POSTECH
- IMEN331 Introduction to Smart Manufacturing
he course deals with various issues involved in designing Products and Production Processes while providing opportunities for students to reflect on modern technology and its prospect.
Students are expected to take initiatives on personal pursuit of knowledge relative to the issues raised during the entire lifecycle of product and production process design and implementation.
In particular, topics covered in the course include: product lifecycle and manufacturing economics, machining and numerical control, automation and control, PLC programming, industrial communication, manufacturing system design & simulation, and some open issues for smart manufacturing. The course contains regular exercises and practical labs, and thus your programming skill and motivation are highly required.
smart manufacturing. The course contains regular exercises and practical labs, and thus your programming skill and motivation are highly required
Lab#1: CAD/CAM
Lab#2: Simulation & Optimization
Lab#3: PLC (Programmable Logic Control)
Lab#4: AI/ML for Process Monitoring & Fault Diagnostics
- IMEN723 Manufacturing Intelligence
To understand the key mathematical techniques in machine intelligence and learn their applicability to practical manufacturing problems.
Topics covered in the course include: Best Approximation, Linear & Logistic Regression, Matrix Decomposition, Diagonalization & Similarity,
Fourier Transformation, Laplace Transformation, Dimensionality Reduction, Gradient Descent Optimization, and Deep Neural Networks
Lab#1: Regression with Stochastic Gradient Descent Optimization
Lab#2: AI Applications in Manufacturing
|