Curricula

Objectives

You master the mathematical modeling and simulation of dynamic systems. You can apply what you have learned, e.g. electrical and control systems and mechatronics.

EUR-ACE KNOWLEDGE AND UNDERSTANDING
You will understand the principles of mathematical modeling related to electrical and automation technology.

EUR-ACE ENGINEERING PRACTICE
You can apply the modeling methods you have learned to solve practical design problems.
Differential equations and their analytical and numerical solution, Modeling and simulation of dynamic systems, Integral transformations and their applications in electrical and control technology

Content

Differential equations and their analytical and numerical solution
Modeling and simulation of dynamic systems
Integral transformations and their applications in electrical and control technology

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1: You are familiar with the concepts and principles, involved in mathematical modeling of dynamic systems, but you have difficulty putting what you have learned into practice.

Satisfactory 2: You master mathematical modeling of dynamic systems satisfactorily. However, there are shortcomings in its application.

Evaluation criteria, good (3-4)

Good 3: You will master the basics of mathematical modeling of dynamic systems and be able to apply what you have learned to the basic applications.

Very good 4: You master the mathematical modeling of dynamic systems with commendability and are able to apply what you have learned to the example applications covered in the course.

Evaluation criteria, excellent (5)

Excellent 5: You have excellent control of mathematical modeling of dynamic systems and are able to creatively apply what you have learned to new applications.

Prerequisites

Adequate math skills in equations, functions, derivative and integral.

Objectives

You master the mathematical modeling and simulation of dynamic systems. You can apply what you have learned, e.g. electrical and control systems and mechatronics.

EUR-ACE KNOWLEDGE AND UNDERSTANDING
You will understand the principles of mathematical modeling related to electrical and automation technology.

EUR-ACE ENGINEERING PRACTICE
You can apply the modeling methods you have learned to solve practical design problems.
Differential equations and their analytical and numerical solution, Modeling and simulation of dynamic systems, Integral transformations and their applications in electrical and control technology

Content

Differential equations and their analytical and numerical solution
Modeling and simulation of dynamic systems
Integral transformations and their applications in electrical and control technology

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1: You are familiar with the concepts and principles, involved in mathematical modeling of dynamic systems, but you have difficulty putting what you have learned into practice.

Satisfactory 2: You master mathematical modeling of dynamic systems satisfactorily. However, there are shortcomings in its application.

Evaluation criteria, good (3-4)

Good 3: You will master the basics of mathematical modeling of dynamic systems and be able to apply what you have learned to the basic applications.

Very good 4: You master the mathematical modeling of dynamic systems with commendability and are able to apply what you have learned to the example applications covered in the course.

Evaluation criteria, excellent (5)

Excellent 5: You have excellent control of mathematical modeling of dynamic systems and are able to creatively apply what you have learned to new applications.

Prerequisites

Adequate math skills in equations, functions, derivative and integral.

Objectives

You master the mathematical modeling and simulation of dynamic systems. You can apply what you have learned, e.g. electrical and control systems and mechatronics.

EUR-ACE KNOWLEDGE AND UNDERSTANDING
You will understand the principles of mathematical modeling related to electrical and automation technology.

EUR-ACE ENGINEERING PRACTICE
You can apply the modeling methods you have learned to solve practical design problems.
Differential equations and their analytical and numerical solution, Modeling and simulation of dynamic systems, Integral transformations and their applications in electrical and control technology

Content

Differential equations and their analytical and numerical solution
Modeling and simulation of dynamic systems
Integral transformations and their applications in electrical and control technology

Learning materials and recommended literature

Glyn, James: Modern engineering mathematics

Teaching methods

Virtual study

Student workload

Virtual lectures and exercises 50 h
Graded exercises 30 h
Total 80 h

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1: You are familiar with the concepts and principles, involved in mathematical modeling of dynamic systems, but you have difficulty putting what you have learned into practice.

Satisfactory 2: You master mathematical modeling of dynamic systems satisfactorily. However, there are shortcomings in its application.

Evaluation criteria, good (3-4)

Good 3: You will master the basics of mathematical modeling of dynamic systems and be able to apply what you have learned to the basic applications.

Very good 4: You master the mathematical modeling of dynamic systems with commendability and are able to apply what you have learned to the example applications covered in the course.

Evaluation criteria, excellent (5)

Excellent 5: You have excellent control of mathematical modeling of dynamic systems and are able to creatively apply what you have learned to new applications.

Prerequisites

Adequate math skills in equations, functions, derivative and integral.

Objectives

You master the mathematical modeling and simulation of dynamic systems. You can apply what you have learned, e.g. electrical and control systems and mechatronics.

