Teaching Bayesian Modeling of Complexity course in master of data science for public policy:
- Fundamentals of Bayesian modeling:
+ Modeling and inference of Bayesian networks
+ Markov Chain Monte Carlo algorithms
+ Hierarchical modeling
+ Model checks and sensitivity analysis
- Bayesian analysis of agent-based modelsTeaching Data Structures & Algorithms course:
- Fundamental data structures in Computer SciencePh.D. thesis (title on request) grade: Magna Cum Laude:
I have been focused on Python and OOP in the past 6 years. From 2010 until 2018, I was mostly focused on Matlab. Furthermore, I have completed the course "Microsoft Azure Machine Learning for Data Scientists" on Coursera. Finally, I have been occasionally working with Linux and C++ (reading and understanding codes) in past 8 years.
Teaching Bayesian Modeling of Complexity course in master of data science for public policy:
- Fundamentals of Bayesian modeling:
+ Modeling and inference of Bayesian networks
+ Markov Chain Monte Carlo algorithms
+ Hierarchical modeling
+ Model checks and sensitivity analysis
- Bayesian analysis of agent-based modelsTeaching Data Structures & Algorithms course:
- Fundamental data structures in Computer SciencePh.D. thesis (title on request) grade: Magna Cum Laude:
I have been focused on Python and OOP in the past 6 years. From 2010 until 2018, I was mostly focused on Matlab. Furthermore, I have completed the course "Microsoft Azure Machine Learning for Data Scientists" on Coursera. Finally, I have been occasionally working with Linux and C++ (reading and understanding codes) in past 8 years.