Einleitung
Der Modulkatalog hilft Ihnen bei der Planung Ihres Studiums, indem er Ihnen
eine Übersicht über alle Module Ihres Studienprogramms bietet.
Das Dokument enthält folgende Rubriken:
Der Modulkatalog ist ein Informationsdokument und nicht rechtsverbindlich.
Zu Beginn jedes Semesters wird eine aktuelle Version auf der Website der
Philosophischen Fakultät publiziert.
Übersicht über die Modulgruppen
Übersicht über die Module in den Modulgruppen
06M-7248i02Research Areas in Communication Science
Module in der Gruppe: Research Areas in Communication Science
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Diese Modulgruppe enthält ausschliesslich Wahlmodule.
Informieren Sie sich im Vorlesungsverzeichnis über das aktuelle Angebot. |
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06M-7248i03Research Areas in Internet & Society
Module in der Gruppe: Research Areas in Internet & Society
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Diese Modulgruppe enthält ausschliesslich Wahlmodule.
Informieren Sie sich im Vorlesungsverzeichnis über das aktuelle Angebot. |
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06M-7248i04Research Competencies Internet & Society
06M-7248i05Further Topics in the Field
Katalog der Pflichtmodule, Wahlpflichtmodule und Wahlmodule
Der Katalog enthält Informationen zu jedem Pflicht- und Wahlpflichtmodul.
Zum Teil finden Sie auch Informationen zu Wahlmodulen (Modultitel in eckigen
Klammern). Beachten Sie, dass die Titel von Wahlmodulen semesterweise wechseln
können und dass oft weitere, nicht im Modulkatalog enthaltene Wahlmodule
angeboten werden. Diese und alle anderen semesterbezogenen Informationen
(wie Veranstaltungstitel, Termine, Dozierende, Informationen zur Buchung)
entnehmen Sie dem aktuellen Vorlesungsverzeichnis.
06SM248-700 Research Seminar in Internet & Society 1
Moduldetails: 06SM248-700 Research Seminar in Internet & Society 1
| Modulgruppe |
Research Competencies Internet & Society |
| Modultyp |
Wahlpflicht |
| ECTS |
9 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
The research seminar in Internet & Society is a module in which students on their own or in teams are accompanied and guided through a theoretical and methodological developed and level-specific research project. |
| Lernziel |
Students are enabled to conduct a research project on the master level in all theoretical and methodological dimensions and appropriately present their findings both orally and in writing. |
| Unterrichtssprache |
Englisch |
| Voraussetzungen |
Module «Multivariate Statistics» successfully completed.
This module is open only to Master's students. It may not be booked by Bachelor'sstudents as a pre-Master's module. |
| Leistungsnachweis |
Portfolio |
| Notenskala |
1-6, in Halbschritten |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
1-semestrig (jedes 2. Frühjahrssemester) |
| Organisation |
Institut für Kommunikationswissenschaft und Medienforschung |
06SM248-701 Research Seminar in Internet & Society 2
Moduldetails: 06SM248-701 Research Seminar in Internet & Society 2
| Modulgruppe |
Research Competencies Internet & Society |
| Modultyp |
Wahlpflicht |
| ECTS |
9 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
The research seminar in Internet & Society is a module in which students on their own or in teams are accompanied and guided through a theoretical and methodological developed and level-specific research project. |
| Lernziel |
Students are enabled to conduct a research project on the master level in all theoretical and methodological dimensions and appropriately present their findings both orally and in writing. |
| Unterrichtssprache |
Englisch |
| Voraussetzungen |
Multivariate Statistik (oder Äquivalent) erfolgreich absolviert
This module is open only to Master's students. It may not be booked by Bachelor's students as a pre-Master's module. |
| Leistungsnachweis |
Portfolio |
| Notenskala |
1-6, in Halbschritten |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
1-semestrig (jedes 2. Herbstsemester) |
| Organisation |
Institut für Kommunikationswissenschaft und Medienforschung |
06SM248-702 Research Seminar in Internet & Society 3
Moduldetails: 06SM248-702 Research Seminar in Internet & Society 3
| Modulgruppe |
Research Competencies Internet & Society |
| Modultyp |
Wahlpflicht |
| ECTS |
9 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
The research seminar in Internet & Society is a module in which students on their own or in teams are accompanied and guided through a theoretical and methodological developed and level-specific research project. |
| Lernziel |
Students are enabled to conduct a research project on the master level in all theoretical and methodological dimensions and appropriately present their findings both orally and in writing. |
| Unterrichtssprache |
Englisch |
| Voraussetzungen |
Multivariate Statistik (oder Äquivalent) erfolgreich absolviert
This module is open only to Master's students. It may not be booked by Bachelor's students as a pre-Master's module. |
| Leistungsnachweis |
Portfolio |
| Notenskala |
1-6, in Halbschritten |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
1-semestrig (jedes 2. Frühjahrssemester) |
