From Data to Decisions: Leveraging AI and Emerging Technologies (WiSe 2026/27)
Im kommenden Wintersemester 2026/27 bietet die Professur für AI & Decision Intelligence die folgende Veranstaltung an:
Vorlesung zu „From Data to Decisions: Leveraging AI and Emerging Technologies" Hon.-Prof. Dr. Frauke Schleer-van Gellecom.
(ehem. Business Analytics & Business Forecasting from a practical perspective)
Die Vorlesung richtet sich an Studierende im Bachelor Studiengang.
Qualifikationsziele:
· Gain foundational knowledge of AI, including GenAI, LLMs, machine learning and analytics concepts and how they transform decision-making processes across industries and functions
· Acquire hands-on experience working with Large Language Models (LLMs) by engaging in practical sessions focused on using relevant tools
· Learn to apply these models in real-world and business relevant scenarios, assess their strengths and limitations, and understand best practices for leveraging their potential while recognizing their shortcomings
· Deepen understanding of data-driven forecasting and prediction models
· Get to know to the strategic role of data as an asset and its importance for data-driven decision-making, especially leveraging AI and emerging technologies.
· Understand how to practically implement AI and analytics use cases, covering business processes, operating models, and project management approaches tailored to AI and emerging technologies
· Recognize the importance of responsible AI practices, as well as the role of experiments
Inhalte:
· Introduction to AI, GenAI, LLMs, and Machine Learning: Overview on foundational concepts and frameworks of Artificial Intelligence, Generative AI, Large Language Models (LLMs), and machine learning.
· Implementation in Business: Operating models for AI and data analytics, including structures for analytics hubs and centers of excellence, project management approaches (agile, hybrid, traditional) tailored to AI and data-driven initiatives.
· Company Impulses: Guest lectures led by industry professionals
· Hands-on Practical Sessions: Interactive session using LLM tools and platforms, real-world case studies to deepen understanding of model application, strengths, and limitations.
· Data as a Strategic Asset: Data value chain, data ecosystems, and the infrastructure necessary for effective analytics and AI deployment.
· Business Forecasting: Purpose and practical applications of business forecasting
Das Unterrichtsmaterial ist weitestgehend auf Englisch (Folien auf englisch), die Vorlesung wird in englisch gehalten. Die Vorlesung beginnt am Dienstag., 13.10.2026 um 08:15 Uhr,
(Ort: Licher Straße 68, Raum 24b) und wird in Präsenz stattfinden.
Bitte beachten Sie dazu die aktuellen Hinweise in Studip!
Lehrende: Hon.-Prof. Dr. Frauke Schleer-van Gellecom
Kontakt: Frauke.Schleer@wirtschaft.uni-giessen.de