General Info

Teachers

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

Teaching Assistants

• Akash Neil Das
• Jacob Borregaard Eriksen
• Raviteja Goud Ija
• Oskar Kocjancic
• Hlynur Blær Sigurðsson
• Athanasios Voukalis
• Dong Yang

Lectures

Tuesdays 18:00-19:45.

Exercise sessions

Tuesdays 20:00-22:00.

Location and TA coverage

• Lectures: Building 306 auditorium 32. We start here at 18:00.
• Exercise sessions: Building 302: 004, 006, 106, 0NOE, 0NV, 0SOE, 0SV, 1NOE, 1NV, 1SOE, 1SV. 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.

NOTE: You must complete the project in groups of size 4 or 5. You must form these groups on DTU Learn by October 23 at 23:59. Any groups that have fewer than 4 members after this point will be merged with other undersized groups or individuals to make a group of size 4 or 5. You will not have a choice about which groups are merged. If necessary, some undersized groups may even have to be split up in order to make all of the groups of an appropriate size.

Weekplan

THIS SCHEDULE IS TENTATIVE AND SUBJECT TO CHANGE