FSS:MVZb2060 Internet-based Research - Informace o předmětu

MVZb2060 Introduction to Internet-based Research

Rozsah

2/0/0. 4 kr. Ukončení: z.
Vyučováno kontaktně

Vyučující

Ing. Mgr. Adriana Ilavská, Ph.D. (přednášející)

Garance

Mgr. Jana Urbanovská, Ph.D.
Katedra mezinárodních vztahů a evropských studií – Fakulta sociálních studií
Dodavatelské pracoviště: Katedra mezinárodních vztahů a evropských studií – Fakulta sociálních studií

Rozvrh

Čt 12:00–13:40 U34

Předpoklady

This course is offered in English with all readings and discussions in this language.

Omezení zápisu do předmětu

Předmět je nabízen i studentům mimo mateřské obory.

Mateřské obory/plány

předmět má 8 mateřských oborů, zobrazit

Cíle předmětu

The primary goals of this course are to develop students' practical skills in efficiently utilizing online data sources and databases relevant to International Relations and European Studies. Students will gain hands-on experience in navigating these critical resources, significantly enhancing their ability to conduct independent, data-driven research. Additionally, the course aims to introduce students to AI tools, focusing on effective and proficient use to support their academic work.

Výstupy z učení

Upon successful completion of this course, students will be able to identify and effectively utilize various online data sources and databases integral to the field of International Relations and European Studies. They will gain practical experience in navigating these resources, enhancing their research capabilities. Additionally, students will be introduced to advanced Artificial Intelligence tools that support academic study. They will learn not only how to leverage these AI technologies to augment their research and analysis skills but also understand the ethical considerations necessary for their responsible use.

Osnova

• This course will be taught as a bulk course; the syllabus is available in the IS to registered students.

Literatura

• The Sage handbook of qualitative research. Edited by Norman K. Denzin - Yvonna S. Lincoln - Michael D. Giardina - Gaile Slo. Sixth edition. Los Angeles: Sage, 2024, lviii, 741. ISBN 9781071836743. info
• NORTHEY, Margot, Lorne TEPPERMAN a Patrizia ALBANESE. Making sense : a student's guide to research and writing : social sciences. Eight edition. Don Mills, Ontario: Oxford University Press, 2023, vii, 324. ISBN 9780190164355. info
• MILLER, Jane E. Making sense of numbers : quantitative reasoning for social research. Los Angeles: Sage, 2022, xxxvi, 569. ISBN 9781544355597. info

Výukové metody

The teaching will take the form of interactive lectures that will provide a short introduction to the topic and will be followed by practical examples and discussion.

Metody hodnocení

The final assessment consists of points awarded for a presentation in which students present a short project on a topic they have chosen and developed during the semester. The assessment will particularly focus on the reasoning process involved in selecting artificial intelligence tools for the project and their effective use. For the presentation, students can earn between 0 and 30 points. To successfully complete the course, it is necessary to obtain at least 18 points.

Vyučovací jazyk

Angličtina

Informace učitele

1) Introduction to the course, syllabus, and assessment criteria
2) Overview of relevant online data sources
3) Use of different data sources and data types
4) Techniques for effective data searching and retrieval
5) Practical exercises with data sources
6) Introduction to the methods of data analysis and use in data-driven research
7) Discussion about the final project
8) Introduction to generative AI
9) Overview of AI tools applicable in data-driven research
10) Overview of AI tools applicable in studies
11) Discussing the limits and ethics of AI and data use
12) Seminar focused on finishing projects

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