Lectures related to Software Development: Debugging, Testing, and Code Management

Software Development: Debugging, Testing, and Code Management

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

Software Testing: Avoiding and Fixing Bugs

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

File Handling in C: Basics and Common Issues

Covers the basics of file handling in C, common issues, and standard functions.

Project Management: Portfolio Management

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

Software Engineering: Best Practices

Covers tools and best practices for software writing, debugging, testing, and managing code.

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.

Programming Bugs: Understanding, Fixing, and Preventing

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

Software Quality: Managing Defects and Testing Strategies

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

Concept Selection and Tradespace Exploration

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

Debugging

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

Software Engineering Fundamentals

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

Digital Project Creation: Conclusion

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

Testing Strategies: Code Coverage and Quality

Covers testing strategies, emphasizing code coverage and quality in software development through various testing methodologies and practical examples.

Smart Contract Implementation: Coin

Covers the implementation of a smart contract for a simple coin and discusses financial blockchain applications.

Testing your synapse model in a neuron

Explores testing a synapse model in a neuron using NEURON software.

Machine learning: Basics of data-driven materials modeling

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

Overfitting: Symptoms and Characteristics

Explores overfitting in polynomial regression, emphasizing the importance of generalization in machine learning and statistics.

Automated Testing: Fuzzing and Sanitization

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

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

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

Testing Actor Systems

Explores testing actor systems, covering principles, Akka's Test Kit, dependencies, interaction with the parent, and actor hierarchies.