| Organisation |
Institut für Kommunikationswissenschaft und Medienforschung |
06SM248-703 Research Seminar in Internet & Society 4
Moduldetails: 06SM248-703 Research Seminar in Internet & Society 4
| Modulgruppe |
Research Competencies Internet & Society |
| Modultyp |
Wahlpflicht |
| ECTS |
9 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
The research seminar in Internet & Society is a module in which students on their own or in teams are accompanied and guided through a theoretical and methodological developed and level-specific research project. |
| Lernziel |
Students are enabled to conduct a research project on the master level in all theoretical and methodological dimensions and appropriately present their findings both orally and in writing. |
| Unterrichtssprache |
Englisch |
| Voraussetzungen |
Multivariate Statistik (oder Äquivalent) erfolgreich absolviert
This module is open only to Master's students. It may not be booked by Bachelor's students as a pre-Master's module. |
| Leistungsnachweis |
Portfolio |
| Notenskala |
1-6, in Halbschritten |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
1-semestrig (jedes 2. Herbstsemester) |
| Organisation |
Institut für Kommunikationswissenschaft und Medienforschung |
06SM254-501 Multivariate Statistics
Moduldetails: 06SM254-501 Multivariate Statistics
| Modulgruppe |
Research Competencies Internet & Society |
| Modultyp |
Pflicht |
| ECTS |
6 |
| Lehrform |
Übung, Vorlesung |
| Allgemeine Beschreibung |
The module consists of a lecture and an accompanying tutorial. The lecture focuses in depth on multivariate regression analysis, multivariate analysis of variance, and their statistical prerequisites. Furthermore, students will gain insights into advanced multivariate methods and their typical fields of application. Students will learn how to interpret statistical results and how to document them in research papers and theses. The accompanying tutorial focuses on the methods using data examples. |
| Lernziel |
Students will gain advanced knowledge in the area of multivariate statistics as well as data analysis, and know their prerequisites, applications and limitations. Students will be able to understand, interpret, and critically compare complex multivariate statistical analyses in research reports. Students will be able to perform complex multivariate analyses independently, and interpret the output results. Students will also be able to acquire knowledge independently about additional multivariate procedures from specialized literature and attend corresponding specialized lectures. |
| Unterrichtssprache |
Englisch |
| Voraussetzungen |
keine |
| Leistungsnachweis |
Schriftliche Prüfung |
| Notenskala |
1-6, in Halbschritten |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
1-semestrig (jedes Herbstsemester) |
| Organisation |
Institut für Kommunikationswissenschaft und Medienforschung |
10SMSTS-102 Sustainability now! Feminist Pathways to environmental justice
Moduldetails: 10SMSTS-102 Sustainability now! Feminist Pathways to environmental justice
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
3 |
| Lehrform |
Vorlesung |
| Allgemeine Beschreibung |
The event will be conducted as a lecture series by the Right Livelihood Center and the Sustainability Hub. The event always opens with an introductory presentation by a winner of the Alternative Nobel Prize. The lectures by laureates do not fall within classic academic areas but instead demonstrate impressively how knowledge is operationalized in the field. Additionally, engaging with the award winners promotes inter-, trans-, and multidisciplinary ways of thinking. This is because their achievements, for example in the areas of human rights or ecology, cannot be clearly assigned to a single field of study. The topic of sustainability is explored from various perspectives. Each evening, alongside the winners, there will be a representative from research and civil society on the podium. |
| Lernziel |
The students acquire inter- and transdisciplinary skills. The group of moderators works on performance skills. The podcast group increases media competence. All students understand that complex societal challenges can only be tackled through transdisciplinary approaches and practice. |
| Unterrichtssprache |
English |
| Voraussetzungen |
Good knowledge of English is a prerequisite. The willingness to engage in different work formats. Willingness to take responsibility for the event. |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
bestanden/nicht bestanden |
| Repetierbarkeit |
keine Wiederholungsmöglichkeit |
| Angebotsmuster |
1-semestrig (jedes Frühjahrssemester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-106 UZH Innovathon: The Digitalization of Mobility
Moduldetails: 10SMSTS-106 UZH Innovathon: The Digitalization of Mobility
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
3 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
This transdisciplinary course equips students with innovation skills through structured, hands-on problem-solving techniques. Innovation is essential for developed economies like Switzerland to sustain their international standing and economic wellbeing.
