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Related lectures (29)
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Automated Testing: Fuzzing and Sanitization
Explores fuzzing, bug oracles, code reviews, and automated testing techniques, emphasizing the importance of sanitization in detecting faults.
Training and Testing Games
Emphasizes the importance of separating training and testing data for machine learning models.
Software Engineering: Best Practices
Covers tools and best practices for software writing, debugging, testing, and managing code.
Traffic flow modeling: Developing and testing traffic models
Covers the fundamentals of traffic flow modeling, including model classification and testing techniques.
Object-Oriented Programming: Tic-Tac-Toe Case Study
Explores encapsulation and abstraction in object-oriented programming through a Tic-Tac-Toe case study, highlighting the benefits of data encapsulation and controlled access.
Predicate Logic: Basics and Applications
Covers the basics and applications of predicate logic, including quantifiers, predicates, and propositional functions.
Internship Insights: Enhancing Code Generation with LLMs
Details an internship project focused on improving code generation accuracy using large language models and a new framework called EPIGEN.
Software Engineering: Development Steps and Error Management
Covers the essential aspects of software engineering, focusing on understanding the steps of program development and error management.
Deep Learning: Designing Neural Network Models
Covers the design and optimization of neural network models in deep learning.