Tutoring for Mathematics of Dynamical / Stochastic Systems
A partir de 67.05 $ /h
The class is intended for advanced students who are enrolled in (pre-)Master courses in one or more of the following topics: Machine Learning,
Stochastic Processes, Markov Chains, Queueing Theory, Stochastic Calculus, Stochastic Differential Equations and Applications, and Risk Management.
Stochastic Processes, Markov Chains, Queueing Theory, Stochastic Calculus, Stochastic Differential Equations and Applications, and Risk Management.
Información adicional
Lessons can be conducted online via Skype or similar videoconferencing platforms, or in-person at the UvA campus "Science Park" in Amsterdam, VU campus, or at my home location within the Amsterdam region.
Lugar
Clase en el domicilio del profesor :
- Science Park, Amsterdam, Netherlands
- Hoofdgebouw, De Boelelaan, Amsterdam, Netherlands
Conectado desde Países Bajos
Acerca de mí
I am a mathematician based in the Netherlands (Amsterdam area), holding a PhD at Vrije Universiteit, with a significant academic experience (both research and teaching).
I also have experience with private tutoring. I can cover a wide range of high level math (related) topics (at BSc and MSc level), as well as assisting Master students in applying mathematical / statistical research methods and tools in their master projects in full compliance with the academic standards.
My primary focus is to help students overcome their math anxiety - which is one of the main reasons for students' lack of self confidence/initiative - and put them "on track" for individual study. For the more advanced students, I am looking to stimulate investigation skills required for a thorough understanding of the study subject.
I also have experience with private tutoring. I can cover a wide range of high level math (related) topics (at BSc and MSc level), as well as assisting Master students in applying mathematical / statistical research methods and tools in their master projects in full compliance with the academic standards.
My primary focus is to help students overcome their math anxiety - which is one of the main reasons for students' lack of self confidence/initiative - and put them "on track" for individual study. For the more advanced students, I am looking to stimulate investigation skills required for a thorough understanding of the study subject.
Formación
- Faculty of Mathematics, University of Bucharest: BSc (2000) and MSc (2002).
- PhD in Stochastics / Operations Research at Vrije Universiteit, Amsterdam (2008)
- PhD in Stochastics / Operations Research at Vrije Universiteit, Amsterdam (2008)
Experiencia / Calificaciones
Postdoctoral research positions at:
- TU/e (2009 - 2011),
- UvA (2014 - 2016),
- CWI (2018 - 2019).
Teaching:
- Lectures on Business Math and Statistics at VU (2006 - 2008) and Probability / Statistics (2010).
- TU/e (2009 - 2011),
- UvA (2014 - 2016),
- CWI (2018 - 2019).
Teaching:
- Lectures on Business Math and Statistics at VU (2006 - 2008) and Probability / Statistics (2010).
Edad
Adultos (18-64 años)
Tercera edad (65+ años)
Nivel del estudiante
Avanzado
Duración
60 minutos
90 minutos
120 minutos
La clase se imparte en
inglés
rumano
Habilidades
Comentarios
Disponibilidad en una semana típica.
(GMT -05:00)
Nueva York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
- I provide guidance/supervision in the use of mathematical/statistical methods such as estimation, regression, testing, statistical analysis, etc. in research projects across fields such as machine learning, psychology, sociology, economics, finance, and risk management. I also assist in presenting/interpreting the results in a scientifically compliant manner.
- Additionally, I offer assistance in implementing computer code relevant to the aforementioned research projects.
This class is well-suited for MSc students who are working on their theses, as well as practitioners engaged in various research studies.
- Additionally, I offer assistance in implementing computer code relevant to the aforementioned research projects.
This class is well-suited for MSc students who are working on their theses, as well as practitioners engaged in various research studies.
I provide assistance with computer science modules that have a strong mathematical component, including predicate logic, cryptography, number theory, algorithm design, discrete and combinatorial optimization, graph theory, linear programming, machine learning, and more.
Lessons include:
- Solving specific types of problems, exercises, and past exams.
- Assisting with homework and assignments.
- Assisting with the preparation of final reports and projects.
Lessons include:
- Solving specific types of problems, exercises, and past exams.
- Assisting with homework and assignments.
- Assisting with the preparation of final reports and projects.
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