Students learn how to approach problems creatively, collaborate across disciplines, and develop impactful solutions. Working with practice partners, students tackle real-world challenges, contributing directly to solving these.
The area of focus is the digitalization of mobility - an area where innovation e.g., clean, autonomous systems or seamless public transport can address societal needs and sustainability goals e.g., by reducing environmental impacts or enhancing inclusivity. The course begins with input from lecturers across various disciplines, offering diverse perspectives to build a strong foundation for understanding and innovation. Then, students engage in doing: developing actionable solutions which eventually may be implemented by industry partners.
See more on our course homepage: https://www.digitalinnovathon.uzh.ch/en.html
|
| Lernziel |
Innovation Skills: Learn techniques to ideate, prototype, and refine solutions.
Communication and Presentation Skills: Learn professional pitching, persuasive storytelling, and clear, impactful communication.
Interdisciplinary Collaboration: Experience working with diverse teams, integrating multiple perspectives, and co-creating meaningful outcomes.
Professional Interaction: Build skills in engaging with industry partners.
Interdisciplinary Knowledge: Explore the digitalization of mobility from diverse disciplinary perspectives, including informatics, law, geography, remote sensing, health sciences, or business administration.
This course entails interactive collaboration and real-time teamwork. The activities thrive on the energy of being fully present - working together, exchanging ideas, and creating solutions in a vibrant environment. Thus, full on-site participation in all sessions is essential. We understand that unavoidable circumstances may occasionally prevent full participation. In such cases, participants can request an exception for up to 3 hours of absence, subject to prior approval. |
| Unterrichtssprache |
Englisch |
| Voraussetzungen |
The number of participants is limited.
This is an application module. Please register for the module within the specified deadlines via the UZH module booking tool and include with your application a short description of your personal motivation in a few sentences (max. half a page).
UZH students register via the UZH course catalogue within the specified deadlines.
Non-UZH students who wish to complete the module as mobility students must first observe the application deadlines at UZH (https://www.uzh.ch/en/studies/application/deadlines.html) and, after the successful registration at UZH, book the module through the UZH course catalogue.
The course requires an English level of B1/B2. |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
1-6, in Viertelschritten |
| Repetierbarkeit |
keine Wiederholungsmöglichkeit |
| Angebotsmuster |
1-semestrig (jedes Herbstsemester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-118 Digital Security: What Everyone Should Know
Moduldetails: 10SMSTS-118 Digital Security: What Everyone Should Know
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
3 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
Cybersecurity affects everyone - not just IT professionals. This interdisciplinary introductory course provides fundamental knowledge of the technical, legal, ethical, psychological, and societal aspects of digital security.
Using real-life case studies, scenario-based learning, and escape room elements, students work in interdisciplinary teams to analyze common cybersecurity incidents. The course empowers participants to assess risks, understand different perspectives, and apply practical security measures in everyday digital life. |
| Lernziel |
Students will be able to...
