnt.); Introduction to MapReduce (slides)
  • (22/11) Lecture 8: Introduction to Spark (slides); Introduction to cluster resource management (slides)
  • (23/11) Lecture 9: Databases for Big Data - 2 (slides)
  • (24/11) Excercise session (slides)
  • (25/11) Lab 4: Big data - 1
  • (29/11) Lab 5: Big data - 2
  • (30/11) Lab 6: Big data - 3
  • (6/12) Lecture 10: Machine learning for Big Data - 1 (slides)
  • (8/12) Lecture 11: Machine learning for Big Data - 2 (slides)
  • (7/12) Lab 7: Big data - 4
  • (8/12) Lab 8: Big data - 5
  • (13/12) Lab 9: Big data - 6
  • (15/12) Lab 10: Big data - 7
  • (19/12) Lab 11: Big data - 8
  • (19/12) Lab 12: Big data - 9
  • (20/12) Lab 13: Big data - 10

Page responsible: Patrick Lambrix
Last updated: 2016-12-09