ChE 197/297: Intro to AI/ML for Chemical Engineers
Graduate and Undergraduate course, Department of Chemical Engineering, University of the Philippines, Diliman
COURSE DESCRIPTION
Mathematical details, code implementations, and chemical engineering applications of basic machine learning and artificial intelligence methods.
COURSE CREDIT
3 units (3 hr/week)
COURSE OBJECTIVES
After completing this course, the students should be able to:
- Identify problem types in chemical engineering solvable using machine learning and artificial intelligence techniques.
- Solve predictive problems in chemical engineering using machine learning.
- Analyze chemical engineering data sets in both unsupervised and supervised learning settings.
- (for ChE 297) Assess the effectiveness of current research works that apply machine learning in chemical engineering problems.
COURSE MATERIALS
Please visit this github repo.
PUBLICATION
This course is featured in the following publication: Pilario, K.E. (2024). Teaching classical machine learning as a graduate-level course in chemical engineering: An algorithmic approach. Digital Chemical Engineering, Vol. 11, 100163, in Emerging Stars in Digital Chemical Engineering II. DOI: 10.1016/j.dche.2024.100163