Detail
Event details | Erste Schritte in MATLAB
Code | Start date | End date | Location | Organisation/Contact | OT-ST-WS-03 | 07.06.-10.06.2022 (Tue: 10:00-12:00, Wed-Fr: 16:00-18:00) | Blended learning, online | 07.06.2022 | 10.06.2022 | Online (Blended learning) | Data Train data-trainprotect me ?!vw.uni-bremenprotect me ?!.de 0421-218 56788 |
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Free places | Max. participants | 44 | 50 |
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Description
Programming language (like Python, R oder MATLAB) skills are a necessary prerequisite for working with big data and applying advanced data science methods.
Learning contents
- MATLAB Basics
- Importing and Exporting Data
- Programming Basics
- Datatypes
- Scripts
- Functions
- Basic Plotting Tools
Learning outcomes
Learn how to use MATLAB to apply data science methods and turn data into insight.
Prior knowledge
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Technical requirements
- Own PC, laptop
- Internet, web browser (up-to-date)
- For online format a second screen might be beneficial
- MATLAB license
- Installations will be done in the workshop
Further reading
- Poddig, Thorsten; Varmaz, Armin; Fieberg, Christian, Abdel-Karim, Banjamin: Einführung in Matlab für Sozial- und Wirtschaftswissenschaftler, bod, 2021.
Book: https://www.matlab-intro.de/
Video Lectures: https://bit.ly/2UtZKf5
- Poddig, Thorsten; Varmaz, Armin; Fieberg, Christian: "Computational Finance: Eine Matlab, Octave und Freemat basierte Einführung" Uhlenbruch, 2015.
Book: http://www.computationalfinance.de/
Program/Schedule
Tuesday, 07 June 2022 (blended learning, online) | Joint session: 10:00-12:00, you should reserve time slots for self-learning sessions |
Wednesday, 08 June 2022 (blended learning, online) | Joint session: 16:00-18:00, you should reserve time slots for self-learning sessions |
Thursday, 09 June 2022 (blended learning, online) | Joint session: 16:00-18:00, you should reserve time slots for self-learning sessions |
Friday, 10 June 2022 (blended learning, online) | Joint session: 16:00-18:00, you should reserve time slots for self-learning sessions |