- ... learn and explain fundamental cybersecurity concepts
(Learning Objective 1 - Knowledge)
- ... identify , understand, and apply the technical, social, psychological, legal, and ethical components of cybersecurity
(Learning Objective 2 - Interdisciplinary Collaboration)
- ... assess general societal threat scenarios realistically and weigh potential benefits and draw-backs of cybersecurity measures, including their own behavior
(Learning Objective 3 - Risk Awareness)
- ... develop recommendations and alternative solutions for simple cases
(Learning Objective 4 - Solution Orientation)
- ... accept the residual risk inherent in chosen cybersecurity measures
(Learning Objective 5 - Responsibility and Accountability) |
| Unterrichtssprache |
English |
| Voraussetzungen |
None. |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
bestanden/nicht bestanden |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
1-semestrig (jedes Frühjahrssemester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-200 Interdisciplinary Introduction to Machine Learning - Exercises
Moduldetails: 10SMSTS-200 Interdisciplinary Introduction to Machine Learning - Exercises
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
2 |
| Lehrform |
Übung |
| Allgemeine Beschreibung |
In this module, students have the opportunity to engage in exercises that address real-world problems in various disciplines, providing a hands-on experience with machine learning methodology.
This module is designed in combination with the corresponding module: "Interdisciplinary Introduction to Machine Learning - Theory (10SMSTS-201)" and should only be booked together with it. Students will be assigned exercises (Python programming and/or non-programming exercises) for each lecture of the course 10SMSTS-201. |
| Lernziel |
After passing the module, the students are able to solve programming and non-programming exercises according to the content of 10SMSTS-201. |
| Unterrichtssprache |
English |
| Voraussetzungen |
Introduction to concepts of data analysis, Python programming, and statistics. |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
bestanden/nicht bestanden |
| Repetierbarkeit |
einmal wiederholbar |
| Angebotsmuster |
1-semestrig (jedes Semester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-201 Interdisciplinary Introduction to Machine Learning - Theory
Moduldetails: 10SMSTS-201 Interdisciplinary Introduction to Machine Learning - Theory
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
3 |
| Lehrform |
Vorlesung |
| Allgemeine Beschreibung |
This course on machine learning is designed to provide a comprehensive understanding from a multi-disciplinary perspective. Throughout the course, we will delve into the algorithms and techniques that constitute machine learning, while also considering its applications and limitations across various fields - Medicine, Law, Linguistics, Physical Sciences, and Robotics, to name a few. The aim is to equip students with the knowledge to critically assess the suitability of machine learning solutions for different types of challenges. By the end of this course, students should have a nuanced understanding of machine learning's capabilities and restrictions, informed by examples across multiple sectors. |
| Lernziel |
After passing the module, the students are able to:
- name fundamentals about functionality and limitations of both supervised and unsupervised machine learning algorithms
- list different data types and problem types, such as classification and regression, and match them to the appropriate algorithms
- discuss about the vulnerability of and adversarial attacks on machine learning algorithms
- give an overview about the wide variety of applications of ML across many disciplines as well as discipline-specific challenges
- reflect on machine learning, the promise of artificial intelligence, and big data from a legal, ethical, as well as philosophical perspective |
| Unterrichtssprache |
English |
| Voraussetzungen |
Introduction to concepts of data analysis and statistics. |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
bestanden/nicht bestanden |
| Repetierbarkeit |
einmal wiederholbar |
| Angebotsmuster |
1-semestrig (jedes Semester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-202 Teamwork on Digital Transformation Challenges I
Moduldetails: 10SMSTS-202 Teamwork on Digital Transformation Challenges I
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
3 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
In this module, students work on interdisciplinary projects that address challenges related to digital transformation. Under the guidance of a researcher from the Digital Society Initiative (DSI), students collaborate in interdisciplinary teams of 3-5 members. Each team member takes on defined responsibilities and contributes specific digital skills to the project.
After an initial innovation phase, each team engages in an exchange with experts from the DSI network. Depending on the project's focus, teams receive guidance on appropriate digital methods and approaches, as well as input on ethical, legal, social and other relevant considerations.
In a follow-up module (6 ECTS) in the spring semester, students have the opportunity to further develop and implement their project ideas in practice. |
| Lernziel |
The students ...
- work effectively in interdisciplinary teams on innovative digital transformation challenges.
- understand both traditional disciplinary research and new approaches enabled by digitalization.
- develop a cross-disciplinary understanding of diverse research questions, methods, and perspectives.
