Course manual 2020/2021

Course content

In this course the student can choose from a selection of advanced computational research projects in statistical, condensed matter, and bio- physics. Each project requires writing simulation codes (various methods will be covered), generating data, post-processing and analyzing the data, and finally presenting the problem and results to the other students in a pedagogical way. This course is an extension to the courses 'Advanced Numerical Methods in Many-Body Physics' and 'Statistical Physics of Soft and Living Matter', and is an ideal preparation for larger-scope research projects (e.g. Master thesis).

Study materials

Literature

  • Will be announced.

Objectives

  • exploring and understanding the physics of a model/problem using numerical simulations
  • programming and implementation of algorithms
  • working independently on a research project
  • production, post-processing, analysis, and interpretation of simulation data
  • presentation skills

Teaching methods

  • Presentation/symposium
  • Self-study
  • Working independently on e.g. a project or thesis
  • Supervision/feedback meeting

Learning activities

Activity

Number of hours

Self-study

80

Presentations by students

4

Attendance

Requirements concerning attendance (OER-B).

  • In addition to, or instead of, classes in the form of lectures, the elements of the master’s examination programme often include a practical component as defined in article A-1.2 of part A. The course catalogue contains information on the types of classes in each part of the programme. Attendance during practical components is mandatory.
  • Additional requirements for this course:

    Attendance of all presentations is mandatory.

    Assessment

    Item and weight Details

    Final grade

    Inspection of assessed work

    Contact your supervisor to make an appointment for inspection.

    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

    Week Topic
    1 Overview and distribution of projects.
    Working on projects individually and regular meetings with the supervisor
    2 Working on projects individually and regular meetings with the supervisor
    3 Working on projects individually and regular meetings with the supervisor
    4 Preparation of the presentation and final presentations by all students

    Timetable

    The schedule for this course is published on DataNose.

    Contact information

    Coordinator

    • dr. P.R. Corboz

    Staff

    • C.P. Broedersz
    • dr. Corentin Coulais
    • dr. S. Jabbari Farouji
    • Edan Lerner
    • Clelia de Mulatier
    • Arghavan Safavi Naini
    • dr. P.R. Corboz