SubjectsSubjects(version: 944)
Course, academic year 2023/2024
Computer Algebra System Maple - AB413005
Title: Computer Algebra System Maple
Guaranteed by: Department of Mathematics, Informatics and Cybernetics (446)
Faculty: Faculty of Chemical Engineering
Actual: from 2021
Semester: summer
Points: summer s.:2
E-Credits: summer s.:2
Examination process: summer s.:
Hours per week, examination: summer s.:0/2, MC [HT]
Capacity: unknown / 20 (unknown)
Min. number of students: unlimited
Language: English
Teaching methods: full-time
Teaching methods: full-time
For type: Bachelor's
Additional information:
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Červená Lenka RNDr. Ph.D.
Interchangeability : B413005, N413010, N413010A
Is interchangeable with: B413005
This subject contains the following additional online materials
Annotation -
Last update: Kubová Petra Ing. (06.05.2019)
The course introduces the work environment of Maple, one of the technical computing softwares for engineers. Basic commands and programming structures will be used to solve the problems motivated by applications in chemistry, biology and physics.
Aim of the course -
Last update: Kubová Petra Ing. (06.05.2019)

Students will acquire knowledge of Maple work environment (active knowledge of Maple commands for all basic mathematical operations, ability to create own procedures and work with data). Students should be able to use Maple to solve problems arising from applications in engineering.

Literature -
Last update: Kubová Petra Ing. (06.05.2019)

A: R.B.Israel: Calculus the Maple way. Addison-Wesley Pub. Ltd., 1996

Learning resources -
Last update: Kubová Petra Ing. (06.05.2019)

Teaching methods -
Last update: Kubová Petra Ing. (06.05.2019)

Exercise classes.

Syllabus -
Last update: Kubová Petra Ing. (06.05.2019)

1. Introduction. Algebraic operations

2. Standard functions, user's defined functions

3. Plots in 2D, plots in 3D

4. Animations

5. Limits, differentiation

6. Integration

7. Solving algebraic equations and inequations

8. Linear algebra, Gaussian elimination, determinants, eigenvalues and eigenvectors

9. Ordinary differential equations

10. Programming

11. Application examples

12. Reading data

13. Writing data

14. Final test

Entry requirements -
Last update: Borská Lucie RNDr. Ph.D. (13.05.2019)

Students are expected to have either completed the prerequisite course Mathematics A or possess the equivalent knowledge prior to enrolling in the course.

Registration requirements -
Last update: Borská Lucie RNDr. Ph.D. (06.05.2019)

No requirements.

Teaching methods
Activity Credits Hours
Konzultace s vyučujícími 0.1 3
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi 0.3 7
Práce na individuálním projektu 0.8 23
Účast na seminářích 0.8 23
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