- learn to value and integrate different disciplinary approaches.
- evaluate project goals, processes, and results using ethical, legal and social criteria.
- consider additional project-specific aspects, such as reproducibility and data protection.
- apply relevant digital skills in a meaningful and practical way.
- prepare and present project results using digital media.
- present and discuss project concepts in a World-Café format. |
| Unterrichtssprache |
Englisch |
| Voraussetzungen |
For students enrolled in the Minor / LAO "Digital Skills", passing this compulsory course is a prerequisite for enrolling in the compulsory course "Teamwork on Digital Transformation Challenges II" in the following semester. |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
1-6, in Viertelschritten |
| Repetierbarkeit |
einmal wiederholbar |
| Angebotsmuster |
1-semestrig (jedes Herbstsemester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-203 Teamwork on Digital Transformation Challenges II
Moduldetails: 10SMSTS-203 Teamwork on Digital Transformation Challenges II
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
6 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
In this module, interdisciplinary questions on challenges in the field of digital transformation are addressed in various projects.
Under the guidance of a researcher from the Digital Society Initiative (DSI) network, students work in an interdisciplinary team of around 4 people, with each team member taking on defined tasks and also contributing specific digital skills.
The challenges run over two semesters, starting in the fall semester to develop a project concept, followed by this module in the spring semester to realize the projects. It is aimed at Master's students from all disciplines who either continue in the same challenge team or apply for a challenge to bring their specific skills to the team. |
| Lernziel |
The students ...
- are able to work successfully in interdisciplinary groups with innovative approaches on interdisciplinary challenges in the field of digital transformation.
- understand traditional research in individual disciplines and new approaches made possible by digitalization.
- thereby also acquire a cross-disciplinary understanding of different questions, approaches and methods.
- learn to appreciate the different approaches of those involved.
- evaluate their goals, the process and the results of the projects according to ethical, legal and social principles.
- consider specific additional aspects, such as reproducibility and data protection, depending on the project.
- apply digital skills beneficially in the project.
- are able to prepare and present their project results. |
| Unterrichtssprache |
English |
| Voraussetzungen |
keine |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
1-6, in Viertelschritten |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
1-semestrig (jedes Frühjahrssemester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-204 Digital Transformation - a Scientific Overview
Moduldetails: 10SMSTS-204 Digital Transformation - a Scientific Overview
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
3 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
This module provides students with a scientific overview of the digital transformation of our society from a multidisciplinary perspective.
Students receive academic input followed by an interactive session with various DSI professors and learn to engage with and reflect on the challenges, opportunities and consequences of digital transformation.
Sessions are usually structured as follows (exceptions are possible):
15:00 to 15:45: Input lecture by expert
16:15 to 17:00: Group work related to the input lecture |
| Lernziel |
The students ...
- obtain a structured overview of research fields that deal with the digital transformation
- reflect on the digital transformation of our society both in group discussions and on the individual level
- critically consider the social implications of the Digital Society. |
| Unterrichtssprache |
Englisch |
| Voraussetzungen |
None |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
1-6, in Viertelschritten |
| Repetierbarkeit |
einmal wiederholbar |
| Angebotsmuster |
1-semestrig (jedes Herbstsemester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-515 Open Access Basics
Moduldetails: 10SMSTS-515 Open Access Basics
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
1 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
The introductory course "Open Access Basics" introduces students to the field of Open Science with a specific focus on Open Access - the online availability of articles and books. They learn about the newest developments in the publication landscape, how to access materials behind a paywall, explore the characteristics of Open Access and the difference to publications in traditional subscription-based journals. Manuscript versions and legal aspects of publishing (licenses) will also be discussed, as well as the impact that Open Access can have on society. The introductory course is intended for bachelor and master students who have little or no prior knowledge of Open Access. The course takes place as a half-day on-site event with online learning components before and after the event. |
| Lernziel |
After this course, students are able to 1) name different versions of manuscripts, 2) differentiate between Open Access publications (diamond, gold, green) and traditional publications in subscription journals, 3) name various possibilities how and where to publish OA using online research tools such as the DOAJ, 4) access material that is behind a paywall and 5) distinguish between different creative commons licenses |
| Unterrichtssprache |
English |
| Voraussetzungen |
