Teaching and Courses

The Department of Mathematics provides the following courses for the study programmes Applied Mechanical Engineering and Applied Engineering, which provide students with the mathematical, statistical, and physical foundations for technical disciplines:

Mathematics 0

This course is designed to review and reinforce high school mathematics with respect to the technical field of study. Students practice basic calculus procedures and mathematical concepts necessary for further study.

It helps close the gap in initial knowledge and prepares students for subsequent mathematics courses.

Type: compulsory

Mathematics 1

This course provides a basic understanding of differential and integral calculus of functions of one variable. Students learn to analyze the progression of functions and solve mathematical problems using derivatives and integrals.

The emphasis is on applications in engineering fields and the development of analytical thinking.

Type: compulsory

Basics of Linear Algebra

This course introduces students to matrices, vectors, and solving systems of linear equations. Students learn to work with linear spaces and use mathematical methods to solve engineering problems.

The course focuses on practical applications in engineering and computer science disciplines.

Type: compulsory

Statistics for Engineers

This course provides the fundamentals of statistical methods used in engineering practice. Students learn how to process data, analyze dependencies, and work with probabilistic models.

The emphasis is on the practical application of statistics in solving engineering problems and working with data.

Type: optional

Physics 1

This course introduces students to the basic principles of mechanics, electricity, and magnetism. Students learn to solve physics problems using mathematical methods.

The course promotes understanding of the laws of physics and their application in engineering practice.

Type: compulsory

The Department of Mathematics also participates in the teaching of the Master's study programme Applied Engineering, where it provides teaching of the following subjects:

Numerical Methods

This course introduces students to numerical procedures used in solving engineering and technical problems. Students learn to approximate functions, solve equations and systems of equations, integrate numerically, and solve differential equations.

Emphasis is placed on the practical application of computational methods and their implementation in software tools.
Type: compulsory (follow-up Master's studies)

Selected Chapters in Mathematics

This course serves to review and deepen selected topics in mathematics discussed in the undergraduate curriculum. Students consolidate knowledge important for other professional subjects and their practical application.

The emphasis is on the practice and understanding of key mathematical principles in the context of engineering applications.

Type: optional

The Department of Mathematics is also involved in teaching in the Applied Informaticw programme, where it provides the following courses:

Mathematics 0

This course serves to review and reinforce high school mathematics with respect to the technical focus of study. Students practice basic calculus procedures and mathematical concepts necessary for further study.

Helps close the gap in initial knowledge and prepares students for subsequent mathematics courses.

Type: compulsory

Mathematics for APIN

This course provides a basic understanding of mathematical analysis with a focus on working with functions. Students learn to use differential and integral calculus to solve problems in computer science and engineering.

Type: compulsory

Basics of Linear Algebra for APIN

This course introduces students to matrices, vectors, and solving systems of linear equations. Students learn to work with linear spaces and use mathematical methods to solve engineering problems.

The course focuses on practical applications in engineering and computer science disciplines.

Type: compulsory

Statistics for APIN

This course introduces students to statistical methods used in computer science and engineering. Students learn how to analyze data, model dependencies, and interpret results.

The students use the skills they have acquired in working with data and in preparing their final theses.

Type: compulsory