Inhalt

Abstract:

The aim of the course is to provide students with further insights into primary forming and joining technology and to impart specific knowledge on the application of algorithmic data processing to problems in these areas. The necessary methods from data processing and statistics are taught to students as part of the course, as is the necessary background knowledge of materials and production technology.

Gliederung:

Lecture structure
1. data analysis: methodological knowledge and basics of statistical procedures
2. manufacturing processes: Advanced knowledge of master mol-ding and joining technology
3. modeling of material properties

Exercises:
Application of different methods of data processing

Detaillierter Inhalt:

Students gain in-depth insights into specific problems in master molding and joining technology. In addition, they acquire concrete, methodological knowledge for applying algorithmic data processing to real problems in master molding and joining technology.
The necessary methods from data processing and statistics are taught to students as part of the course, as is the necessary background knowledge of materials and production technology.

Competencies:

- Students are familiar with various methods of data analysis

- Students have an overview of the basics of computer-aided statistical methods

- Students are able to apply data analysis methods to typical challenges in materials science and manufacturing technologies.

- Students understand manufacturing technologies such as casting, welding and additive processes.

- Students understand various material properties.

- Students have a detailed insight into materials technology, e.g. materials testing, fractography, etc.

- Students are able to transfer knowledge of data analysis methods to different areas

Lern-/Qualifikationsziele:

-

Lehrveranstaltungstyp:

Kurs

Interaktionsformen mit Betreuer/in:

E-Mail

Interaktionsformen mit Mitlernenden:

Forum

Kursdemo:

zur Kursdemo

Nutzung

Kurs ist konzipiert für:

FAU Erlangen-Nürnberg:

• Maschinenbau (Master)
• Mechatronik (Master)
• WING (Master)
• International Production Engineering and Management (Master)
• ACES (Master)

Hof University of Applied Sciences:

• Maschinenbau (Master)

Formale Voraussetzungen:

Registration with the Bavarian Virtual University (vhb) and timely registration for the course via the vhb portal.

Erforderliche Vorkenntnisse:

Basic knowledge of manufacturing processes is required.

Hinweise zur Nutzung:

-

Kursumsetzung (verwendete Medien):

-

Erforderliche Technik:

-

Nutzungsentgelte:

für andere Personen als (reguläre) Studenten der vhb Trägerhochschulen nach Maßgabe der Benutzungs- und Entgeltordnung der vhb

Rechte hinsichtlich des Kursmaterials:

-

Verantwortlich

Anbieterhochschule:

Uni Erlangen-Nürnberg (FAU)

Anbieter:

Prof. Dr.-Ing. Sebastian Müller

Autoren:

Sebastian Müller

Fabian Teichmann

Edgard Minete

Betreuer:

Fabian Teichmann

Prüfung

Written examination for the course

Art der Prüfung:

schriftlicher Leistungsnachweis (Klausur)

Bemerkung:

Graded certificate of achievement with written examination

Prüfer:

Prof. Dr.-Ing. Sebastian Müller

Prüfungsanmeldung erforderlich:

ja

Anmeldeverfahren:

Exam registration via the according examination office

Prüfungsanmeldefrist:

–

Prüfungsabmeldefrist:

–

Kapazität:

–

Prüfungsdatum:

10.02.2026

Prüfungszeitraum:

10:00 bis 11:00

Prüfungsdauer:

60 Minuten

Prüfungsort:

Dr.-Mack-Str. 81, 90762 Fürth, Level 5, Raum E5-20

Zuständiges Prüfungsamt:

Examination office of the student's home university

Zugelassene Hilfsmittel:

–

Formale Voraussetzungen für die Prüfungsteilnahme:

Timely registration for the course via the vhb portal and timely registration for the exam

Inhaltliche Voraussetzungen für die Prüfungsteilnahme:

Course content

Zertifikat:

Nein

Anerkennung:

–