Fundamentals of PYTHON- and MATLAB-based data acquisition and optimization (DACOP)2.5 ECTS
(englische Bezeichnung: Fundamentals of PYTHON- and MATLAB-based data acquisition and optimization)

Lehrveranstaltungen:

• • Fundamentals of PYTHON- and MATLAB-based data acquisition and optimization
    (Seminar, 2,5 SWS, Anwesenheitspflicht, Reza Vafadari, Blockveranstaltung 24.11.2021-26.11.2021 Mo-Fr, 8:30 - 16:30, Zoom-Webinar; Blockveranstaltung 29.11.2021-3.12.2021 Di-Fr, 12:00 - 14:00, Zoom-Webinar)

Inhalt:

Course Overview:
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.

Lernziele und Kompetenzen:

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.
  

Literatur:

• MATLAB Programming for Engineers, 6th edition, Stephen J. Chapman, Cengage Learning, 2020.
  

• Introducing Python, 2nd Edition, Bill Lubanovic, O'Reilly Media, 2019.
  

Studien-/Prüfungsleistungen:

Fundamentals of PYTHON- and MATLAB-based data acquisition and optimization (Prüfungsnummer: 854457)

(englischer Titel: Fundamentals of PYTHON- and MATLAB-based data acquisition and optimization)

mündliche Prüfung, Dauer (in Minuten): 60, benotet

Prüfungssprache: Deutsch oder Englisch

Erstablegung: WS 2021/2022, 1. Wdh.: SS 2022

1. Prüfer:

Sebastian Müller