SubjectsSubjects(version: 953)
Course, academic year 2023/2024
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Beginners' course in Mathematica - NMIN203
Title: Mathematica pro začátečníky
Guaranteed by: Department of Mathematics Education (32-KDM)
Faculty: Faculty of Mathematics and Physics
Actual: from 2017
Semester: both
E-Credits: 2
Hours per week, examination: 0/2, C [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Note: you can enroll for the course in winter and in summer semester
Guarantor: doc. RNDr. Antonín Slavík, Ph.D.
Class: M Bc. DGZV > Doporučené volitelné
M Bc. FM
M Bc. FM > Povinné
M Bc. FM > 2. ročník
M Bc. OM
M Bc. OM > Doporučené volitelné
M Bc. MZV > Doporučené volitelné
Classification: Mathematics > Mathematics, Algebra, Differential Equations, Potential Theory, Didactics of Mathematics, Discrete Mathematics, Math. Econ. and Econometrics, External Subjects, Financial and Insurance Math., Functional Analysis, Geometry, General Subjects, , Real and Complex Analysis, Mathematics General, Mathematical Modeling in Physics, Numerical Analysis, Optimization, Probability and Statistics, Topology and Category
Annotation -
The course provides an introduction to the computer system Mathematica and its applications in diverse branches of mathematics.
Last update: T_KDM (20.04.2012)
Aim of the course -

The course provides an introduction to the Mathematica system and its applications in solving mathematical problems.

Last update: T_KDM (20.04.2012)
Course completion requirements -

The number of absences during regular classes plus the number of unsolved exercise sets assigned during distance learning should not exceed 2.

Last update: Slavík Antonín, doc. RNDr., Ph.D. (29.04.2020)
Literature -

Mathematica Documentation Center (built-in documentation).

Hazrat, R.: Mathematica. A Problem-Centered Approach (2nd edition). Springer, 2015

Wellin, P. R.: Programming with Mathematica. An Introduction. Cambridge University Press, 2013.

Mangano, S. Mathematica Cookbook.: O'Reilly Media, 2010.

Boccara N.: Essentials of Mathematica (With Applications to Mathematics and Physics). Springer, 2007.

Wagon, S.: Mathematica in Action (3rd edition). Springer, 2010.

Last update: T_KDM (24.04.2017)
Teaching methods -

A lecture with exercises in a computer lab. Alternatively, it is possible to study online sources available from

Last update: Slavík Antonín, doc. RNDr., Ph.D. (16.01.2024)
Syllabus -

Symbolic and numeric mathematics. Solving equations. Linear algebra, mathematical analysis. Plotting functions, curves and surfaces, discrete data. Interpolation and approximation. Random numbers.

Lists. Rules. The internal representation of expressions. Predicates. Patterns. Pure functions, functional programming. 2D and 3D graphics. Procedural programming. Strings, importing and exporting files. Dynamic interactivity.

Last update: T_KDM (24.04.2017)
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