General Info

Teachers

• David Earl Roberson, dero@dtu.dk
• Karl Magnus Heuer, karheu@dtu.dk

Teaching Assistants

• Peter Sebastian Hein Bitsch
• Alejandra Navarro Castillo
• Myrsini Gkolemi
• Alexandre Comas Gispert
• Nojus Mickus
• Simon Gerdes Pontoppidan

Lectures

Tuesdays 18:00-19:45.

Exercise sessions

Tuesdays 20:00-22:00.

Office hour (Karl Heuer)

Wednesdays 13:00-14:00 (see DTU Learn announcements for exceptions)

Building 322, room 008

Location and TA coverage

• Lectures: Building 303A auditorium 42. We start here at 18:00.
• Exercise sessions: Building 302: 0NOE, 0NV, 0SOE, 0SV, 1NOE. In exercise weeks, TA's will be present from 20:00 to 22:00.

Materials

Most topics will be based on the book "Mining of Massive Datasets" (Third edition) - see book homepage. However, further additional materials will be used. Observe that there is a huge community utilizing algorithms and further developing the tools we are considering within this course, so online search can also bring you valuable information and guidance.

Videocast

Videocasts

Project work

See information (including important dates) about the project in this PDF file. You can also look at the following example reports: Example 1, Example 2, Example 3, Example 4, Example 5.

Weekplan

THIS SCHEDULE IS TENTATIVE AND SUBJECT TO CHANGE