Learning Path

Artificial Intelligence in Process Engineering

Chemical Process Fundamentals → Capstone Project: AI-Driven Process Optimization

12 Knowledge Nodes · 12 Learning Steps · v0 Active

This learning path equips graduate chemical engineering students with the knowledge and skills to apply artificial intelligence, particularly machine learning and neural networks, to optimize chemical processes. It covers essential foundations in process engineering, data science, and AI, then focuses on applications such as fault detection and process control. The path emphasizes practical implementation and critical evaluation of AI methods in chemical engineering contexts.

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12 nodes18 edges1 relationships

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Learning Route

12 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

4 steps