Course: Computer Linear Algebra Problems

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Course title Computer Linear Algebra Problems
Course code KMT/ÚLP
Organizational form of instruction Seminar
Level of course Master
Year of study not specified
Semester Winter and summer
Number of ECTS credits 3
Language of instruction Czech
Status of course Optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Kohout Václav, RNDr. Ph.D.
  • Kohout Jiří, Doc. Mgr. Ph.D.
Course content
Course content: Product knowledge 1.Zopakování Mathematica 2nd Basic definitions and sentences LA 3rd Knowledge of the MA and functional analysis 4th Solving linear equations. 5th Working with vectors? scalar, vector product, the base area 6th Numerical solutions for systems of linear algebraic equations - finite methods, iterative methods 7th Gaussian elimination 8th Jacobi and Gauss-Seidel method 9th Method of relaxation and superrelaxační 10th Eigenvalue matrix

Learning activities and teaching methods
Seminar classes, Individual study, Seminar
  • Preparation for formative assessments (2-20) - 10 hours per semester
  • Contact hours - 39 hours per semester
  • Graduate study programme term essay (40-50) - 45 hours per semester
prerequisite
Knowledge
Prerequisite for completion of this course is knowledge of linear algebra, at least for KMA / LA1 and work in Environmental ranges Mathematica at least KMT / PMS.
learning outcomes
Student: - Handles the basics of linear algebra - Can benefit from knowledge of MA and functional analysis - Knows what are the ways of solving linear equations - Can work with vectors? scalar, vector product, the base area - Finds numerical solutions for systems of linear algebraic equations - using finite methods or iterative methods - Uses Gaussian elimination method - Works with the algorithm of Jacobi and Gauss-Seidel method - Is able to use relaxation techniques and superrelaxační - Knows how to use numerical methods to find eigenvalues and eigenvectors Developed are primarily for learning skills, communication skills, problem-solving, work and partly civic and social skills.
teaching methods
Seminar
Individual study
Seminar classes
assessment methods
Test
Seminar work
Individual presentation at a seminar
Recommended literature
  • Míka, Stanislav. Numerické metody algebry. 1. vyd. Praha : SNTL, 1982.
  • Ralston, Anthony. Základy numerické matematiky. 2. vyd. Praha : Academia, 1978.
  • Vitásek, Emil. Numerické metody. 1. vyd. Praha : SNTL, 1987.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Education Study plan (Version): BS Teacher Training in Mathematics (18) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Education Study plan (Version): BS Teacher Training in Mathematics (19) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Education Study plan (Version): BS Teacher Training in Mathematics (17) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: -