EUR-ACE KNOWLEDGE AND UNDERSTANDING
You will understand the principles of mathematical modeling related to electrical and automation technology.

EUR-ACE ENGINEERING PRACTICE
You can apply the modeling methods you have learned to solve practical design problems.
Differential equations and their analytical and numerical solution, Modeling and simulation of dynamic systems, Integral transformations and their applications in electrical and control technology

Content

Differential equations and their analytical and numerical solution
Modeling and simulation of dynamic systems
Integral transformations and their applications in electrical and control technology

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1: You are familiar with the concepts and principles, involved in mathematical modeling of dynamic systems, but you have difficulty putting what you have learned into practice.

Satisfactory 2: You master mathematical modeling of dynamic systems satisfactorily. However, there are shortcomings in its application.

Evaluation criteria, good (3-4)

Good 3: You will master the basics of mathematical modeling of dynamic systems and be able to apply what you have learned to the basic applications.

Very good 4: You master the mathematical modeling of dynamic systems with commendability and are able to apply what you have learned to the example applications covered in the course.

Evaluation criteria, excellent (5)

Excellent 5: You have excellent control of mathematical modeling of dynamic systems and are able to creatively apply what you have learned to new applications.

Prerequisites

Adequate math skills in equations, functions, derivative and integral.

Objectives

You master the mathematical modeling and simulation of dynamic systems. You can apply what you have learned, e.g. electrical and control systems and mechatronics.

EUR-ACE KNOWLEDGE AND UNDERSTANDING
You will understand the principles of mathematical modeling related to electrical and automation technology.

EUR-ACE ENGINEERING PRACTICE
You can apply the modeling methods you have learned to solve practical design problems.
Differential equations and their analytical and numerical solution, Modeling and simulation of dynamic systems, Integral transformations and their applications in electrical and control technology

Content

Differential equations and their analytical and numerical solution
Modeling and simulation of dynamic systems
Integral transformations and their applications in electrical and control technology

Learning materials and recommended literature

Glyn, James: Modern engineering mathematics

Teaching methods

Contact study
Virtual study

Student workload

Virtual study and independent work 80 h

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1: You are familiar with the concepts and principles, involved in mathematical modeling of dynamic systems, but you have difficulty putting what you have learned into practice.

Satisfactory 2: You master mathematical modeling of dynamic systems satisfactorily. However, there are shortcomings in its application.

Evaluation criteria, good (3-4)

Good 3: You will master the basics of mathematical modeling of dynamic systems and be able to apply what you have learned to the basic applications.

Very good 4: You master the mathematical modeling of dynamic systems with commendability and are able to apply what you have learned to the example applications covered in the course.

Evaluation criteria, excellent (5)

Excellent 5: You have excellent control of mathematical modeling of dynamic systems and are able to creatively apply what you have learned to new applications.

Prerequisites

Adequate math skills in equations, functions, derivative and integral.

Objectives

You master the mathematical modeling and simulation of dynamic systems. You can apply what you have learned, e.g. electrical and control systems and mechatronics.

EUR-ACE KNOWLEDGE AND UNDERSTANDING
You will understand the principles of mathematical modeling related to electrical and automation technology.

EUR-ACE ENGINEERING PRACTICE
You can apply the modeling methods you have learned to solve practical design problems.
Differential equations and their analytical and numerical solution, Modeling and simulation of dynamic systems, Integral transformations and their applications in electrical and control technology

Content

Differential equations and their analytical and numerical solution
Modeling and simulation of dynamic systems
Integral transformations and their applications in electrical and control technology

Learning materials and recommended literature

Glyn, James: Modern engineering mathematics

Teaching methods

Contact study
Virtual study

Student workload

Lectures and exercises 30 h
Independent study 50 h
Total 80 h

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1: You are familiar with the concepts and principles, involved in mathematical modeling of dynamic systems, but you have difficulty putting what you have learned into practice.

Satisfactory 2: You master mathematical modeling of dynamic systems satisfactorily. However, there are shortcomings in its application.

Evaluation criteria, good (3-4)

Good 3: You will master the basics of mathematical modeling of dynamic systems and be able to apply what you have learned to the basic applications.

Very good 4: You master the mathematical modeling of dynamic systems with commendability and are able to apply what you have learned to the example applications covered in the course.

Evaluation criteria, excellent (5)

Excellent 5: You have excellent control of mathematical modeling of dynamic systems and are able to creatively apply what you have learned to new applications.

Prerequisites

Adequate math skills in equations, functions, derivative and integral.