Course: Working with Mathematic Software

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Course title Working with Mathematic Software
Course code KMT/PMS
Organizational form of instruction Lecture + Tutorial
Level of course Bachelor
Year of study 3
Semester Winter and summer
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Honzík Lukáš, PhDr. Ph.D.
  • Königsmarková Soňa, Mgr. et Mgr. Ph.D.
Course content
1. Mathematica - introduction to the environment 2. Mathematica - expressions , constants and variables 3. Mathematica - expressions, constants and variables 4. Mathematica - Linear Algebra 5. Mathematica - Linear Algebra 6. Mathematica - 2D and 3D graphs 7. Mathematica - 2D and 3D graphs 8. Mathematica - Differential Calculus 9. Mathematica - Programming 10. Mathematica - programming 11. Mathematica - contexts, modules 12. Mathematica - contexts, modules and packages

Learning activities and teaching methods
Lecture with practical applications, Individual study, Lecture, Practicum
  • Preparation for formative assessments (2-20) - 40 hours per semester
  • Contact hours - 39 hours per semester
  • Undergraduate study programme term essay (20-40) - 40 hours per semester
prerequisite
Knowledge
have knowledge of basic mathematical analysis, linear algebra and discrete mathematics
Skills
solve simple problems of mathematical analysis, linear algebra and discrete mathematics
create and implement a simple algorithm for a problem
Competences
N/A
N/A
N/A
N/A
learning outcomes
Knowledge
learn to create simple algorithms in Mathematica
describe basic linear algebra procedures
name basic software for mathematics
Skills
work with a defined part of Mathematica
algorithmize tasks and perform them in Mathematica
create their own auxiliary functions and procedures for easier and simpler application of the software in mathematics
solve mathematical analysis tasks - derivation, integration of functions and their applications
Competences
N/A
teaching methods
Knowledge
Lecture
Practicum
Individual study
Interactive lecture
Na přednášce získá student základní postupy při řešení úloh v prostředí Mathematica V průběhu přednášky jsou demostrovány úlohy s ukázkami jejich řešení pomocí prostředků programu
Skills
V průběhu semináře jsou řešeny komplikovanější úlohy a prováděn jejich komplexní analýza
Seminar
Lecture
Individual study
Interactive lecture
Competences
Studenti své seminární práce upravují tak, aby získali kladné hodnocení
Individual study
assessment methods
Knowledge
Test
Seminar work
Individual presentation at a seminar
student úspěšně absolvujuje písemný test - aspoň 66 bodů z celkově maximálně 100 bodů student řeší problematiku matematického modelu a jeho zpracování
Skills
student úspěšně absolvujuje písemný test - aspoň 66 bodů z celkově maximálně 100 bodů student řeší problematiku matematického modelu a jeho zpracování
Test
Seminar work
Individual presentation at a seminar
Competences
the student successfully completes a seminar paper on the creation of a mathematical model and its implementation in Wolfram
Self-evaluation
Recommended literature
  • Michael Trott. The Mathematica GuideBook. 2004. ISBN 0-387-94282-3.
  • Wellin, Paul R.; Gaylord, Richard J.; Kamin, Samuel N. An introduction to programming with Mathematica. 3rd ed. Cambridge : Cambridge University Press, 2005. ISBN 0-521-84678-1.


Study plans that include the course
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Faculty: Faculty of Education Study plan (Version): Studies in Mathematics (18) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Summer
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Faculty: Faculty of Education Study plan (Version): Chemistry in Education (19) Category: Chemistry courses 2 Recommended year of study:2, Recommended semester: Summer
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