Subjects

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Course of Scientific Computing - AM403033

Title:	Course of Scientific Computing
Guaranteed by:	Department of Physical Chemistry (403)
Faculty:	Faculty of Chemical Engineering
Actual:	from 2019
Semester:	summer
Points:	summer s.:6
E-Credits:	summer s.:6
Examination process:	summer s.:
Hours per week, examination:	summer s.:0/5, MC [HT]
Capacity:	unknown / unknown (unknown)
Min. number of students:	unlimited
Language:	English
Teaching methods:	full-time
Teaching methods:	full-time
Level:
For type:	Master's (post-Bachelor)

Guarantor:	Slavíček Petr prof. RNDr. Bc. Ph.D.

Examination dates Schedule

Annotation -

In this subject, students are offered courses that are collected in the Computer Education Center of the ICT Prague (OP VVV project). To fulfil the course, students must complete at least one course and present a final project. Through courses, students will effectively complement the complex computer education, theoretical and practical experience in mathematical modeling, informatics and data processing with a focus on chemistry. Given their knowledge, they will then be able to work more easily on their master's work in research teams, solve semester and final work at a higher level, and also increase their qualifications and uniqueness in finding jobs as graduates.

Last update: Řehák Karel (15.06.2019)

Literature -

Manuals provided by course tutors.

Last update: Řehák Karel (15.06.2019)

Syllabus -

1. Linux, shell (Čech)

2. Distributed version control systems (Znamenáček)

3. Algorithmization and programming in modern languages (e-course) (Finkeová)

4. Object oriented programming (e-course) (Cejnar)

5. Use of databases and SQL (Čech)

6. Introduction to programming with Python (Znamenáček)

7. Matlab - introduction to programming and numerical methods (Lankaš)

8. Parallel programming in OpenMP, MPI, and CUDA (Kolafa)

9. Advanced MATLAB course and introduction to image analysis (Mareš)

10. Mathematica (Pokorný)

11. Modeling of solids (Sedmidubský)

12. Biomolecular modeling (Lankaš)

13. Statistical data analysis (Svozil)

14. Data analysis in R (Spiwok)

15. Multivariate data analysis (Kříž)

16. Processing and analysis of three-dimensional digital images (Veselý)

17. Data mining methods (Kukal)

18. Relational databases and data correlation (Kukal)

19. Introduction to Computational Fluid Dynamics (Jahoda, Isoz)

20. Mathematical modeling of electrochemical systems (Kodým)

21. Thermodynamic modeling (Sedmidubský)

Last update: Řehák Karel (15.06.2019)

Registration requirements -

Chemistry in the range of Bc. studies

Last update: Řehák Karel (15.06.2019)

Course completion requirements -

To complete the course, students must complete at least one course from the offer, create and present a final project.

Last update: Řehák Karel (15.06.2019)