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Since July 2025
Instructor since July 2025
Programming Fundamentals for University (Python / C++)
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From 113.62 C$ /h
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Programming concepts often feel abstract until you put them to work on real problems.
In these classes we dive straight into code writing, testing, and debugging together, so that every new idea is anchored by hands-on practice.

Whether you are learning your very first loops, optimising algorithms for a university assignment, or polishing thesis code, we will adapt the pace and depth to your current level.
Extra information
Please have a laptop with you, as we will solve many exercises directly on your PC.
Location
location type icon
Online from Hungary
About Me
I’m a patient, detail-oriented tutor in computer science and mathematics who believes that real understanding comes from clear explanations and practice that mirrors your coursework.

I enjoy working with motivated university students and adult learners who want straight answers, constructive feedback, and a calm, supportive atmosphere.

My aim is that you leave each lesson not just with a solution, but with a way of thinking you can reuse on exams, assignments, and thesis work.
Education
BSc in Computer Science from Eötvös Loránd University (ELTE), Faculty of Informatics, with a modelling specialization.
I am starting my MSc in Quantitative Finance this September!
Experience / Qualifications
I have over five years of one-to-one tutoring experience with university students across nine countries, helping them pass exams, complete demanding modules, and finish thesis-related code.
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Availability of a typical week
(GMT -05:00)
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
Math concepts often feel abstract until you put them to work on real problems.
In these classes we dive straight into problem solving and will practice together, so that every new idea is anchored by hands-on practice.

Whether you are learning your very first derivates or statistical models for a university assignment, we will adapt the pace and depth to your current level.
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Play the game of 'training' an AI with simple and fun examples (basic Machine Learning).

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1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

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Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

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Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

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"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

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Copyright: Who owns an image created by AI?

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• Practical assignments
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I am a PhD Candidate in Informatics and I offer private lessons in Informatics to High School students (Pancyprian Exams) as well as to University students, with an emphasis on correct understanding and methodical thinking.

Pancyprian Exams – Informatics

Systematic preparation with an emphasis on:
• understanding of the material
• correct algorithmic thinking
• methodology for solving problems
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We cover, for example: pseudocode, tables, repetitions, control structures and common exam errors.

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• Operating Systems
• Computer Architecture
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English text below

PhD Candidate in Computer Science – Private Tutoring & Pancyprian Exams

I am a PhD candidate in Computer Science offering private tutoring for high school students (Pancyprian Exams – Computer Science) and university students.

Pancyprian Exams – Computer Science

Structured exam preparation focusing on:
• understanding the syllabus
• correct algorithmic thinking
• exam-oriented problem-solving
• analysis of past Pancyprian exams

Topics include pseudocode, arrays, loops, control structures, and common exam mistakes.

University & General Computer Science

Support in:
Programming (C/C++/Python)
• Operating Systems
• Computer Architecture
• Code understanding and debugging

Lessons are available in person or online, with emphasis on understanding concepts rather than memorization.
verified badge
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The goal is not to delegate writing to AI, but to learn how to consciously and systematically integrate it into the scientific workflow. Throughout the course, the path from initial idea to final text is explored step by step, always with a critical eye.

We begin with chat setup and formulating appropriate prompts. Good interaction with AI doesn't depend on "tricks," but on clear questions and a well-defined framework. We'll show you how to guide the dialogue to obtain useful and consistent results.

Next, we work on developing the text's structure. AI can help develop a solid and logical outline, which will serve as the basis for subsequent argumentation. We explain how to evaluate and adapt these proposals according to academic criteria.

A central section is dedicated to source research. We analyze how AI can support information retrieval and sorting, and why citation and reference verification is essential. Methods for detecting errors, inaccuracies, and nonexistent sources are presented.

The proper use of footnotes and comments is also addressed. It explains how to integrate references, clarifications, and annotations without sacrificing clarity or formal rigor.

The final phase of the course focuses on writing and revising the text. It demonstrates how to use AI to improve style, coherence, and linguistic precision, as well as to identify argumentative problems. The course concludes with the process of exporting and preparing the final document for submission.

The course is designed for academic work such as essays, coursework, and theses, and is suitable for students of any discipline. No prior technical knowledge is required, only a willingness to work thoughtfully and responsibly.
verified badge
Hi, I’m Madhav (Canada, ET). I am an MSc in Computer Science with 7+ years of professional experience building real-world software systems in Python. Currently, I work as a Software Development Manager where I lead 2 teams building web applications in python.

I bring 4+ years of programming instruction, combining academic rigor with real-world tech industry standards. During my Master’s in Canada, I served as a Teaching Assistant for undergraduate CS courses and delivered Python workshops to over 500 learners, mastering the art of breaking down complex topics for beginners.

My greatest asset to you is my 7+ years of industry experience. In our lessons, I am going to focus on building real world projects that will prepare you for python programming in the real world.

Book the first session to start your journey to learning python!
verified badge
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You don't need any prior programming experience. We'll start with the basics and progress step by step until you're able to create interactive projects on your own. If you have prior experience, we can start where you're comfortable or where you need assistance.

What will you learn?
Programming Fundamentals
Variables, data types, and operators
Conditionals and loops
Reusable functions and structures
Arrays and objects
DOM Manipulation
Events and forms
Introduction to asynchrony (promises and async/await)
API consumption
Development of practical projects

Methodology
The course is 100% practical:
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Guided exercises
Mini-projects in each module

The goal is not only to understand the theory, but to learn to think like a programmer and acquire a solid foundation to move towards modern frameworks like React or Node.js.

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Anyone interested in the world of technology

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• Analysts
• Managers
• Entrepreneurs
• Professionals wishing to improve their data skills

Each session is personalized according to your objective: academic project, professional dashboard, KPI optimization or preparation for a Data position.
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