Course - Applied Computational Methods and Engineering - TS8003
Applied Computational Methods and Engineering
Assessments and mandatory activities may be changed until September 20th.
About
About the course
Course content
The course is aimed at PhD candidates who want or need to apply High-Performance Computing (HPC) in their research. Course topics are: Mathematical modeling of scientific and engineering problems; computational methods; HPC hardware and software configuration; appropriate and efficient use of computational resources.
Learning outcome
After having passed the course, the candidate will have practical experience in formulating mathematical model for her/his research objectives. The candidate should be able to develop a concept and analysis routine for a numerical simulation. The student should have practical competence in assessing the computational requirements and be able to set up an efficient HPC system to conduct her/his research with.
Learning methods and activities
Lectures on case studies, seminars, programming workshops, self study
Further on evaluation
Project report and oral exam including a 30min presentation of the project work and results.
Specific conditions
Admission to a programme of study is required:
Engineering (PHIV)
Recommended previous knowledge
Familiar with the physics and governing equations in own research field.Fundamental knowledge in mathematical modeling and analysis, in particular in analysis of differential equations.
Course materials
Selected articles, book and online material from the field of numerical analysis and HPC
Subject areas
- Marine Technology