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

Lehrveranstaltungen:

• • Fundamentals of PYTHON- and MATLAB-based data acquisition and optimisation
    (Seminar, 4 SWS, Anwesenheitspflicht, Reza Vafadari, Blockveranstaltung 15.8.2022-19.8.2022 Mo-Fr, Sa, So, 8:30 - 16:30, Zoom-Webinar; Blockveranstaltung 22.8.2022-26.8.2022 Mo-Fr, Sa, So, 12:00 - 14:00, Zoom-Webinar; Der erste Block besteht aus der eigentlichen Vorlesung. Im zweiten Block wird eine Fallstudie von den Studierenden bearbeitet und das Lehrpersonal steht für Rückfragen im angegebenen Zeitraum zur Verfügung.)

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: SS 2022, 1. Wdh.: WS 2022/2023

1. Prüfer:

Sebastian Müller