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Since February 2021
Instructor since February 2021
Intro to Programming and Computational Thinking with Python
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From 48 € /h
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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.
Extra information
Class requirements: own computer with a browser and an internet connection.
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.

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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.
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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.
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