Lecture with integrated exercises for students of the master’s program in industrial engineering and IT engineering.

Content:

• pysical principles
• laser physics
• laser resonators
• laser pulses
• laser systems
• applications of laser systems

Prerequisites:

• basic mathematics in analysis and linear algebra
• basic physics in vibration and waves, electromagnetism and atomic physics
• natural sense for technology and logical thinking

Lecture for students of the master’s program in sustainable and digital business administration and industrial engineering.

Content:

• understanding Climate Change
• SDGs
• sustainable technologies for industrial purposes
• life cycle assessment

Prerequisites:

• natural sense for technology and logical thinking
• basic physics in mechanics, thermodynamics and meteorology

• system handling from login to data backup
• basic methods for the generation of solid bodies, including the use of special design elements such as threads, chamfers, curves, composite bodies, tensile bodies, etc.
• creation of 2D sketches
• creation of assemblies
• derivation of production drawings, assembly drawings and generation of parts lists
• simulation of movements

Lecture for students of the bachelor’s program in industrial engineering, IT-engineering and technical IT.

Content:

• I.Advanced Analysis
• Functions of several variables
• Differential calculus for functions of several variables
• Integral calculus
• Ordinary differential equations of 1st and 2nd order
• II.Numerical Mathematics
• Calculator arithmetic, floating point numbers and error calculation
• Numerical solution of zero problems
• Numerical solution of linear systems of equations
• interpolation, polynomials and cubic splines
• approximation, linear adjustment calculation
• numerical differentiation and integration
• initial value problems of ordinary differential equations

Prerequisites:

• analysis (differentiation and integrals)

Lecture for students of the master’s program in sustainable and digital business administration and industrial engineering.

Content:

• Introduction to Systems Engineering
• System Analysis and Modelling
• System Architecture and Design Principles
• Development Processes and Methods
• Simulation and Prototyping
• Risk Management and Fault Prevention
• Quality Management and Standards
• Economic Efficiency and Sustainability
• System Integration and Testing Procedures
• Cyber-Physical Systems and IoT
• AI and Automation in Systems Engineering
• Future Trends and Final Discussion