Simulations, computer games and machine learning using physics, math, programming - Copenhagen - Private lessons

Simulations, computer games and machine learning using physics, math, programming

From 39.43 € /h

Physics, math and programming are amazing tools for creativity. I see them as hammers and saws; once you've mastered the basics, you can start building your own stuff only limited by your own creativity.

Whether you want to build a computer game in Unity or simulate lava flowing from a volcano etc., I can help you.
If you need some introductory level math or university level physics, I'm there too!
I can even help you build your very first machine learning algorithm, or simply teach you how to program in the first place.

I love to teach and have been doing it for a while! I do computational physics and statistics in bio-complexity (that's stuff like simulating ant farms or bacterial colonies etc.) and I'm currently working on my masters thesis.

Location

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At teacher's location :

Copenhagen, Denmark

Online from Denmark

About Me

I've always thought it was fun to play around with things I want to learn, if it wasn't fun I didn't learn it.
I almost always have a project or a goal I want to accomplish. In music it might be learning to play a song I like, and in programming it might be building a computer game. A common theme is that I need a reason for learning, that way I can't wait to learn more about it.
This is the way I teach. I want my students to think of a goal they want to accomplish, and then I'll teach them what they need to get there. I want them to have fun as they learn new tools to play around with.

This method has been really helpful to me. I play 5 instruments, used to compete nationally in gymnastics and I'm currently finishing my masters in computational physics. All of this has been incredibly fun for me to do, and I hope to share this enthusiasm for learning and applying to all my students!
Oh, and I love to teach. I really love it!

Education

- University of Copenhagen, Masters in Computational physics / Bio-Complexity.
- University of Copenhagen, Bachelor in Physics (pure physics, a general introduction to all the large fields of physics).

Experience / Qualifications

- Solving more math and programming problems than most people do in a lifetime.
- Having fun doing it
- Creating computer games like Minecraft on a planet with 'real' gravity, or a forest that grow and reproduce like a real forest.
- Simulations of our solar system, or of the growth of a Slime Mold (my bachelors project)!
- Predicting stock prices using machine learning.
- A tutor for gymnasium level math and physics.

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

30 minutes

45 minutes

60 minutes

90 minutes

120 minutes

The class is taught in

English

Danish

Skills

Computer programming

Availability of a typical week

(GMT -05:00)

New York

At teacher's location and via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

MsC in Engineering with top marks and research assistant of Econometrics for Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl

Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution 3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment 4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest

I have professional experience in C and Python language.
Due to my scientific background (bachelor in mathematics and maters degree in quantum physics), I have a rigorous and logical approach of programming. I have also taught java language.

Hi there,

I'm Ahmed, a Frontend Developer with 8 years of experience. I specialize in helping others learn Frontend Development from the ground up.

What I can teach you:

HTML/HTML5
CSS/CSS3 (including Bootstrap, Tailwind)
JavaScript and jQuery
SCSS/SASS
React, TypeScript, Mobx, Next.js
Vue, Vuex, Nuxt.js
Git/GitHub
Testing JavaScript applications (Cypress, Jest, React Testing Library)
WordPress Development (themes/plugins)

If you have any questions, feel free to reach out!

I am a Communication Systems student at EPFL (École Polytechnique Fédérale de Lausanne) and have worked as a student teaching assistant in several courses (Analysis, Algebra, Computer Science, etc.). This experience allowed me to develop strong teaching skills, explain complex concepts clearly, and adapt my methods to different learning styles.

In this course, I offer:
• Clear explanations adapted to your level.
• Practical exercises, homework help, and exam preparation.
• Personalized support to strengthen your foundations or explore advanced topics.

I am passionate about teaching, patient, and dedicated to helping students succeed. My goal is to give you confidence, keep you motivated, and help you achieve your academic goals. I am also available to answer your questions outside of lesson hours.

MsC in Engineering with top marks and research assistant of Econometrics for Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl

Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution 3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment 4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest

I have professional experience in C and Python language.
Due to my scientific background (bachelor in mathematics and maters degree in quantum physics), I have a rigorous and logical approach of programming. I have also taught java language.

Hi there,

I'm Ahmed, a Frontend Developer with 8 years of experience. I specialize in helping others learn Frontend Development from the ground up.

What I can teach you:

HTML/HTML5
CSS/CSS3 (including Bootstrap, Tailwind)
JavaScript and jQuery
SCSS/SASS
React, TypeScript, Mobx, Next.js
Vue, Vuex, Nuxt.js
Git/GitHub
Testing JavaScript applications (Cypress, Jest, React Testing Library)
WordPress Development (themes/plugins)

If you have any questions, feel free to reach out!

I am a Communication Systems student at EPFL (École Polytechnique Fédérale de Lausanne) and have worked as a student teaching assistant in several courses (Analysis, Algebra, Computer Science, etc.). This experience allowed me to develop strong teaching skills, explain complex concepts clearly, and adapt my methods to different learning styles.

In this course, I offer:
• Clear explanations adapted to your level.
• Practical exercises, homework help, and exam preparation.
• Personalized support to strengthen your foundations or explore advanced topics.

I am passionate about teaching, patient, and dedicated to helping students succeed. My goal is to give you confidence, keep you motivated, and help you achieve your academic goals. I am also available to answer your questions outside of lesson hours.

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