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Lecturer(s)
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Kuřil Martin, RNDr. Ph.D.
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Course content
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unspecified
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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The aim of this course is to develop the language skills of mathematics and data analysis students, focusing on professional communication in English. Students will learn how to present their field of study, abilities, and skills, including writing a CV and a cover letter. They will work with specialized texts in mathematics, statistics, and IT, identifying key ideas, preparing presentations, and creating posters. Emphasis is placed on the correct naming of mathematical objects and statistical graphs, reading and writing mathematical formulas and theorems, as well as understanding the differences between Czech and English typography. Students will also enhance their ability to effectively use AI tools when working with specialized texts.
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
Active participation in seminars and completion of assigned tasks.
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Recommended literature
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Anglický jazyk pre študentov matematiky. .
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MIT OpenCourseWare. .
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AXLER, Sheldon. Linear Algebra Done Right. .
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BUBENÍK, František. Mathematics for engineers. Praha: České vysoké učení technické, 2021. ISBN 978-80-01-06877-9.
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HOSSEIN PISHRO-NIK. Introduction To Probality, Statistics and Random Processes. .
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KŘEPINSKÁ, Alexandra; BUBENÍKOVÁ, Miluša a MIKULÁŠ, Martin. Angličtina (nejen) pro studenty MFF UK. Praha: Matfyzpress, 2019. ISBN 978-80-7378-383-9.
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