None |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
bestanden/nicht bestanden |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
1-semestrig (jedes Semester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-516 Introduction to Research Data Management
Moduldetails: 10SMSTS-516 Introduction to Research Data Management
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
1 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
This introductory course on research data management (RDM) familiarizes students with important aspects and components of RDM and the data lifecycle. The course will also teach about data repositories, including how to find and cite existing data from such repositories, and about some of the legal aspects of data reuse and sharing, e.g. data licenses. After the end of this course, students are able to plan their own research data management. The introductory course is intended for bachelor students, master students and also PhD students who have little or no prior knowledge of research data management. The course takes place as a half-day on-site event with online learning components before and after the event. The online preparatory tasks need to be completed before the on-site event. |
| Lernziel |
After this course, students are able to
1. recognize and describe important components of the data life cyle and Research Data Management (RDM),
2. name data repositories for their research data,
3. correctly cite existing datasets,
4. recognize, interpret and use correctly licenses for research data, and
5. write down important aspects of their research data management in a data management plan. |
| Unterrichtssprache |
English |
| Voraussetzungen |
None |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
bestanden/nicht bestanden |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
1-semestrig (jedes Semester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-517 Making your data FAIR
Moduldetails: 10SMSTS-517 Making your data FAIR
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
1 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
In the course "Making your data FAIR" students are familiarized with important aspects of FAIR (findable, accessible, interoperable, reusable) data as an essential prerequisite for publishing and sharing their data and for increased reproducibility and replicability of scientific research. They learn how to make their own data FAIR following existing standards (e.g. metadata) and how to assess the FAIRness of existing datasets. The course is intended for interested bachelor students, master students and PhDs who have some prior knowledge in data management and who would like to share their data with the scientific community and to increase its reusability. The course takes place as a half-day on-site event with online learning components before and after the on-site event. |
| Lernziel |
After this course, students are able to
1. assess their own data (or other researchers' data) according to the FAIR principles, highlight deficiencies according to the FAIR principles and improve them,
2. prepare their own data according to existing standards (following the FAIR principles),
e.g. use non-proprietary data formats, use controlled vocabulary, follow metadata standards, and
3. find FAIR-compatible repositories to store and share their data. |
| Unterrichtssprache |
English |
| Voraussetzungen |
None |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
bestanden/nicht bestanden |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
1-semestrig (jedes Frühjahrssemester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-602 Open Source Intelligence (OSINT)
Moduldetails: 10SMSTS-602 Open Source Intelligence (OSINT)
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
3 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
OSINT, short for Open-Source Intelligence, enables you to gather crucial information from a variety of publicly available sources, including social media, news articles, government websites, and much more. The capacity to gather, examine, and validate open‑source information has never been more crucial - particularly as powerful LLMs both amplify the speed of data processing and raise new challenges around disinformation that must be rigorously detected and mitigated. Throughout this course, students will learn how to (a) use OSINT tools and techniques to gather information, (b) apply Operational Security measures to minimize their own digital footprint, (c) adopt best practices to document, assess, and effectively report findings, and (d) recognize and navigate legal and ethical considerations to ensure proper conduct within the permitted scope. |
| Lernziel |
1. Understanding the concept and scope of OSINT;
2. Developing awareness of ethical and legal considerations when using OSINT methods;
3. Understanding the limitations and challenges of OSINT;
4. Using OSINT techniques on a practical project.
|
| Unterrichtssprache |
Englisch |
| Voraussetzungen |
keine |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
bestanden/nicht bestanden |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
1-semestrig (jedes Herbstsemester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-603 Advanced Text Analysis Using Natural Language Processing
Moduldetails: 10SMSTS-603 Advanced Text Analysis Using Natural Language Processing
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
1 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
This online course is designed for beginners who are curious about how to analyze and make sense of large amounts of text data, especially in the field of health research. No previous knowledge in text analysis is required-just an interest in learning new ways to work with data.
