Methods of Engineering Analysis

The objective of the course is that the student shall understand and be aware of the principles and basis
of methods of engineering analysis and assessments, statistics, probability theory, reliability analysis,
numerical methods, risk analysis, optimization and digital sign processing. It also serves as the basis
of the subsequent MSc subjects on modelling, design and programming.

weekly

is aware of the principles and basic terms of statistics and probability theory, knows the basic statistical analysis and assessment methods,
is aware of the uncertainties in engineering problems, the distribution functions that are typical in civil engineering problems, and the model development methods,
is aware of the terms of failure probability and reliability index, the principles of basic reliability analysis methods (FORM, SORM and Monte Carlo analysis),
is aware of the definition of risk, principles of risk analysis and decision making analysis,
knows the principles of finite difference, finite volume and finite element methods in solution of partial differentiate equations,
understands the objective function of optimization, can distinguish local and global optimum, and is aware of the principles of the most important classic optimization techniques, applies the statistical and analysis methods for assessment of measuring results,
is able to develop models,
solves simple reliability problems by FORM and Monte Carlo methods using specific softwares,
computes risk on the basis simple logic tree,
is able to formulate numerical solution for simple PDEs
is able to present his/her results in proper written form, follows the lectures, makes effort to understand the study material,
collaborates with the teacher in gaining knowledge,
is continuously gaining knowledge,
is open to the use of IT tools and equipments,
aims accuracy in his/her calculations/solutions, is independent in problem statements and solutions,
aims understanding the complexity, comprehensiveness of the problems and recognizing the synergies.

none

28 h / 14 weeks

3

Continuous control

20

Yes

Budapest University of Technology and Economics

Faculty of Civil Engineering

Department of Structural Engineering