Modern Methods in industrial Mathematics
Overall Course Objectives
Develop experience with concrete problem solving in industrial mathematics
Learning Objectives
- Interpret and simplify descriptions of industrial processes
- Balance use of a variety of mathematical descriptions
- Clarify relevant dimensional ranges of validity for technical descriptions
- Interpret the influence of parameters in mathematical models
- Work effectivly in knowledge-sharing groups
- Analyze and use available data
- Apply advanced numerical tools as solution support
- Present concise and relevant conclusions in a tecjnical report
Course Content
Three days of course work in current topics of applied mathematics and industrial modelling, followed by 1 week of active participation in the ESGI workshop.
Recommended prerequisites
at least a B.Sc. in applied mathematics
Teaching Method
3 days of lecture courses + active participation in the ESGI workshop following the lecture course
Faculty
Limited number of seats
Minimum: 3, Maximum: 15.
Please be aware that this course has a minimum requirement for the number of participants needed, in order for it to be held. If these requirements are not met, then the course will not be held. Furthermore, there is a limited number of seats available. If there are too many applicants, a pool will be created for the remainder of the qualified applicants, and they will be selected at random. You will be informed 8 days before the start of the course, whether you have been allocated a spot.