Data Mining Lab

    About the lab

    The goal is gaining hands-on experience on data mining methods and algorithms in the context of a semester-long team project.

    Organisation

    • Lecturer: Prof. Dr. Eirini Ntoutsi
    • Teaching assistants: Vasileios Iosifidis || Amir Abolfazli|| Arjun Roy || Tai Le Quy

    • Participation is equivalent to 6 ECTS credits (1 ECTS credit equals 30 hours of study).
    • We will use StudIP for discussions/announcements/material/schedule.
    • Kick-off lecture: Friday 1/11/2019, 11:30-12:30, room 235 Appelstrasse 4.

    Lab schedule

    Check Stud.IP for actual schedule and announcements on the lab for WiSe19/20.

    • Introduction to the labor & project announcements
    • Regular meetings and updates on project progress
    • Final presentation of the results (oral, poster)

    Types of projects

    • Academic projects will be typically based on some published paper. The goal is to reproduce the authors results with some extensions and application to new datasets.
    • Application-specific projects referring to the analysis of interesting datasets from different application domains.

    Requirements

    • Programming skills.
    • Data Mining/ Machine Learning basics.
    • Independent and team work.
    • Teams of 3-4 students (set up your teams )