Description
This course provides a comprehensive introduction to machine learning (ML) and data-driven methods, with an introduction to neural networks and artificial intelligence (AI), in the context of chemical and petroleum engineering. Students learn how these computational tools support process modeling, optimization, control, safety, materials discovery, and sustainability. The course develops problem-solving skills, programming proficiency, and data analysis capabilities, enabling students to apply ML-driven solutions to real-world challenges in chemical and petroleum engineering. Pre-requisite: PTE212 Programming for Petroleum Engineering, GNE 331 Probability and Statistics Fourth year standing Co-requisite: PTE406 AI in Petroleum Engineering – Lab.
Common questions about PTE 405
What is PTE 405 at LAU?
PTE 405 AI in Petroleum Engineering is a 2-credit course at Lebanese American University (LAU), in the Petroleum Engineering department. This course provides a comprehensive introduction to machine learning (ML) and data-driven methods, with an introduction to neural networks and artificial intelligence (AI), in the context of chemical and petroleum engineering.
How many credits is PTE 405?
PTE 405 AI in Petroleum Engineering is worth 2 credits at LAU.