SylabUZ
Course name | Packages for symbolic computations |
Course ID | 13.2-WF-FizD-PSC-S17 |
Faculty | Faculty of Physics and Astronomy |
Field of study | Physics |
Education profile | academic |
Level of studies | Second-cycle studies leading to MS degree |
Beginning semester | winter term 2019/2020 |
Semester | 2 |
ECTS credits to win | 3 |
Available in specialities | Theoretical physics |
Course type | obligatory |
Teaching language | english |
Author of syllabus |
|
The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
Laboratory | 30 | 2 | - | - | Credit with grade |
Student's abillity to use Packages for Symbolic Computations and as a support in solving problems in Physics and Mathematics and for Data Visualization.
Knowledge of Linear Algebra and Mathematical Analysis (Ordinary and Partial Differantial Equations). Programming Skills in C or other language.
Functions and Structures in “Mathematica”.
Numerical Calculations, Variables and Formatting (N, Round, Random).
Logical Variables and Operators.
Lists, Vectors and Matrices. (Range, List, Table, Array, Length).
Operations on Strings (Union, Join, StringJoin).
Algebraic Manipulation (Cancel, Together, Apart, Expand, Factor, Collect, Simplify).
Differentiation and Integration (D, Integrate, Nintegrate).
Solving of Algebraic and Differential Equations (Solve, FindRoot, DSolve).
Generating of Two- and Three-Dimensional Graphics (Plot, Plot3D, ListPlot).
Visualization and Data Manipulation (Fit, Histogram).
Special Functions.
The Use of Packages.
Other programms for symbolic computation (Maple, Maxima).
Laboratory classes. Working in groups, joint solving of more complicated or laborious examples.
Outcome description | Outcome symbols | Methods of verification | The class form |
The condition of positive assessment is the accomplishment of all programming exercises.
[1] S. Wolfram, The mathematica book, 5-th ed., Wolfram Media 2003.
[2] E. Don, Mathematica, McGraw-Hill, 2001.
[3] R. Grzymkowski, A. Kapusta, D. Słota, Mathematica narzędzie inżyniera, Wyd. Pracowni Komputerowej J. Skalmierskiego, Gliwice 1994.
Modified by dr hab. Piotr Lubiński, prof. UZ (last modification: 05-03-2020 18:06)