This course is designed to cover left-over but necessary Data Science techniques that are not covered in standard courses. Topics below is not a complete list, and will be extended as the term proceeds.

• Computational theory in functional approximation
• Simulation in Economics and Finance
• Limited Dependent Variable model in Missing data handling
• Spatial data analysis