AI Testing

What it is about

You learn how to test software whose logic and decisions rely heavily on artificial intelligence. At the end you can design test strategies for data-driven, AI-based systems, select appropriate test methods, and critically evaluate test results.

What you will be able to do

• Analysis of AI-based software systems
• Adaptation of classical testing concepts to AI systems
• Design of test cases and test data for data-intensive applications
• Evaluation of performance and quality metrics
• Assessment of non-functional properties (e.g. bias, fairness)
• Scientific engagement and written presentation of topics

What the module consists of

• VorlesungConveying the fundamental principles and techniques with theoretical and practical examples
• Self-study/AssignmentsDeepening and applying the concepts through accompanying individual tasks
• Presentation/Written workDevelopment of the written representation of the topics covered

Teaching method

• Presentation with slidesIntroduction to principles and techniques; illustration through examples
• Practice tasks for self-studyPractising and applying the taught methods
• Whiteboard explanationsAdditional visualization and explanation of concepts