EAS719 Numerical computational methods for engineers

Code EAS719
Name Numerical computational methods for engineers
Status Compulsory/Courses of Limited Choice
Level and type Undergraduate Studies, Academic
Field of study Mathematics and Statistics
Faculty
Academic staff Gatis Bažbauers
Credit points 4.0 (6.0 ECTS)
Parts 1
Annotation Types of engineering problems. Solving of linear and non-linear equation systems. Eigenvalue problems. Interpolation and extrapolation. Numerical differentiation and integration. Solving differential equations. Optimization methods and choice of algorithms..
Goals and objectives
of the course in terms
of competences and skills
To teach the basic types of engineering calculations by using numerical solution methods. Learn the foundations of optimization theory and be able to use the main optimization techniques for solving most frequent optimization tasks. Learn the necessary fundamentals to be able to choose the appropriate algorithm to solve tasks.
Learning outcomes
and assessment
Understanding of the basic aspects of numerical computational methods in engineering calculations. - Examination: Practical works Assessment criteria: accomplished practical works No.1.
Know how to formulate problem and carry out the analysis to determine what methods to choose to solve tasks and develop algorithms. - Examination: Practical works Assessment criteria: accomplished practical works No.1-13.
To be able to resolve basic types of challenges that arise in engineering practice, using the numerical solving methods and spreadsheets. - Examination: Practical works Assessment criteria: accomplished practical works No.1-13.
Understand the foundations of optimization theory to be able to choose and use the basic optimization methods to solve the most frequent optimization tasks. - Examination: Practical works Assessment criteria: accomplished practical works No.8.
To be able to find solutions to various optimization tasks. - Examination: Practical and course work Assessment criteria: accomplished practical work No.8-13, successful defense of course work.
Course prerequisites Mathematics, basic computer and spreadsheet use skills

[Extended course information PDF]