Quantitative research methods and tools in studies and dissertations.

Àpd 81.55 $ /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.

Informations supplémentaires

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.

Lieu

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Cours chez le professeur :

Science Park, Amsterdam, Netherlands

Duivendrecht, Netherlands

En ligne depuis Pays-Bas

Présentation

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.

Education

- Faculty of Mathematics, University of Bucharest: BSc (2000) and MSc (2002).
- PhD in Stochastics / Operations Research at Vrije Universiteit, Amsterdam (2008)

Expérience / Qualifications

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).

Age

Adultes (18-64 ans)

Seniors (65+ ans)

Niveau du Cours

Avancé

Durée

60 minutes

90 minutes

120 minutes

Enseigné en

anglais

roumain

Compétences

Maths

Statistiques

Commentaires

Disponibilité semaine type

(GMT -05:00)

New York

Cours chez le professeur et par webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Mathematical foundations of theoretical computer science and algorithm design

67.16 $ /h

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.

Tutoring for Standard Mathematics Exams (UG level).

52.77 $ /h

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.