**Content**

# Mathematical Engineering

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Course abbreviation: P_MIB

Course code: B0541A170021

Course duration: 3 years

### Mathematical Engineering – Course Specializations

### Degree Course Characteristics

The degree course in Mathematical Engineering interrelates courses of several branches of study, namely classical and modern topics of mathematics, physics, and informatics and guides students in the use of the above disciplines in engineering and natural sciences.

Mathematics courses include selected topics of calculus, algebra, differential equations, and numerical mathematics. Physics courses concentrate on mechanics, electricity and magnetism, and waves and optics. Informatics courses equip students with basic computer skills, and develop their abilities in programming, discrete mathematics, and theoretical informatics.

The degree course in Mathematical Engineering offers three specializations of modern mathematics applied to engineering practice. Thus, Mathematical Modelling develops students´ knowledge of functional analysis, partial differential equations, probability, mathematical statistics, and numerical mathematics, and their ability to use them in producing and processing mathematical models for science and engineering via up-to-date computer technology. Mathematical Physics provides an insight into theoretical physics, partial differential equations, and methods of mathematics and geometry used in physics. Mathematical Informatics equips students with a solid knowledge of theoretical informatics, classical and modern programming, network technologies and operation systems.

Understanding the closer links between modern mathematics, physics, and informatics is a good basis for students to obtain a higher academic degree and then be eligible for posts applying their knowledge of mathematics, physics, and natural sciences to practice, science, research, or engineering.

### Graduate´s Profile

**Knowledge:**

Graduates will have gained the knowledge of fundamental disciplines of mathematics, physics, and informatics. According to graduates´ specialization, this basic body of knowledge is enhanced and supplemented with topics of modern mathematics, physics, and informatics. This knowledge will be applied to developing mathematical models, to the use of mathematical methods of theoretical physics, theoretical informatics, and up-to-date methods of mathematical informatics. Graduates can continue their academic training by entering the Continuation Master Programme or a programme of similar character.**Skills:**

The skills acquired comprise the following: application of methods and techniques common in the basic fields of mathematics and physics to solving engineering problems via modern computer methods; application of the above methods and techniques to solving real problems in research and engineering practice, in dynamics of continuum, stochastic systems, optimal control, image processing, mathematical and theoretical physics, and in theoretical and mathematical informatics; ability to interpret results of computations and compare them with the mathematical methods used; ability to follow new trends in a given field, have a quick overview of interdisciplinary findings; to analyse issues, and to synthetize results. The newly acquired skills will also include a sense of responsibility for the work done and decisions made.

**Competency:**

Analytical and systematic approach to what they do - based on the body of knowledge and skills acquired and on the use of information technologies - makes the bachelor graduates well prepared for jobs in industry, for professional use of information, and computer equipment. , for research, and the private sector. They can also continue their academic training in a Continuation Master Programme, develop and administer software applications, process and analyse data and use mathematical methods in practice.

### Specializations

According to the set of compulsory courses, the degree programme further splits into the following specializations.

#### Mathematical Modelling (MM)

The specialization offers a deeper insight into functional analysis, partial differential equations, probability, mathematical statistics, and numerical mathematics as being used to create and to treat computationally mathematical models for science and engineering in practice.

#### Mathematical Physics (MF)

The specialization offers a deeper insight into theoretical physics, partial differential equations, and methods of mathematics and geometry used in physics.

#### Mathematical Informatics (MINF)

The specialization focuses on theoretical informatics, classical and modern programming, network technologies, and operational systems.

### State Final Examination

- Calculus and linear algebra – compulsory part of examination
- Foundations of numerical mathematics – optional part of examination
- General algebra and its applications – optional part of examination
- Analytical mechanics – optional part of examination

Details on the examination and its parts are subject to valid legislation and internal regulations and rules and are available at Study Programmes and Regulations.

Guarantor:

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Department:

Department of Mathematics

Department of Physics

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**Additional information**