Artificial Intelligence in Chemical Engineering

Course objective

To provide students with a thorough understanding of data visualization, data quality, and key machine learning techniques, including classification, regression, and clustering, with hands-on experience with machine learning packages and hyperparameter tuning solidified through a collaborative group project.

Syllabus at a glance

1. 1Fundamentals of AI and Applications
2. 2Python Basics and Data Handling
3. 3Data Visualization and Scientific Computing
4. 4Data Engineering
5. 5Introduction to Machine Learning
6. 6Introduction to Neural Networks