This collaborative guide offers an overview of artificial intelligence, including its history, key concepts, and terminology, with a focus on generative AI, its ethical considerations, and its applications in academics.
ENGINEERING AND COMPUTER SCIENCE INTEGRATION OF AI
AI-Assisted Coding
Engineers and computer science students are integrating AI-assisted coding tools like ChatGPT and other AI models to streamline development, enhance productivity, and optimize problem-solving in various ways.
How AI is Used in Coding Languages
AI supports coding in multiple programming languages, including Python, JavaScript, Java, C++, and SQL, by assisting with:
Code Generation – AI models like GitHub Copilot and ChatGPT suggest and generate functional code based on prompts.
Debugging & Error Correction – AI detects syntax errors, suggests fixes, and optimizes performance.
Automated Documentation – AI-generated comments help explain code logic and improve readability.
Algorithm Optimization – AI refines algorithms for better efficiency and scalability.
CHATGPT IN ENGINEERING AND COMPUTER SCIENCE CODING
Students use ChatGPT and AI tools for:
Software Development – AI speeds up coding tasks in app development, automation, and web programming.
Machine Learning & AI Research – AI assists with training models and processing complex datasets in data science.
Cybersecurity & Ethical Hacking – AI helps in threat detection and security analysis.
Embedded Systems & Robotics – AI aids in coding intelligent IoT devices, robotics, and automation systems.