In this course, students will explore how to uncover hidden topics in text in data-driven fashion (like finding themes in health articles) using a technique called topic modeling. They will also learn how to create simple tools (called classifiers) that can automatically sort and categorize text into different groups. The course will cover some basic ideas from natural language processing (NLP), which is the engine behind e.g. chatbots and search engines. Throughout the course, students will work with real examples from health research, but are also welcome to bring their own data if they have it. |
| Lernziel |
By the end of the course, participants will have a basic understanding of language models, how they can be leveraged to mine public opinion in the media, and what to consider for the responsible use of language models.
Specifically, participants will:
1. Discuss the potential and risks of using language models for digital health research
2. Evaluate the suitability of different language models for a particular opinion mining task using freely available AI resources
3. Develop competencies for responsible use and critical evaluation of language AI |
| Unterrichtssprache |
English |
| Voraussetzungen |
This course requires students to have basic Python skills, including familiarity with the 'pandas' and 'numpy' libraries for datamanipulation. They will also need to set up and be familiar with Jupyter Notebook (https://jupyter.org/) prior to the course.
Please note that there will be no introductory session on Python. |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
bestanden/nicht bestanden |
| Repetierbarkeit |
einmal wiederholbar |
| Angebotsmuster |
1-semestrig (jedes Frühjahrssemester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-604 ChatGPT and Beyond: Interdisciplinary Approaches to AI Literacy
Moduldetails: 10SMSTS-604 ChatGPT and Beyond: Interdisciplinary Approaches to AI Literacy
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
2 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
This course addresses the rapidly evolving field of generative AI and its applications. Students will learn the essential principles of how generative AI models function and explore the opportunities of various tools and techniques. It also encourages critical discussion of the technology's limitations-legal, technical, and ethical-alongside potential dangers such as bias and information loss. Through examples from different disciplines, students will gain a purposeful understanding of generative AI, emphasizing transparency and responsible use. The course features lecturers from various UZH departments, each providing unique insights and use cases from their fields. By the end of the course, students will have acquired the knowledge and skills to critically and effectively apply AI tools, preparing them to navigate and innovate responsibly in the complex landscape of generative AI. |
| Lernziel |
After the course, students will be able to
1. Understand the fundamental principles of how generative AI tools work.
2. Recognize the possibilities and chances offered by generative AI tools in various contexts.
3. Identify and critically assess the limitations and dangers, including legal, technical, cost, and ethical considerations, of using generative AI.
4. Successfully and responsibly apply generative AI tools in their studies. |
| Unterrichtssprache |
English |
| Voraussetzungen |
The course is not suitable for Bachelor students in their first semester. |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
bestanden/nicht bestanden |
| Repetierbarkeit |
einmal wiederholbar |
| Angebotsmuster |
1-semestrig (jedes Frühjahrssemester) |
| Organisation |
School for Transdisciplinary Studies |
10SMSTS-605 Storytelling for Digital Transformation
Moduldetails: 10SMSTS-605 Storytelling for Digital Transformation
| Modulgruppe |
Further Topics in the Field |
| Modultyp |
Wahl |
| ECTS |
3 |
| Lehrform |
Seminar |
| Allgemeine Beschreibung |
Communicating complex, abstract concepts is a major challenge of the digital era, yet essential for enabling meaningful participation in the digital economy, democracy, and society. Storytelling offers a powerful way to translate complex ideas into relatable, engaging narratives, helping to address the widespread lack of digital literacy. In this course, we will equip students with communication skills to enable others to make informed decisions. Drawing on examples from tech journalism, digital literacy campaigns, and science communication, we show how these fields play a crucial role in enabling the public to critically evaluate the opportunities and risks of emerging technologies such as artificial intelligence, cryptocurrencies, and social media. Using cybersecurity-often perceived as a technical and intimidating field-as a case study, students will learn how to craft their own compelling stories around a digital topic of their choice. |
| Lernziel |
(1) Understanding how complex digital facts can be conveyed by engaging stories; (2) Understanding and applying storytelling in the fields of digital transformation; (3) evaluating the benefits and limitations of storytelling for specific formats or topics, and (4) creating relatable and comprehensible narratives. |
| Unterrichtssprache |
English |
| Voraussetzungen |
None |
| Leistungsnachweis |
Siehe Vorlesungsverzeichnis |
| Notenskala |
bestanden/nicht bestanden |
| Repetierbarkeit |
keine Wiederholungsmöglichkeit |
| Angebotsmuster |
1-semestrig (jedes Frühjahrssemester) |
| Organisation |
School for Transdisciplinary Studies |
06SM248-891 Master Colloquium D
Moduldetails: 06SM248-891 Master Colloquium D
| Modulgruppe |
Final Modules |
| Modultyp |
Wahlpflicht |
| ECTS |
6 |
| Lehrform |
Kolloquium |
| Allgemeine Beschreibung |
The colloquium provides students a stage to develop and present their own research-concepts as well as a platform for constructive and critical discussions of their own concepts and those presented by other participants. The selection of the group is based on the supervising unit. |
| Lernziel |
The master colloquium prepares students for an independent elaboration of the final thesis. It enables them to critical reflect their own work as well as concepts of others. |
| Unterrichtssprache |
Deutsch/Englisch - siehe Sprache der Lehrveranstaltung(en) |
| Voraussetzungen |
Module Group "Research Design and Methods" (or equivalent) successfully completed
This module is open only to Master's students.
