Courses in Technology and Innovation Management for exchange students
Objective:
Students are able to understand the meaningfulness of environmental aspects in the society and their future jobs. They are given insights of enironmenally friendly ways to produce obejcts and to run businesses. They deeply understand the STOP method (substitution, technical, organizational and personell) to minimize any type of risks which may occur. They are trained to perform a work risk assessment and to find actions accordingly for risk minimization. They got a deeper backround knowledge on basic environmental technologies (e. g. waste management/ circular economy, water management, treatment ofair pollution) and about environmental and occopational health and safety management systems.
Content:
• Introduction to EHS
• Risk Assessment
• Technologies for Occupational Health and Safety
• Environmental technologies: Water supply and waste water management; Waste management/ circularaconomy; Treatment of air pollution
• Integrated product policy
• Environmental and Occopational Health Management Systems
Objective:
Students understand that science communication is a multi-faceted notion. They know diverse communicative acts that are related to scientific knowledge or work, addressing professionals of their field or the public, intending to inform, influence, enlighten, argue or negotiate about science. The students will develop their presentation skills applying their knowledge about structuring, delivering as well as different presentation cultures. Students know how to use a reference management system. They apply corevalues of academic ethos and know how to avoid plagiarism.
Content:
Objective:
The students:
- are in a position to gather and interpret typical features of Industry 4.0 systems
- command basic knowledge about Industry 3.0 (e. g. control, communication, robotics)
- know basic Industry 4.0 models and standards
- may use their knowledge to design, implement and test appropriate laboratory systems
- are able to use basic engineering tools
Content:
• History of Industry 4.0
• Reference Architecture Model Industry 4.0 (RAMI)
• Data as requirement, resource and vital outcome of production
• Sustainable data management and data identification
• Advanced industrial control strategies (e. g. motion)
• Usage of digital data to connect business layers and production units
Objective:
The goal of the module is to get the ability to perform basic calculations for the design of a permanent magnet excited synchronous generator using the finite element method based on the ANSYS software. This includes FEM simulations in the fields of structural mechanics, thermal management and permanentor electrically excited magnetic fields. Finally, the simulation results are checked by measurement using a model generator.
The students ...
- know different simulation techniques in terms of modeling and simulation methodology
- have basic knowledge of ANSYS programming
- know the differences of steady-state / transient calculations
- can handle nonlinear material behavior in the simulation
- can perform a modal analysis for a mechanical system
- can evaluate and interpret the results
- know the basics for the calculation of stresses in mechanical components, especially in beams
- can apply the heat transfer mechanisms ’heat conduction’ and ’convection’ to thermal tasks in the simulation
- know the basic concepts in the field of magnetism and are able to calculate and simulate simple magnetic circuits analytically
Content:
Basics of the finite element method: (discretization, meshing, Ritz’s method, approach functions, element types, sources of errors, basics of modelling, analytical verification, methods of analysis: static, transient, modal, linear, non-linear), degrees of freedom, application of loads and constraints, utilization of symmetries
ANSYS: Programming language APDL, introduction to FEM simulation with ANSYS, application examples from the field of electrical machines
Programming examples: Strength theory/structural dynamics 2D/3D, thermal (heat conduction, convection), electric heat generation, heat flux, magnetic circuit / magnetic simulation, inductance determination, forces resp. torque in electric machines
Objective:
Computer Science (CS) has grown beyond its own bounds to become a multidisciplinary field that touches many other fields of science and overlaps with engineering disinclines. Over the years, CS has developed quickly in both depth and breadth and now consists of a range of sub-areas. The development of the next generation of cyber-physical systems requires engineers to have a broad knowledge of current research topics in the field of CS. In the course, various areas and current developments are presented and discussed. This includes fundamental knowledge, practical application, and hot research topics in the area of algorithms and data structures, databases, software testing, and software engineering.
Content:
Different language courses on different levels are offered. A short entry test will be made at the beginning of the semester to identify suitable courses.
