Lectures related to Testing and Debugging

Explores programming challenges, debugging techniques, software testing, and security practices in software development.

Covers the essential aspects of software engineering, focusing on understanding the steps of program development and error management.

Explores least squares in linear regression, hypothesis testing, outliers, and model assumptions.

Covers compilation, linking, external libraries, Doxygen documentation, and Google Test for C++ unit testing.

Introduces data-driven modeling with a focus on regression, covering linear regression, risks of inductive reasoning, PCA, and ridge regression.

Delves into regression analysis, emphasizing distributional checks, weighted least squares, and hypothesis testing.

Covers the basics of C++ programming, including writing a 'Hello world' program and understanding the compilation process.