Big Data – Fall 2019

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Latest information

  • Please sign up on myStudies for your exercise session.
  • You can do the exercises of the first week at home: follow the instructions to set up the accounts on Moodle, our online class room on Azure, and the Jupyter notebook server. If you need help, come to one of the support sessions in ML F 36 on Wednesday 18/10 or in CAB G 52 on Friday 20/10. Otherwise, enjoy your free time.


Lecture recording

The lectures are recorded by ETH multimedia services and are accessible through the video portal after some days (with your nETHZ credentials and only after the first recording has been uploaded).


TA session

We offer several slots. Check lecture and exercise times to see which slot is yours.

The lecture has a 2A components, meaning that you will have a lot of practical exposure to technology. The TAs will have plenty of practical exercises for you and will help you getting your computers set up in the exercise sessions. Please do not forget to bring your laptops with you to make the most out of it.


ETH EduApp

We will try to make the course a bit interactive, using the ETH ticker application during lectures. You can access it as a web app or install it on your smartphone (learn how).

We recommend trying out the ticker app already now so that the answering process goes smoothly in the lectures. One question about your background is already available as a test so that you can familiarize yourself with the app and answer your first question.