Teaching

Social and Web Intelligence Seminar

Content and goals of the course

Social media became an inseparable part of today’s companies. The vast amount of user generated data online gives huge advantages to companies primarily by providing them with easy access to customer data free of charge. With every action online, users leave a trace behind which companies can use for a wide variety of decisions – product development and improvement, more targeted advertising, customer support. The user data come in various forms: text, images, videos.

In this seminar we put special focus on text and network data. We first teach the theory behind text and network mining and then apply this knowledge in to given datasets. This is the practical part which will be done during the semester.

For the Master IIS students, the seminar can be chosen as part of the management electives.

Course structure

The course consists of four main parts:

  1. Introduction
  2. Social Network Mining
  3. Text Mining
  4. Applications

There will be lectures throughout the semester introducing the theory basics and short exercises done by the students.

The exam will be in the form of a presentation and final report on a given topic and dataset.

 

Location and Date

  • Kick-Off: 20.10.2016, 5PM in 3.166
  • Lectures will be held each Thursday 15:00 to 16:30 hrs in Room 3.166.Exception: November 10 and December 01 -> there will be no lecture.

Registration winter term 2016/17

Please apply until October 15, 2016 by using the form below:

https://goo.gl/forms/ErqOyyoSRVy9vQOG3

Registration is mandatory. Places are limited and allocated on a first come, fist served basis.

For questions related to the seminar, please send an email to swi.seminar@gmail.com

UPDATE October 17: Registration is now closed. 

Exam ID

Module number 3300 Social and Web Intelligence (5 ECTS)

Exam number 33001 Social and Web Intelligence (portfolio) (5 ECTS)