Lectures related to Model-based testing

Explores software correctness through testing, verification, property-based fuzzing, and dynamic information flow control.

Covers property testing against uniform distributions using the plug-in approach.

Explores property-based testing using QuickChick, focusing on software correctness, specifications, and dynamic information flow control.

Explores managing defects, testing strategies, and challenges in software quality, with real-world examples and case studies.

Covers test statistics, threshold values, and lower bounds for estimating properties.

Covers the basics of machine learning, challenges in deployment, adversarial attacks, and privacy concerns.

Covers the fundamentals of traffic flow modeling, including model classification and testing techniques.

Covers the management of doctoral theses, including candidate evaluation and thesis submission.

Covers property testing for uniform distributions and the importance of reliable predictions.

Delves into the engineering challenges of creating a floating monolith for Expo02.

Explores physical and numerical modeling in river hydraulics, emphasizing hydraulic constructions and the law of similarity.

Explores advanced software testing techniques, including property-based testing, to ensure code correctness and improve software quality.

Covers the concept of property testing using statistical methods.

Explores advanced software testing techniques, including property-based testing and various forms of fuzzing, to effectively test complex systems.

Covers clustering and classification, building models to assign objects to classes based on attribute values.

Explores simulating network behavior, testing strategies, analyzing stable states, and studying network regimes.

Discusses project types, expectations, outcomes, deadlines, and practical advice for students.

Delves into the potential and ethical challenges of AI technologies, emphasizing responsible research and diverse datasets.

Covers mini-test guidelines and the concept of moment of inertia for various shapes, including practical demonstrations on gyroscopic forces.

Covers distribution estimation, property testing, and multi-arm bandits in data science.