Applications of Artificial Intelligence
The seminar aims at designing and evaluating an AI-based decision support system for a specific topic that can be discussed and freely choosen by the students (or if no appropriate topic is provided by the student, a task will be assigned).
Description:
The students expand their knowledge of AI-based systems by designing, deploying, and evaluating AI-based decision support systems for a specific problem from various focus areas. The focus of the task can vary depending on the base task that is to be supported by the system. Examples include but are not limited to building prediction systems, building explanations for prediction systems (Explainable AI (XAI)), and dealing with a forceful change of system behavior (adversarial machine learning (AML)). At the end of the seminar, the students will …
- … have gained a more comprehensive knowledge of AI-based systems in general.
- … have been confronted with the challenges of AI-based systems.
- … have successfully build a system from scratch.
- … have gained a better understanding of the focus area (e.g., Finance)
- … have gained insides into the specific AI-related problem area (e.g., XAI, AML).
- … improve their problem-solving abilities.
- … improve their analytical skills.
… improve their presentation skills.
General content:
- The project seminar features state-of-the-art topics in the broad area of AI-based systems.
- The focus area can be chosen by the student from a broad range of areas to best suit the student’s specialization. The main fields include but are not limited to Finance, Operations Management, and Economics.
Examples of specific topics:
- Predicting demand in bike-sharing systems
- Using demand prediction to optimize bike allocation in bike sharing
- Literature Reviews on various topics (e.g., ChatGPT and Education, Culture & ChatGPT, ...)
- ...
E-Learning: You are automatically added once you are approved.