Bachelor's Thesis Preparation 1 - JSB737

• Anglický název: Bachelor's Thesis Preparation 1
• Podoba výuky: cvičení
• Zajišťuje: Katedra sociologie (23-KS)
• Fakulta: Fakulta sociálních věd
• Platnost: od 2025 do 2025
• Počet semestrů výuky: 1
• Semestr: zimní
• E-Kredity: 10
• Způsob provedení zkoušky: zimní s.:
• Rozsah, examinace: zimní s.:0/4, Z [HT]
• Počet míst: neurčen / 20 (20)
• Maximální kapacita předmětu: 20
• Minimální obsazenost: neomezen
• 4EU+: ne
• Virtuální mobilita / počet míst pro virtuální mobilitu: ne
• Stav předmětu: vyučován
• Jazyk výuky: angličtina
• Forma uskutečňování: prezenční
• Další informace: https://dl1.cuni.cz/course/view.php?id=17896
• Možnost opakovaného zápisu: 2 / 2 / 1 / 2
• Poznámka: povolen pro zápis po webu
• Garant: doc. Mgr. Martin Hájek, Ph.D.; Aysha Farhana Chakkampully
• Vyučující: doc. Mgr. Martin Hájek, Ph.D.; Aysha Farhana Chakkampully
• Třída: Courses not for incoming students
• Prerekvizity : {Skupina prerekvizit pro JSB737 (JSB736 nebo JSB749)}
• Je prerekvizitou pro: JSB738

Anotace

The seminar is to help students develop their thesis. During the course students present an discuss their progress in their thesis and comment on the progress of their peers.

Poslední úprava: Kotherová Zuzana, Ing., Ph.D. (27.08.2026)

Sylabus

Week 1 - 29.09. 2026

Introduction. Organisation of the course

Week 2 - 6.10.2026

Mini-lecture

Discuss thesis expectations and reflections, ambitions and fears.

Instructions for writing a thesis research diary.

Week 3- 13.10.2026

Class activity: Discussion of homework.

Mini-lecture: Giving constructive feedback

Forms: critical, positive and negative (without relying on vague phrases like “interesting project” or “I liked it”).

Identifying both strengths and weaknesses in peer projects.

Ethics in feedback & AI

Responsible criticism and respectful engagement.

Considering ambition vs. feasibility in defended theses.

AI consent and ethical boundaries.

Homework

Week 4 - 20.10.2026

Lecture

Using LLM (AI) in your research and writing

Class activity: Sharing experiences with the use of AI;

Discussing productivity & ethics of the use of AI; tips and tricks for chatbot conversation

Power, downsides and ethical considerations in AI usage

Homework

Week 5 - 27.10.2026

Mini-lecture

Class activity: Discussion of homework.

Discussion of the use of literature.

What is the literature for? How many sources? How to cite? Are there differences between good and bad sources? etc.

Week 6 - 03.11.2026

Mini-lecture

Theorizing: Choosing and using theory

The role of theory in a bachelor's thesis. Do I need a theory? How to choose a suitable theory for my research?

Class activity: Sharing experiences with theories and theorising

Week 7 - 11.11.2026

Mini-lecture

Overview of research designs – qualitative, quantitative, mixed.

Choosing the right method for your research question.

Class activity: Discussion of homework.

Homework

Week 8- 18.11.2026

Mini-lecture

Data generation techniques: what counts as data, sampling, access to the field/to data, and ethical issues related to data collection.

Class activity: Discussion of homework.

Homework

Week 9- 25.11.2026

Mini-lecture

Conducting an interview & observation.

Research diary and memos, note-taking, and basics of field work in Social Science.

Class activity: Discussion of homework.

Homework

Week 10- 02.12.2026

Mini-lecture

Analytical approaches - how to analyse data - coding or computing

Week 11- 09.12.2026

Data session 1

Presentation and discussion of part of the data and its analysis in class  (five students)

Week 12- 16.12.2026

Data session 2

Presentation and discussion of part of the data and its analysis in class (five students).

Poslední úprava: Kotherová Zuzana, Ing., Ph.D. (27.08.2026)