MVZb2060 Introduction to Internet-based Research

Faculty of Social Studies
Autumn 2024
Extent and Intensity
2/0/0. 4 credit(s). Type of Completion: z (credit).
In-person direct teaching
Teacher(s)
Ing. Mgr. Adriana Ilavská, Ph.D. (lecturer)
Guaranteed by
Mgr. Jana Urbanovská, Ph.D.
Department of International Relations and European Studies – Faculty of Social Studies
Supplier department: Department of International Relations and European Studies – Faculty of Social Studies
Timetable
Thu 12:00–13:40 U34
Prerequisites
This course is offered in English with all readings and discussions in this language.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 8 fields of study the course is directly associated with, display
Course objectives
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.
Learning outcomes
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.
Syllabus
  • This course will be taught as a bulk course; the syllabus is available in the IS to registered students.
Literature
  • 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 and 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
Teaching methods
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.
Assessment methods
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.
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2021, Autumn 2022, Autumn 2023.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2024/MVZb2060