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Fundamentals of PYTHON- and MATLAB-based data acquisition and optimization (DACOP)

Application of programming for numerical simulation, design optimization and data analysis will be presented in this course. Fundamentals of working in MATLAB environment, using the relevant toolboxes, and starting coding from scratch will be covered. Furthermore, Python scripting will be introduced and working with the most applicable Python libraries for numerical simulations and data analysis will be discussed in this course.

Reiter

Course information

The application of programming for numerical simulation, design optimization and data analysis will be presented in this course. Fundamentals of working in MATLAB environment, using the relevant toolboxes, and starting coding from scratch will be covered. Furthermore, Python scripting will be introduced and working with the most applicable Python libraries for numerical simulations and data analysis will be discussed in this course.

Learning objectives and competencies:
  • Students become familiar with commonly used programming tools and environments in engineering domain.
  • Students can recognize which tools and libraries are appropriate for different engineering applications.
  • Students can apply their programming skills in different domains such as data analysis/visualization, engineering optimization and implementing numerical methods.
  • Opportunity will be given to the students to bring their questions and topics from their own study disciplines and being inspired how they can utilize programming and data analysis approaches for their specific applications and projects.
Topology optimization of a beam and a heat conduction problem

Literature

  • MATLAB Programming for Engineers, 6th edition, Stephen J. Chapman, Cengage Learning, 2020
  • Introducing Python, 2nd Edition, Bill Lubanovic, O'Reilly Media, 2019
The course DACOP is planned for 14.08.2023-18.08.2023. Kick-off meeting is still to be scheduled. You will then receive a task that shall be completed by you or in a small group. In order to support you with setting up your environment/models, we provide consultation sessions as well the following week. The exam date is August 21st. The exam will consist of a presentation of your model and results and some specific questions related to the provided information in the course.

1_Seminar aktuelles Semester

Kurs

Fundamentals of PYTHON- and MATLAB-based data acquisition and optimization - WiSe 2024/25

Seminar, DACOP, 4 SWS, Englisch
Maximale Teilnehmeranzahl:10   Freie Plätze: 3   Aufnahmeanträge/Warteliste: 38  
Blockveranstaltung, Mo 09:00 - 17:00, 3. Feb 2025 - 7. Feb 2025  
Edgard Moreira Minete  
Winter 2024/25: | | » campo  
Um dieses Objekt zu nutzen, müssen Sie angemeldet sein und entsprechende Zugriffsrechte besitzen.  

Archiv

Kurs

Fundamentals of PYTHON- and MATLAB-based data acquisition and optimization - SoSe24

Seminar, DACOP, 2 SWS, Englisch
Maximale Teilnehmeranzahl:10   Freie Plätze: 5   Aufnahmeanträge/Warteliste: 53  
Blockveranstaltung, Mo 09:00 - 17:00, 2. Sep 2024 - 6. Sep 2024  
Edgard Moreira Minete  
Sommer 2024: | | » campo  
Um dieses Objekt zu nutzen, müssen Sie angemeldet sein und entsprechende Zugriffsrechte besitzen.