| Dozent/in |
Prof. Dr. Leif Brandes |
| Veranstaltungsart |
Seminar |
| Code |
HS251013 |
| Semester |
Herbstsemester 2025 |
| Durchführender Fachbereich |
Wirtschaftswissenschaften |
| Studienstufe |
Bachelor |
| Termin/e |
Mo, 01.09.2025, 09:15 - 17:00 Uhr, 4.B51
Di, 02.09.2025, 09:15 - 17:00 Uhr, 4.B51
Mi, 03.09.2025, 09:15 - 17:00 Uhr, 4.B51
Do, 04.09.2025, 12:15 - 14:00 Uhr, 4.B51 |
| Umfang |
Blockveranstaltung |
| Turnus |
Block Seminar |
| Inhalt |
Artificial Intelligence (AI) is seeing substantial application in businesses across the world. However, not all businesses see the expected returns on investment from their projects. A key question is thus how to use AI for business value creation (and capturing). In this course, we will discuss different ways to think about AI for business and will identify key opportunities and considerations for businesses when adopting AI. For example, we will discuss the potential of AI technology to overcome traditional growth barriers. Numerous examples and selected case studies from different industry contexts (e.g., finance, insurance, fashion, talent recruitment, transportation) will be used to illustrate the transformational power of AI for business. A more detailed overview of topics covered will be provided in the first session. Note: This course does not require active programming! |
| Lernziele |
Upon successful completion of this course, students will have achieved the following learning outcomes:
1. Students understand key drivers behind the recent AI boom.
2. Students can evaluate AI tools from a business (vs technology) perspective.
3. Students can identify appropriate use cases for automation with AI.
4. Students understand how and why AI technology changes traditional industry boundaries.
5. Students understand the power of AI to overcome traditional growth barriers.
6. Students are familiar with AI applications in marketing.
7. Students understand different approaches and key challenges when designing employee-machine workflows.
8. Students can select appropriate KPIs for AI projects. |
| Voraussetzungen |
BA students from their 5. Semester (the course covers a broad range of business aspects with regards to AI, and thus, a good understanding of topics in strategy, marketing, and HRM is required.). In particular, students need to have completed the following courses “Introduction to Business Administration”, “Marketing Management”, and “Human Resource Management”. No programming skills are required! |
| Sprache |
Englisch |
| Begrenzung |
Min. 4 participants, max. 30 participants |
| Anmeldung |
To attend the course / exercise, registration via e-learning platform OLAT is required. Registration is possible from 25 – 31 August 2025. The students themselves are responsible for checking the creditability of the course to their course of study.
Direct link to OLAT course: to follow
|
| Prüfung |
Students will be assessed based on their presentations (70% of the final mark), and their in-class participation in discussions (30%).
***IMPORTANT*** In order to acquire credits, resp. to take part in the examination, registration via the UniPortal within 25 – 31 August 2025 is REQUIRED. Further information on registration for the examination: www.unilu.ch/wf/pruefungen |
| Abschlussform / Credits |
Individual/Group presentation (60%), In-class participation (40%) / 4.5 Credits
|
| Hörer-/innen |
Nein |
| Kontakt |
leif.brandes@unilu.ch
|
| Anzahl Anmeldungen |
0 von maximal 30 |
| Literatur |
This course will draw on a broad range of practitioner-oriented articles (e.g., from Harvard Business Review and Sloan Management Review) and research articles. Required articles will be uploaded on OLAT in advance.
In addition, the course will include several case discussion sessions – students have to purchase the required case study material from the Harvard Publishing website (the link will be provided via email in advance).
|