Data Management

11M0491

Master

German

5.0

only winter term

1 semester

The complexity of modern product development and production processes can only be mastered with the support of information technology systems: Data management. Workers in these areas require a professional view of the processes and IT systems with which they work in the operational environment.

After successfully completing the module, students will be able to

• understand the basics of IT systems and design database-based data models for IT systems themselves
• carry out product development efficiently with the help of IT systems
• explain and further develop the mapping of product development processes in data management systems
• make and evaluate design decisions for complex, interacting client-server systems

1. Computer networks and distributed systems

1.1 Networks in information technology

1.2 Client/server technologies in the industrial environment

2. Relational database systems and databases

2.1 Conceptual database design

2.2 Database technology

2.3 Implementation of relational databases, SQL

3. Data management systems, product lifecycle management (PLM)

3.1 Data management in distributed systems

3.2 Product and process data in PDM systems. Resource utilization and sustainability aspects.

3.3 Integration of authoring systems

3.4 Exchange of product data, OEM supplier scenarios

3.5 PLM concepts in the corporate IT environment, interfaces to ERP and other systems

3.6 Current topics in corporate IT

3.7 ERP and their relevance for product development and production

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

• oral exam

• Project Report, written

Graded examination:

• Oral examination: see the applicable General Section of the Examination Regulations.

Ungraded examination:

• Project report (written): 4–8 pages + concept and implementation of a database model.

Basic knowledge about computer technology and a programming language.

Students can analyze data management tasks using appropriate methods and find solutions based on structured procedures. They can understand and use processes in existing data management systems. They know starting points for improvements using professional tools and technologies and can define and document these.

Students are able to find and understand specialist literature on data management topics in general and specifically on methods of product life cycle management. Students are able to classify innovative approaches on the basis of the conceptual and technical foundations they have acquired.

Students master selected concepts and tools of professional information technology. They understand current and professional software systems for designing databases and managing product data and can use them effectively. They assess data management approaches and tools in relation to specific tasks and evaluate their suitability.

Students can analyze and critically evaluate existing and new data management concepts. Students are able to evaluate and actively shape the use of and critical engagement with information technology concepts in the world of work.

Students can identify the challenges involved in the design and use of distributed information technology solutions. They can summarize technical, organizational and ethical issues relating to the use of data management systems. They can discuss these issues actively and in a well-founded and controversial manner with those involved.

• Mechlinski, Thomas

• Mechlinski, Thomas