Profesor fiable
Este profe tiene una tasa de respuesta rápida muy elevada, ofreciendo así un servicio de buena calidad y fiabilidad a sus estudiantes.
Desde mayo 2021
Profesor desde mayo 2021
Quantitative research methods and tools in studies and dissertations.
A partir de 81.42 $ /h
- 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.
Información adicional
Lessons can be conducted either online via Skype or similar videoconferencing platforms or in person at the UvA campus in Amsterdam or at my home location within the Amsterdam region.
Lugar
Clase en el domicilio del profesor :
- Science Park, Amsterdam, Netherlands
- Duivendrecht, 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
En el domicilio del profesor y online
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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.
The class is intended for university students in their early years who are preparing for their math exams.
It covers a wide range of topics such as: calculus, analysis, (linear, vector, matrix) algebra, geometry, trigonometry, (basic) statistics, probability, combinatorics, business mathematics, as well as more abstract topics, such as topology, measure/integration theory and functional analysis.
Depending on the student's requirements, lessons may consist of:
- Providing a (comprehensive) overview of the course material, e.g. slides, lecture notes, etc.
- Solving specific (types of) problems, exercises, and (old) exams.
- Assisting with homework and assignments.
- Setting up final reports and projects.
It covers a wide range of topics such as: calculus, analysis, (linear, vector, matrix) algebra, geometry, trigonometry, (basic) statistics, probability, combinatorics, business mathematics, as well as more abstract topics, such as topology, measure/integration theory and functional analysis.
Depending on the student's requirements, lessons may consist of:
- Providing a (comprehensive) overview of the course material, e.g. slides, lecture notes, etc.
- Solving specific (types of) problems, exercises, and (old) exams.
- Assisting with homework and assignments.
- Setting up final reports and projects.
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