Coding & Data Management
Niveau
First cycle, Bachelor
Learning outcomes of the courses/module
The participants are able to:
• read software programs
• program and test simple software on their own
• understand the software development process
• understand the importance of software for product development and production
• read software programs
• program and test simple software on their own
• understand the software development process
• understand the importance of software for product development and production
Prerequisites for the course
not applicable
Course content
• Introduction to programming languages (classification, principles, history)
• Teaching skills for procedural and object-oriented programming using C# as an example
• Structure of programs, data types, operators
• Structured programming, functions, file handling, modularization
• Aspects of the software development process (conception, implementation, test, introduction)
• References to industrial engineering-specific application fields (e.g. programmable control and regulation systems)
• Understanding and differentiating the structure of information systems
• Identification of interfaces to mobile devices
• Cloud computing
• Data security
• Testing
• Use and Inegration of AI with ERP Systems
• Role of AI with new Business Processes
• Teaching skills for procedural and object-oriented programming using C# as an example
• Structure of programs, data types, operators
• Structured programming, functions, file handling, modularization
• Aspects of the software development process (conception, implementation, test, introduction)
• References to industrial engineering-specific application fields (e.g. programmable control and regulation systems)
• Understanding and differentiating the structure of information systems
• Identification of interfaces to mobile devices
• Cloud computing
• Data security
• Testing
• Use and Inegration of AI with ERP Systems
• Role of AI with new Business Processes
Recommended specialist literature
• Braun, Esswein, Greifenberg (2006): Einführung in die Programmierung; Springer
• Herold, Wurz, Wohlrad, Hopf (2017): Einführung in die Informatik; Person
• Wolf (2016): Grundkurs C, 2. Auflage, Rheinwerk
• Bocij, Greasley, Hickie (2008): Business Information Systems, 5th Ed. , Pearson Studium Munich.
• Wagner, Hüttel, Backin (2012) Einführung Wirtschaftsinformatik: IT-Grundwissen für Studium und Praxis, Springer, Gabler Verlag
• Laudon, Schoder (2009): Wirtschaftsinformatik, eine Einführung, 2rd Ed. Pearson Studium München.
• Gronwald (2015) Integrierte Business-Informationssysteme: ERP, SCM, CRM, BI, Big Data Analytics - Prozesssimulation, Rollenspiel, Serious Gaming (eXa-men.press), Springer Vieweg Verlag.
• Alpar, Alt (2014), Anwendungsorientierte Wirtschaftsinformatik: Strategische Pla-nung, Entwicklung und Nutzung von Informationssystemen, 7. Aufl.Springer Verlag
• Herold, Wurz, Wohlrad, Hopf (2017): Einführung in die Informatik; Person
• Wolf (2016): Grundkurs C, 2. Auflage, Rheinwerk
• Bocij, Greasley, Hickie (2008): Business Information Systems, 5th Ed. , Pearson Studium Munich.
• Wagner, Hüttel, Backin (2012) Einführung Wirtschaftsinformatik: IT-Grundwissen für Studium und Praxis, Springer, Gabler Verlag
• Laudon, Schoder (2009): Wirtschaftsinformatik, eine Einführung, 2rd Ed. Pearson Studium München.
• Gronwald (2015) Integrierte Business-Informationssysteme: ERP, SCM, CRM, BI, Big Data Analytics - Prozesssimulation, Rollenspiel, Serious Gaming (eXa-men.press), Springer Vieweg Verlag.
• Alpar, Alt (2014), Anwendungsorientierte Wirtschaftsinformatik: Strategische Pla-nung, Entwicklung und Nutzung von Informationssystemen, 7. Aufl.Springer Verlag
Assessment methods and criteria
Portfolio exam
Exam
Exam
Language
German
Number of ECTS credits awarded
4
Semester hours per week
Planned teaching and learning method
Integrated course
Semester/trimester in which the course/module is offered
2