Scientific Computing

Course manual 2023/2024

Course content

The focus is on  developing numerical algorithms (the emphasis is on finite differencing) to solve prototypical partial differential equations.  Examples are the wave equation, the time-dependent diffusion equation, the Laplace equation and reaction-diffusion equations. The validation and verification of numerical schemes for solving these equation will discusssed, Methods for analyzing the stability and accuracy of the numerical scheme will be discussed.

Study materials

Literature

• To be announced

Objectives

• Knowledge. The student has basic knowledge about solving (examples of) partial diferential equations and is able to analyze stability and accuracy of a numerical scheme
• Skills: The student is able to develop a computational model for solving examples of partial differential equations (e.g wave equation, diffusion equations) in (simple) applications

Teaching methods

• Lecture
• Computer lab session/practical training

The course will consist of lectures and practical assignments.

Attendance

This programme does not have requirements concerning attendance (Ter part B).

Assessment

lab assignment 50% and exam 50%

Fraud and plagiarism

The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl

Course structure

Contact information

Coordinator

• dr. J.A. Kaandorp