Introduction to computational science - NSCI030

• Anglický název: Introduction to computational science
• Zajišťuje: Fyzikální ústav UK (32-FUUK)
• Fakulta: Matematicko-fyzikální fakulta
• Platnost: od 2023
• Semestr: zimní
• E-Kredity: 5
• Rozsah, examinace: zimní s.:2/2, Z+Zk [HT]
• Počet míst: neomezen
• Minimální obsazenost: neomezen
• 4EU+: ne
• Virtuální mobilita / počet míst pro virtuální mobilitu: ne
• Stav předmětu: vyučován
• Jazyk výuky: angličtina
• Způsob výuky: prezenční
• Způsob výuky: prezenční
• Garant: RNDr. Ondřej Maršálek, Ph.D.; Mgr. Emil Varga, Ph.D.

Anotace

Poslední úprava: RNDr. Vladimír Kopecký, Ph.D. (16.02.2022)

The course Introduction to computational science provides a broad overview of the fundamentals of computational science and more broadly the use of computational tools in natural science. Concepts are introduced with the aim of providing a general understanding of the field and showing the range of available tools and options. Examples of specific software are provided with focus on open-source software. Practical hands-on exercises offer the opportunity to practice the concepts introduced in the course and to gain experience in the use of these tools.

Podmínky zakončení předmětu

Poslední úprava: doc. RNDr. Karel Houfek, Ph.D. (02.05.2023)

Class credit is given for completing practical exercises and homework. The final grade will be based on a midterm test (25 %), a final test (25 %), and oral examination (50 %).

Literatura

Poslední úprava: RNDr. Vladimír Kopecký, Ph.D. (16.02.2022)

• Nell Dale, John Lewis, Computer science illuminated, Jones & Bartlett Learning, 2020

• Joakim Sundnes, Introduction to Scientific Programming with Python, Springer International Publishing, 2020

• Lecture notes and other provided material

Požadavky ke zkoušce

Poslední úprava: doc. RNDr. Karel Houfek, Ph.D. (02.05.2023)

The requirements for the exam correspond to the course syllabus to the extent that was given in the lectures.

Sylabus

Poslední úprava: RNDr. Ondřej Maršálek, Ph.D. (03.10.2023)

• Modern computer architecture, personal computers, workstations, supercomputers

• Operating systems, history, currently available systems, user interface types, command line

• Networking, the Internet, encrypted communication, using remote computers

• Fundamentals of programming and software development, types of programming languages, programming paradigms, program flow control, data structures

• Computer algebra systems and symbolic manipulation

• Numerical computation

• Interactive computing, notebook-style interface

• Data processing and plotting

• Sharing code and data, version control systems, repositories

• Computer graphics, vector and raster images

• Desktop publishing, preparing publication-quality documents, presentations, plots, and graphics

• Tools for live online collaboration

• Parallelization and high-performance computing

• Machine learning, artificial intelligence