Subjects

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Advanced course in Mathematica - NMIN264

Title:	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 [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

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

Opinion survey results Examination dates Schedule Noticeboard

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: doc. RNDr. Antonín Slavík, Ph.D. (28.05.2021)

This course provides an introduction to advanced programming techniques and

other aspects of the Mathematica system.

Literature -

Last update: doc. RNDr. Antonín Slavík, Ph.D. (28.05.2021)

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: doc. RNDr. Antonín Slavík, Ph.D. (28.05.2021)

A lecture with exercises in a computer lab.

Syllabus -

Last update: doc. RNDr. Antonín Slavík, Ph.D. (28.05.2021)

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.