Solver-Aided Programming for All

Related lectures (31)

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Covers testing, TDD, coverage, debugging, naming conventions, comments, and solutions for coding issues.

Emphasizes the value of trial and error, debugging, and clear coding practices in programming.

Explores programming and debugging microcontrollers using Code Composer Studio.

Covers debugging techniques in Python and computational methods like frequency power calculation and bird sound detection.

Introduces formal verification, emphasizing rigorous proof of system correctness and the use of mathematical models.

Introduces loops, functions, and debugging in Python programming, covering basic concepts and practical examples.

Covers the use of Stainless, a verification tool for Scala, to ensure the correctness of Scala code.

Covers error handling in C++, including syntax, implementation, algorithm, and design errors, as well as the use of debuggers and exceptions.

Explores program development, debugging, testing, and code management best practices, emphasizing correctness, documentation, and efficiency.

Emphasizes the critical role of software testing in preventing and resolving bugs during development.