It may not be booked by Bachelor's students as a pre-Master's module. |
| Leistungsnachweis |
Portfolio |
| Notenskala |
bestanden/nicht bestanden |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
1-semestrig (jedes Semester) |
| Organisation |
Institut für Kommunikationswissenschaft und Medienforschung |
06SM248-MA Master's Thesis
Moduldetails: 06SM248-MA Master's Thesis
| Modulgruppe |
Final Modules |
| Modultyp |
Pflicht |
| ECTS |
30 |
| Lehrform |
Master Paper / MA-Arbeit |
| Allgemeine Beschreibung |
Students independently develop a theoretical and methodological level-specific final thesis. The timeline is set to a maximum of twelve months (two semesters). The master thesis is supported by a supervising person. |
| Lernziel |
The Master thesis confirms the ability to conduct a level-specific scientific assignment within a given deadline and to adequately present the results. |
| Unterrichtssprache |
Deutsch/Englisch - siehe Sprache der Lehrveranstaltung(en) |
| Voraussetzungen |
Module Group ""Research Design and Methods"" (or equivalent) successfully completed.
This module is open only to Master's students.
It may not be booked by Bachelor's students as a pre-Master's module. |
| Leistungsnachweis |
schriftliche Arbeit |
| Notenskala |
1-6, in Halbschritten |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
2-semestrig (jedes Semester) |
| Organisation |
Institut für Kommunikationswissenschaft und Medienforschung |
06SM254-891 Masterkolloquium
Moduldetails: 06SM254-891 Masterkolloquium
| Modulgruppe |
Final Modules |
| Modultyp |
Wahlpflicht |
| ECTS |
6 |
| Lehrform |
Kolloquium |
| Allgemeine Beschreibung |
Das Kolloquium für Masterarbeiten bietet den Studierenden eine Plattform zur Erarbeitung und Präsentation des eigenen Forschungskonzepts sowie zur kritischen Diskussion der Konzepte anderer. Die Gruppe (Abteilungszuordnung) wird jeweils nach Massgabe der Betreuung ausgewählt. |
| Lernziel |
Das Masterkolloquium bereitet die Studierenden auf die selbständige Erarbeitung der Abschlussarbeit vor und befähigt sie zur kritischen Reflexion der eigenen Arbeit sowie der Konzepte anderer Studierender. |
| Unterrichtssprache |
Deutsch/Englisch - siehe Sprache der Lehrveranstaltung(en) |
| Voraussetzungen |
Modulgruppe Methoden und Forschungslogik erfolgreich absolviert
Dieses Modul steht nur Master-Studierenden offen. Es darf nicht von Bachelor-Studierenden als vorgezogenes Mastermodul gebucht werden. |
| Leistungsnachweis |
Portfolio |
| Notenskala |
bestanden/nicht bestanden |
| Repetierbarkeit |
einmal wiederholbar, erneut buchen |
| Angebotsmuster |
1-semestrig (jedes Semester) |
| Organisation |
Institut für Kommunikationswissenschaft und Medienforschung |
Ende
