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Hauptseminar "Data Science" im SS 2016


Course Overview

Data Science is the extraction of knowledge from large volumes of data that are structured or unstructured, which is a continuation of the field data mining and predictive analytics, also known as knowledge discovery and data mining (KDD) [1]. This seminar aims at providing hands-on experience in this area of research, focusing on social media analysis, especially microblogging platforms.

The course is split into three parts. All assignments will be completed in groups of 3-4 students:

  • Part I - Theoretical introduction to data mining for social media. In this first part, you will have to read and understand a publication in a related topic and present it to the participants.
  • Part II - Definition of a relevant problem and draft of a solution solving this problem. During this second part, you will acquaint yourself with the data, define an interesting problem based on the experience you gained and sketch a first pipeline for solving the problem you defined. After this phase you will have time to discuss your ideas and your pipeline with the supervisors.
  • Part III - Implementation of your solution. After implementing your solution and solving your problem, you will present your results to the participants.



The number of participants is restricted. While by now registration is possible for everyone via Uniworx, participants will be selected during the first lecture.

Eligibility Requirements

As this seminar addresses advanced topics in the area of data mining and machine learning, participants must have participated in at least one of the following lectures:

  • KDD1
  • KDD2
  • Machine Learning

Time and Location

Event Date Time Location Downloads
Introduction 14.04.2016 Thu 14:00 to 16:00 Oettingenstr. 67 - C003 Folien
Presentations I (Theory) 09.05.2016 14:00 to 18:00 Oettingenstr. 67 - 061  
Presentations II (Intermediate Results) 09.06.2016 14.00 to 17.00 Oettingenstr. 67 - F103  
Presentations III (Final Results) 08.07.2016 12:00 to 18:00 Oettingenstr. 67 - U127  

Papers to be Presented (Theoretical Part)

Final Presentations

Team Title
A POC - Political Opinion Classifier
B Github Personal Ranking
D Hashtag Hunter
E Hashtag Vorhersage
G Trending Map
H SOD - Spatial Outlier Detection

Zusätzliche Informationen

Vorhergehende Semester

WS 15/16