Software Testing: Avoiding and Fixing Bugs

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Page 3 of 3

Introduces the fundamentals of software engineering, covering instruction processing, algorithms, programming languages, abstractions, testing, security, and open source.

Project Management: Portfolio Management

Focuses on project planning, execution, and key user involvement for effective project management.

Machine learning: Basics of data-driven materials modeling

Covers dimensionality reduction and linear regression in data-driven materials modeling.

Digital Project Creation: Conclusion

Covers the process of creating a digital project and concludes with tips for guiding children in project creation.

GoogleTest, Pytest, Git Submodule/Subtree, Python os.path

Covers Google Test, Pytest, Git submodule/subtree, and Python file manipulation.

Concept Selection and Tradespace Exploration

Explores concept selection, Pugh Matrix method, preliminary design reviews, system integration, and verification in systems engineering.

Memory Operations: Data Alignment and Endianness

Covers memory operations, endianness, low power mode, debugging, and interface with circuits.

Automated Testing: Fuzzing and Sanitization

Explores fuzzing, bug oracles, code reviews, and automated testing techniques, emphasizing the importance of sanitization in detecting faults.

External Libraries and Doxygen

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