A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.
BI-PMA Programming in Mathematica Extent of teaching: 2P+2C Instructor: Buk Z. Completion: Z,ZK Department: 18101 Credits: 4 Semester: Z Annotation:
Students will be working with modern technical and scientific software. Students will learn how to use different programming styles (functional programming, rule-based programming, etc.), how to create dynamic interactive applications and visualisations, data processing and presentations.
Lecture syllabus:
1. Introduction 2. Syntax, function definition, working with expressions 3. Graphics, visualisation of functions, data sets, structures, etc. 4. Symbolic an numeric computations 5. Functional programming 6. Rule-based programming 7. Interactive documents - manipulators, interactive visualisations 8. Import and export of data, databases connectors 9. Typography in Mathemtica, dynamic documents 10. Selected application packages, parallel computations, neural networks 11. Creating application packages and projects 12. J/Link, mathlink - integration with Java and C 13. Online databases, data paclets, Wolfram Alpha Seminar syllabus:
1. Introduction 2. Introduction to programming in Mathematica 3. Graphics and visualisation 4. Symbolic computations 5. Functional programming, project consultation 6. Rule-based programming, project consultation 7. Interactive manipulators, project consultation 8. Project consultation 9. Project consultation 10. Project presentation 11. Project presentation 12. Project presentation 13. Assessment Literature:
Wolfram Mathematica Documentation Center - http://reference.wolfram.com/mathematica/guide/Mathematica.html Wolfram Screencast and Video Gallery - http://www.wolfram.com/broadcast/ Wolfram Education Group, Free online seminars - http://www.wolfram.com/services/education/seminars/ Wolfram Demonstration Projects - http://demonstrations.wolfram.com/Requirements:
Basic knowledge of algorithmization (cycles, conditions, etc.) and data structures (mainly arrays).
Informace o předmětu a výukové materiály naleznete na https://courses.fit.cvut.cz/BI-PMA/ The course is also part of the following Study plans:
Page updated 29. 3. 2024, semester: L/2021-2, Z,L/2023-4, Z/2021-2, Z/2020-1, Z/2019-20, L/2020-1, Z,L/2022-3, L/2019-20, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška