Finite Element Modeling and Machine Learning
From Department of Theoretical and Applied Mechanics
The course consists of two parts. The first part is devoted to FEM and the second one is devoted to machine learning. Finite Element Modeling: The course provides students with practical skills in applying finite element methods and numerical calculations to solve real-life problems. Machine learning: The course introduces students to the fundamentals of machine learning theory, including discriminant, cluster and regression analysis and provides them with practical skills of solving data mining problems.
back to International MSc program "Mechanics and Mathematical Modeling"