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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since February 2021
Instructor since February 2021
Intro to Robotics (Control, Dynamics, Perception, Reasoning)
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From 54 € /h
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Want to learn about the world of robots? Humanoids, rovers, drones, you name it! How do they see, feel, act and think? We can dive into their world in an easy to understand, but hands-on way using simulators!

Do you also have a school/university subject related to this that you have difficulties grasping? You know nothing about robots or just watched a movie and you find them cool? Then let's talk!

We can have a lesson, Q&A, assessment where we decide together how we can feed your curiosity.
Extra information
Requirements: own computer
Location
location type icon
Online from Belgium
About Me
I enjoy teaching people and I take it as a personal challenge to find the most simple, visual and real-life analogies to explain abstract concepts. I approach classes as a training partner rather than an authoritarian all-knowing figure. :D
Education
- Bachelor's in Automatic Control and Applied Informatics;
- Master's in Systems and Control;
- Black Belt (1 Dan) Kaisendo, 4 Kyu Judo, 1-stripe White Belt BJJ;
- Master's in Robotics and Artificial Intelligence.
Experience / Qualifications
I have industry experience as Computer Vision and Artificial Intelligence Engineer using Python and C++. My teaching experience is rather informal:
- I designed and supervised industry internships;
- I held computer science tutorials during weekends for my fellow students that struggled with university level programming;
- I had 1:1 classes with secondary school children that wanted to learn competitive programming;
- I held martial arts classes for teenagers.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Duration
60 minutes
The class is taught in
English
Romanian
Reviews
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Artificial Intelligence is the branch of computer science that studies the autonomy of software systems by enabling adaptive behavior without direct programming.

A.I. is popular nowadays due to the recent outstanding progress of Large Language Models (chatbots like ChatGPT), but that is only the tip of the field.

Let’s dive together and explore the base of the iceberg that is A.I.: machine learning, deep learning, computer vision, natural language processing, search and optimization.

Focus on hands-on and intuitive practical application guaranteed regardless of age or background!
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Want to learn how to tell the computer to solve scientific problems, homeworks, create a basic AI (artificial intelligence), simplify your life by quickly processing thousands of files (text, web, Excel etc.), cook belgian fries, create your own game, prepare for a potential IT career or simply learn a different way of logical thinking ("algorithmic")? Then we are on the same page!

This class does not have a predefined goal. You set the goal. Don't know it yet? No problem, I'm here to help. :) We can arrange a lesson, goal-setting, Q&A virtual meeting.

The programming language of choice for this class is Python.
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Hi!

Welcome to my class on Python programming! As a PhD student in Geophysics my main tool is my computer. In order to do science one needs to know how to program. I use Python everyday in order to analyze data, run numerical models, plot results and much more. So, let's embark on the journey of learning Python and explore its diverse capabilities together!

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I have designed it for absolute beginners to become at ease with the language within 5 sessions of 1h. Message me to know the 5 classes curriculum and I will be more than happy to share it with you!

For intermediate users:
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I teach in Bern and successfully completed the MAS program in Statistical Data Science at the University of Bern, focusing on statistics, mathematics, and data science. For several years, I have been passionately teaching, both in academic contexts and for professionals who want to think and work more data-driven.

In parallel to my teaching, I have implemented numerous data science projects – from exploratory analysis and data modeling to decision support in a business context. This combination of theory and practice makes my teaching particularly close to reality while remaining accessible.

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One-to-one lessons with a focus on data comprehension, statistics & analytical thinking
Support with projects, assignments, exams or getting started in the data world
Practical explanations – step by step and adapted to your everyday life
Teaching modern methods for data analysis, modeling & interpretation
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Because I work at the interface between science and practice. I know how quickly you can get lost in formulas and tools—and I'll help you see the common thread:
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• Input and output
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• For and while loops
• Working with 1D and 2D lists
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• Theory with concrete code examples
• Explanation of the underlying logic
• Exercises for independent practice
The goal is not just to learn what to type, but to understand why the code works and how to arrive at a solution yourself.
Who is this suitable for?
• Absolute beginners
• Students taking Python at school
• People who want to start programming
• Anyone looking for structured guidance
What can you expect?
• Personal guidance
• Explanation at your own pace
• Practical assignments
• Focus on understanding instead of speed
Not a fixed, standard course, but targeted guidance tailored to your learning process.
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This course provides a comprehensive and professionally structured introduction to computer networking and data communications. It is designed for students who aim to build a strong technical foundation aligned with industry standards such as the Cisco Certified Network Associate (CCNA).

Course Topics Include:

Network architecture and reference models (OSI and TCP/IP)

IPv4 addressing, subnetting, CIDR, and basic IPv6 concepts

Switching fundamentals (MAC address tables, VLANs, trunking)

Routing principles and static routing configuration

TCP and UDP protocols, ports, and socket communication

Core network protocols (ARP, ICMP, DNS, DHCP, HTTP/HTTPS, FTP)

Network infrastructure devices (routers, switches, firewalls, wireless access points)

Introduction to network security fundamentals

Basic network troubleshooting methodologies and CLI analysis

The teaching methodology combines structured theoretical explanation with practical examples to ensure students understand how real-world networks operate in enterprise and campus environments. Packet flow analysis and scenario-based exercises help bridge theory with practical implementation.

Target Audience:

High school and university students in Computer Science, Information Technology, or Engineering

Beginners preparing for CCNA certification

Individuals seeking a strong networking foundation before advancing to cybersecurity, cloud computing, or advanced infrastructure studies

By the end of the course, students will confidently understand how data travels across networks, how routing and switching function, and how modern network infrastructures are designed, implemented, and managed.
Good-fit Instructor Guarantee
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