This lecture provides an overview of programming techniques for scientific simulations. The focus is on basic and advanced C++ programming techniques and scientific software libraries. Based on an overview over the hardware components of PCs and supercomputer, optimization methods for scientific simulation codes are explained.
Learning objective
The goal of the course is that students learn basic and advanced programming techniques and scientific software libraries as used and applied for scientific simulations.
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
In examination block for
Bachelor's Degree Programme in Computational Science and Engineering 2016; Version 27.03.2018 (Examination Block G1) Bachelor's Degree Programme in Computational Science and Engineering 2018; Version 13.12.2022 (Examination Block G2) Bachelor's Programme in Computational Science and Engineering 2012; Version 13.12.2016 (Examination Block G1)
The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examination
written 180 minutes
Additional information on mode of examination
exam on the computer
Written aids
Any printed or hand-written material may be used.
Digital exam
The exam takes place on devices provided by ETH Zurich.
If the course unit is part of an examination block, the credits are allocated for the successful completion of the whole block. This information can be updated until the beginning of the semester; information on the examination timetable is binding.
Learning materials
No public learning materials available.
Only public learning materials are listed.
Groups
No information on groups available.
Restrictions
There are no additional restrictions for the registration.
Performance assessment as a semester course