Course manual 2020/2021

Course content

Modelling and Simulation, computing paradigms, complex systems, data analysis, and tools for computational science. Acquired knowledge will be applied in a computational science project, covering the whole chain from model description and simulation on a high-end computer system, data gathering and analysis, to model verification and validation.

Study materials

Other

  • Lecture notes, hand outs, on-line material.

Objectives

  • The aim of this course is to provide an overview of Computational Science and modelling techniques available to the Computational Scientist.

Teaching methods

  • Lecture
  • Computer lab session/practical training

Lectures, guided individual study paths (depending on prior knowledge), project.

Learning activities

Activity

Number of hours

Zelfstudie

168

Attendance

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

Assessment

Item and weight Details

Final grade

1 (100%)

Tentamen

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

Weeknummer Onderwerpen Studiestof
1
2
3
4
5
6
7
8

Timetable

The schedule for this course is published on DataNose.

Additional information

Prerequisites: Academic Bachelor in one of the sciences.

Contact information

Coordinator

  • dr. M.H. Lees