SubjectsSubjects(version: 849)
Course, academic year 2019/2020
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Advanced course in Mathematica - NMIN264
Title in English: Mathematica pro pokročilé
Guaranteed by: Department of Mathematics Education (32-KDM)
Faculty: Faculty of Mathematics and Physics
Actual: from 2016
Semester: summer
E-Credits: 2
Hours per week, examination: summer s.:0/2 C [hours/week]
Capacity: unlimited
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Guarantor: doc. RNDr. Antonín Slavík, Ph.D.
Class: M Bc. FM
M Bc. FM > Doporučené volitelné
M Bc. OM
M Bc. OM > 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 -
Last update: T_KDM (20.04.2012)
This course is a continuation of Mathematica for Beginners. It is suitable for all students.
Aim of the course -
Last update: T_KDM (20.04.2012)

This course provides an introduction to advanced programming techniques and

other aspects of the Mathematica system.

Course completion requirements - Czech
Last update: doc. RNDr. Antonín Slavík, Ph.D. (02.10.2017)

Podmínkou získání zápočtu je odevzdání zápočtového programu.

Literature -
Last update: T_KDM (24.04.2017)

Mathematica Documentation Center (built-in documentation).

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.

Slavík A., Wagon S., Schwalbe, D.: VisualDSolve, Visualizing Differential Equations with Mathematica. Wolfram Research, Inc., Champaign, Illinois, 2009.

Teaching methods -
Last update: T_KDM (20.04.2012)

A lecture with exercises in a computer lab.

Syllabus -
Last update: T_KDM (28.04.2014)

Document creation in Mathematica. Efficiency of algorithms. Numerical calculations. Numerical solving of differential equations. External package design. Digital image processing. Manipulate. Data visualization. Discrete mathematics. 2D and 3D graphics.

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