Open University

Tampere

Computational Physics 2, Lectures

Contact information Email: open.studies.tau [at] tuni.fi Phone: 0294 520 200More information concerning Open University studies <a href="https://www.tuni.fi/open-university">tuni.fi/open-university</a>

Advanced studies

Faculty of Engineering and Natural Sciences

Technology and Natural Sciences

Apply for Open University studies by using the following links:<ul><li><a href="https://tau-avoin.ilmoittaudu.fi/lobby/?realization=J-otm-63258a6a-ed93-4fd8-a9ce-ac269edf3325_2023-tampere-FYS421" target="_blank">FYS.421 Computational Physics 2, lectures, Tampere</a></li></ul>You can find a link to the Open University Admissions service and application instructions on the <a href="https://www.tuni.fi/en/study-with-us/open-higher-education-studies/open-university/applying-open-university">Applying to Open University studies</a> page.Some of the studies require prior studies. For example, studying intermediate studies may require some completed basic studies. These are described on the Information about studies tab of the study unit under prior requirements.When you have been admitted to the studies, you must enrol separately via the Sisu information system for the implementation of the unit of study and, for example if set, for a practise group of your choice. You will receive instructions on how to do this by e-mail after you have confirmed your acceptance of the study place by paying the required fee.

English

Hervanta Campus

Contact teaching

Look information at <a href="https://www.tuni.fi/en/study-with-us/open-higher-education-studies/open-university/applying-open-university">Applying to Open University studies</a>.

Core content<ul><li>Introduction to many-body methodology in computational physics</li><li>Data visualization and analysis</li><li>Numerical calculus and linear algebra</li><li>Numerical solution of ordinary and partial differential equations</li></ul>Complementary knowledge<ul><li>Working with supercomputers and superclusters</li><li>Perceptually uniform colormaps</li><li>Multi-dimensional calculus</li><li>Relation to computational physics</li><li>Basics in related numerical framework</li></ul>Specialist knowledge<ul><li>Details in many-body simulation techniques</li><li>Meaningful publication-quality figures </li><li>How to select and implement some key algorithms</li><li>Usage, implementation and development of related codes</li></ul>

The students will gain preliminary knowledge and experience in many-body simulation techniques in computational physics. This will enable them to manage research projects on rather specific and advanced themes. In general, the students will enhance their abilities and knowledge in <ul><li>performing numerical work independently as well as in a team</li><li>analyzing general results critically</li><li>visualizing and presenting data appropriately</li><li>obtaining and improving their knowledge on information and communication technology</li><li>thinking creatively and seeing alternative ways for problem solving and presenting results</li><li>organizing and conducting own small projects</li><li>introductory many-body methodology</li></ul>

<h2>Recommended Prerequisites</h2><ul><li>Computational Physics 1, FYS.420, 5 cr</li><li>Programming 1: Introduction, TIE-02107, 5 cr</li></ul>

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Computational Physics 2, Lectures

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Computational Physics 2, 5 cr

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Computational Physics 2, Lectures