402-0811-00L  Programming Techniques for Scientific Simulations I

SemesterAutumn Semester 2021
LecturersR. Käppeli
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
402-0811-00 GProgramming Techniques for Scientific Simulations I4 hrs
Thu13:45-17:30HCI J 3 »
R. Käppeli

Catalogue data

AbstractThis 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.
ObjectiveThe 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 forBachelor'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)
ECTS credits5 credits
ExaminersR. Käppeli
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationwritten 180 minutes
Additional information on mode of examinationexam on the computer
Written aidsAny printed or hand-written material may be used.
Online examinationThe examination may take place on the computer.
Distance examinationIt is not possible to take a distance examination.
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.

Offered in

ProgrammeSectionType
Micro- and Nanosystems MasterElective Core CoursesWInformation
Neural Systems and Computation MasterElectivesWInformation
Physics BachelorSelection of Higher Semester CoursesWInformation
Physics MasterSelection: Theoretical PhysicsWInformation
Computational Science and Engineering BachelorBlock G2OInformation