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Course info
KMA / MATD2
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Course description
Department/Unit / Abbreviation
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KMA
/
MATD2
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Mathematics 2 (in German)
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Form of course completion
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Pre-Exam Credit
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Form of course completion
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Pre-Exam Credit
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Accredited / Credits
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Yes,
3
Cred.
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Type of completion
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-
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Type of completion
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-
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Time requirements
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Lecture
2
[Hours/Week]
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Course credit prior to examination
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No
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Course credit prior to examination
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No
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Automatic acceptance of credit before examination
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No
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Included in study average
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NO
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Language of instruction
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German
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Occ/max
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Automatic acceptance of credit before examination
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No
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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NO
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Summer semester
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Semester taught
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Summer semester
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Minimum (B + C) students
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1
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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German
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
S|N |
Periodicity |
každý rok
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Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
No
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Fundamental theoretical course |
No
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Evaluation scale |
S|N |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
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XLS
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Course objectives:
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The goal is to broaden students' knowledge of selected mathematical disciplines and broaden the knowledge of mathematical terminology in the German language. Thematically the course focuses on the following areas: linear algebra, Bool algebra, graphs theory, linear optimization, differential equations, numeric methods.
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Requirements on student
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The basic requirement is active participation in student teaching, developing a short term paper and submitting a paper that will be student teaching during the presentation. During the semester, the student verifies the knowledge gained in solving one part of the test.
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Content
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The content of the course is to expand students' knowledge gained in basic mathematical objects of a number of application examples and historical notes, and in German language. Specifically, the following areas of mathematics: linear algebra, Bool algebra, graphs theory, linear optimization, differential equations, numeric methods.
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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Recommended:
Volkmann, L. Graphen und Digraphen. Wien, 1991. ISBN 3-211-82267-4.
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Recommended:
Meyberg, K., Vachenauer, P. Hoehere Mathematik 2. Berlin, 2001. ISBN 3-540-41851-2.
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Recommended:
Meyberg, Kurt; Vachenauer, Peter. Höhere Mathematik 1 : Differential- und Integralrechnung : Vektor- und Matrizenrechnung. 6., korrigierte Aufl. Berlin : Springer, 2001. ISBN 3-540-41850-4.
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Recommended:
Artmann. Lineare Algebra.
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Recommended:
Deufhard. Numerische Mathematik II.
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Recommended:
Deuflhard, Peter; Hohmann, Andreas. Numerische Mathematik. 1, Eine algorithmisch orientierte Einführung. 2., überarbeitete Aufl. Berlin : Walter de Gruyter, 1993. ISBN 3-11-013975-8.
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Recommended:
Walter, Wolfgang. Ordinary differential equations. New York : Springer-Verlag, 1998. ISBN 0-387-98459-3.
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Preparation for formative assessments (2-20)
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10
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Presentation preparation (report in a foreign language) (10-15)
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15
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Contact hours
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26
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Undergraduate study programme term essay (20-40)
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30
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Total
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81
|
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
The students are expected outcomes matematily range of high school and first semester of college and an active knowledge of German language, ie the ability to communicate in that language, and knowledge of basic mathematical terminology in the German language equivalent of the course Mathematik (KMA / MATD). |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
Ability to communicate technical issues in a foreign language - German. Ability to develop in a foreign language, brief scholarly text.
After completing the course, students will be able to work with specialized texts in German and prepare technical contribution in the German language as a seminar or conference. |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Test |
Seminar work |
Individual presentation at a seminar |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Interactive lecture |
Textual studies |
Skills demonstration |
Students' portfolio |
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