>>>>>>>>>>>>>>>>>>>>>>>>>>> IMPORTANT INFORMATION <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<
The goal of this computational course is to prepare our MSIPP scholars for their summer research internships at national labs and universities. The topics included:
- Review of Computational Sciences 101:
- Operating environment of the common high performance computing system:
- Computer modeling and simulation specimens preparation: structure modeling
- Common modeling and simulation apparatus: MD, DFT, MC, FEM, etc.
- Introduction to Physical Based Simulation
- Introduction to COMSOL
- Introduction to Additive Manufacture Simulations.
- Unity simulation environment
- Introduction to Data Sciences
- Collect data: data mining and data integration
- Analyze data: OLAP and OLTP
- Report data: R, python, etc.
- Introduction to Machine Learning
- Data model:
- Machine learning methods: Regression, Classification, Clustering, Decision Tree, SVM, Neural Network, etc.
-
Review of Computational Sciences 101
Review of "Introduction to computer simulation and modeling for energy sciences [ series I]"
-
Introduction to Physical Based Simulation
-
Introduction to Data Sciences
-
Introduction to Machine Learning
Instructors
Related Courses
