Course: Mathematical Problems of Non-mathematicians

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Course title Mathematical Problems of Non-mathematicians
Course code KMA/MPNL
Organizational form of instruction Seminar
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 1
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)
  • Vencálek Ondřej, doc. Mgr. Ph.D.
Course content
The Mathematical Problems of Non-mathematicians seminar is a series of semi-professional lectures on the applications of mathematics (not only) for students of mathematics and related fields. Experts from companies or academics with practical experience are invited as lecturers. The seminar will take the form of a streamed lecture. Lectures 2022/23: 22. 2. Radvan Bahbouh (QED Group): Sociomapování - Jak měřit a zobrazovat sociální blízkost 8. 3. Monika Šťastková (Ernst & Young): Když jde v matematice o život 22. 3. René Levinský (BISOP): Proč bych si měl pamatovat víc než ty? (O omezené racionalitě v teorii her) 5. 4. Jan Pilař (Microsoft): Jak se chytají kyberzločinci 19. 4. Rudolf Rosa (MFF UK): HEaiTRE: Generování scénářů divadelních her pomocí jazykových modelů rodiny GPT 3. 5. Jan Kleňha (České priority): Forecasting aneb o předpovídání budoucnosti

Learning activities and teaching methods
Lecture
Learning outcomes
The aim is to broaden students' horizons.
Greater insight
Prerequisites
The desire to learn something interesting

Assessment methods and criteria
Dialog

4 attendances + filling in the corresponding surveys for lectures
Recommended literature


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Data Science (2020) Category: Mathematics courses - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Industrial Mathematics (2020) Category: Mathematics courses - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Business Mathematics (2021) Category: Mathematics courses - Recommended year of study:-, Recommended semester: Summer