470-2109/05 – Mathematical Analysis with Maple (MAMA)

Gurantor departmentDepartment of Applied MathematicsCredits5
Subject guarantordoc. Mgr. Petr Vodstrčil, Ph.D.Subject version guarantordoc. Mgr. Petr Vodstrčil, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageEnglish
Year of introduction2020/2021Year of cancellation
Intended for the facultiesFEIIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
BAI0012 Ing. Michaela Bailová, Ph.D.
VOD03 doc. Mgr. Petr Vodstrčil, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 2+2

Subject aims expressed by acquired skills and competences

The aim is to learn to work with Maple (symbolic computation system) and use it to solve problems of mathematical analysis.

Teaching methods

Lectures
Tutorials
Project work

Summary

The first lesson will be devoted to introduction to the Maple program and its user interface. In addition, students will learn the various commands and mathematical functions. The core of the course will be mathematical analysis, i.e. the calculation of limits, derivatives, integrals, differential equations and graphics (drawing 2D and 3D graphs, parametric curves, implicit functions and animations). The last part will be devoted to Maple programming language and creating functions and procedures.

Compulsory literature:

http://www.maplesoft.com/documentation_center

Recommended literature:

http://www.maplesoft.com/documentation_center

Way of continuous check of knowledge in the course of semester

During the semester will be homework and project.

E-learning

Other requirements

There are not defined other requirements for student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Introduction to user interface. The basic commands, operations and help. Mathematical functions and mathematical expressions. Solving equations and inequalities. Mathematical analysis (limits, derivatives, integrals, differential equations). Graphics (2D and 3D graphs, graphs of implicit functions, parametric curves, animations). Maple programming language, creating functions and procedures.

Conditions for subject completion

Full-time form (validity from: 2020/2021 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Graded credit Graded credit 100  51 3
Mandatory attendence participation: participation at all exercises is obligatory, 2 apologies are accepted participation at all lectures is expected

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Conditions for subject completion and attendance at the exercises within ISP: Completion of all mandatory tasks within individually agreed deadlines.

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2023/2024 (B0541A170009) Computational and Applied Mathematics P English Ostrava 2 Compulsory study plan
2022/2023 (B0541A170009) Computational and Applied Mathematics P English Ostrava 2 Compulsory study plan
2021/2022 (B0541A170009) Computational and Applied Mathematics P English Ostrava 1 Compulsory study plan
2020/2021 (B0541A170009) Computational and Applied Mathematics P English Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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