Systems of Computer Mathematics in Scientific Researches (am)
Type: For the student's choice
Department: computational mathematics
Curriculum
| Semester | Credits | Reporting |
| 5 | 4 | Setoff |
Lectures
| Semester | Amount of hours | Lecturer | Group(s) |
| 5 | 32 | Borachok I. V. | PMp-31 |
Laboratory works
| Semester | Amount of hours | Group | Teacher(s) |
| 5 | 32 | PMp-31 | Borachok I. V., A. V. Beshley |
Course description
Covers the fundamentals of programming and data analysis in the Octave and R environments. The course includes an overview of basic concepts, data structures, data operations, vectorization, functions, graphing, and statistical analysis. The course is aimed at teaching participants to effectively use these tools for various problems of computational mathematics.
Recommended Literature
- Lachniet J. Introduction to GNU Octave. A brief tutorial for linear algebra and calculus students / Jason Lachniet // Wytheville Community College (3rd edition). – 2020.
- Moore H. MATLAB for Engineers / Holly Moore // Salt Lake Community College, Salt Lake City, Utah. (6th edition). – 2022.
- Nagar S. Introduction to Octave For Scientists and Engineers / Sandeep Nagar // Apress Berkeley, CA. – 2018.
- Quarteroni A. Scientific Computing with MATLAB and Octave / Alfio Quarteroni, Fausto Saleri, Paola Gervasio // Springer Berlin, Heidelberg. – 2016.
- Wickham H. R for Data Science / Hadley Wickham, Garrett Grolemund // O’Reilly Media. – 2017.