| Dozent/in |
PD Dr. sc. Nadine Bienefeld |
| Veranstaltungsart |
Workshop |
| Code |
FS261634 |
| Semester |
Frühjahrssemester 2026 |
| Durchführender Fachbereich |
Gesundheitswissenschaften |
| Studienstufe |
Doktorat |
| Termin/e |
Di, 03.03.2026, 12:00 - 17:00 Uhr, 1.507
Di, 03.03.2026, 09:00 - 17:00 Uhr, E.506 |
| Inhalt |
Personalized prompting skills for literature review and academic writing (not data analysis). Participants will learn how to craft effective prompts, moving beyond basic queries to leverage AI as a research co-pilot. Ethical and legal guidelines and appropriate scientific conduct will be discussed. |
| Lernziele |
Upon completion of this workshop, students should be able to:
- Understand Core Principles: Define key concepts of large language models (LLMs) and prompt engineering, understanding how they function and their specific applications within health science research.
- Formulate Effective Prompts: Develop and refine structured prompts to effectively retrieve, synthesize, summarize, and critically analyze complex health science information (e.g., for literature reviews, understanding methodologies, or help with generating hypotheses).
- Critically Evaluate AI Outputs: Establish and apply criteria to critically assess the accuracy, relevance, potential biases, and limitations of AI-generated content, particularly concerning clinical data, research findings, and ethical considerations.
- Integrate AI into Research Workflow: Apply advanced prompting techniques to practical PhD research tasks, such as brainstorming research questions, and receiving feedback on manuscript structure, flow and self-written text.
- Address Ethical & Responsible Use: Identify and discuss the key ethical implications, data privacy issues, and principles of responsible AI use specific to the health science domain.
|
| Voraussetzungen |
Basic familiarity with at least one generative AI tool (e.g., ChatGPT, Gemini, Perplexity) is expected. |
| Sprache |
Englisch |
| Begrenzung |
max. 25 |
| Anmeldung |
phd_health@unilu.ch |
| Leistungsnachweis |
Active participation during the workshop and engagement with the provided course materials are expected. |
| Abschlussform / Credits |
Aktive Teilnahme (Textlektüre) / 1 Credits
|
| Hinweise |
To benefit from this course, it is advisable to have a Pro Account. Until December 5th, 2025, all students with an immatriculation at a Swiss University can benefit from a free Gemini Pro Account. Please find further information via this link: https://gemini.google/students/
Gemini Pro also enables advanced features on Notebook LM, which is often very suitable for academic purposes.
|
| Hörer-/innen |
Ja |
| Kontakt |
phd_health@unilu.ch / n.bienefeld@gmail.com |
| Material |
This course uses assigned journal articles and book chapters as the primary literature source. Students are expected to familiarize themselves with the assigned readings and develop a thorough understanding of the material before coming to class. Course literature and case material will be made available on the course’s online learning platform Moodle. |
| Anzahl Anmeldungen |
0 von maximal 25 |