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Since September 2026
Instructor since September 2026
Experienced Computer Science Teacher – Online Programming Lessons in Python, MATLAB and SQL in Serbian, Bosnian and Croatian
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From 61 C$ /h
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I am an experienced computer science teacher with many years of teaching experience and a university degree in Mathematics and Computer Science.

I offer individual online lessons in programming and computer science for school students, as well as support for university students in selected subjects. Lessons can cover Python, MATLAB, SQL and databases, algorithms and programming fundamentals, computer systems, and web development with HTML, CSS and JavaScript.

My lessons are adapted to each student's previous knowledge, current curriculum and individual goals. I explain concepts step by step and focus on understanding the logic behind programming rather than simply memorizing code.

We can work on current school or university topics, programming exercises and assignments, fill gaps in knowledge, prepare for tests and exams, or develop practical programming skills.

Lessons are taught online in Serbian, Bosnian or Croatian, which can be particularly helpful for students from families from the former Yugoslavia who live and study in Germany, Austria, Switzerland or other countries.
Extra information
Please send me the topic, exercises, assignment or exam materials before the lesson whenever possible, so I can prepare in advance and we can use our time efficiently.
Location
location type icon
Online from Germany
About Me
I am a qualified mathematician and an experienced teacher of mathematics and computer science with many years of teaching and individual tutoring experience.

I currently teach computer science in a specialized IT program at a secondary school, and previously taught mathematics for many years. I work with both school and university students, adapting my teaching to their level, learning goals and individual needs.

My teaching style is based on clear and structured explanations, logical thinking and genuine understanding rather than memorizing procedures. I explain concepts step by step and encourage students to become confident and independent in solving problems.

In addition to mathematics and computer science, my previous technical education in building construction gives me a strong background for teaching geometry, descriptive geometry and statics.

I offer online lessons in Serbian, Bosnian and Croatian, which can be particularly helpful for students from families from the former Yugoslavia who live and study abroad.
Education
University of Kragujevac, Faculty of Science – University Diploma in Mathematics (pre-Bologna), Mathematics and Computer Science program.

ITAcademy – Frontend Development, one-year professional program.

Secondary technical education – Building Construction Technician.
Experience / Qualifications
Experienced teacher of mathematics and computer science with many years of teaching experience. Currently teaching computer science in a specialized IT program at a secondary school. Previously taught mathematics and computer science for many years.

Extensive experience in individual tutoring, exam and entrance-exam preparation, as well as working with talented students and preparing students for mathematics competitions.

Teaching experience includes mathematics, Python, MATLAB, databases and SQL, algorithms, computer systems, HTML/CSS, Microsoft Office, geometry, descriptive geometry and statics.
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
60 minutes
The class is taught in
English
Serbian
Croatian
Bosnian
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
I am a qualified mathematician and an experienced teacher with many years of experience teaching mathematics and computer science, as well as extensive experience in individual lessons with school and university students.

I offer individual online lessons in mathematics for students of all school levels and university students. I can also provide support in statistics and physics for school students.

My lessons are adapted to each student's previous knowledge, current curriculum and individual goals. I focus on clear, structured explanations and logical thinking. We can work on current school or university topics, fill gaps in knowledge, solve homework and practice problems, or prepare specifically for tests, exams and entrance examinations.

For university students, I can also cover more advanced mathematical topics. My goal is not simply to solve a problem for the student, but to explain the reasoning and method so that they can understand it and apply it independently.

Lessons are taught online in Serbian, Bosnian or Croatian, making them particularly suitable for students from families from the former Yugoslavia who live and study in Germany, Austria, Switzerland or other countries.
Read more
I am a qualified mathematician and an experienced teacher with many years of experience teaching mathematics, as well as extensive experience in individual lessons with school and university students.

I offer individual online lessons in geometry, trigonometry and calculus for school and university students. Lessons can also cover algebra, analytic geometry, derivatives, integrals and differential equations, as well as descriptive geometry and statics for students of technical secondary schools and technical university programs.

Thanks to my previous technical education in building construction, I also have a strong background in technical subjects and spatial geometry. I focus on clear, structured explanations, logical thinking and spatial visualization, adapting each lesson to the student's previous knowledge, curriculum and individual goals.

We can work on current school or university topics, solve exercises and assignments, fill gaps in knowledge, or prepare specifically for tests, exams and entrance examinations.

My goal is not simply to solve a problem for the student, but to explain the reasoning and methods so that they can understand them and apply them independently.

Lessons are taught online in Serbian, Bosnian or Croatian, making them particularly suitable for students from families from the former Yugoslavia who live and study in Germany, Austria, Switzerland or other countries.
Read more
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Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

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Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.
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Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

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As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

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Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.
verified badge
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This comprehensive and personalized academic support program is designed to meet your needs and help you succeed!

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This course offers tailor-made support, adapted to your level and your objectives:

🎯 Progress in mathematics by strengthening your foundations and mastering advanced concepts.
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🚀 Develop essential skills in algorithms and computer problem solving.
🎓 Effectively prepare for your exams (Bac, Licence, competitive exams) thanks to targeted revisions and practice subjects.
With a caring educational approach, this course helps you gain confidence and achieve your academic goals.

📘 Mathematics – From Secondary to Bachelor
Mathematics is the key to academic success in many scientific and technical fields.
This module covers:

Secondary Level (Middle and High School):

Arithmetic, fractions, percentages, proportionality.
Algebra: Equations, inequalities, functions (linear, quadratic, exponential, logarithmic).
Geometry: Theorems, trigonometry, analytical geometry.
Statistics and probability: Analyze data, calculate probabilities.
Preparation for exams: Brevet, Bac, entrance exams for grandes écoles.
University Level (Bachelor):

Differential and integral calculus: Derivatives, integrals, sequences and series.
Linear Algebra: Matrices, vectors, systems of linear equations.
Advanced Probability and Statistics: Random variables, probability laws, estimation and hypothesis testing.
Numerical analysis: Methods for approximate resolution of equations and systems of equations.
Discrete Mathematics: Graphs, Boolean logic, combinatorics.
This module offers progressive exercises, clear explanations and detailed corrections to understand in depth and train effectively.

💻 Programming – C, C++, Python and Java
Mastering programming is a major asset for success in the digital and technological field.
This module covers the fundamentals of programming to enable you to:

Understand algorithmic logic and computer problem solving.
Master the syntax of the C, C++, Python and Java languages.
Writing your first programs: Variables, conditional structures, loops, functions.
Work on practical projects: Calculator, data management, simple games, sorting and searching algorithms.
Develop advanced skills:
Object-oriented programming (C++, Java): Classes, inheritance, polymorphism.
Memory management (C, C++): Dynamic allocation, pointers.
File manipulation: Reading and writing data.
Data structures: Lists, stacks, queues, binary trees.
Code optimization for faster and more efficient programs.
This module offers concrete examples, practical exercises and motivating projects to help you learn while having fun while developing skills useful in the professional world.

🎯 Interactive and Motivating Teaching
Dynamic online courses: Learn from home in an interactive format with audio and screen sharing.
Tailor-made method: The courses are designed according to your level and your objectives for learning at your own pace.
Practical exercises and concrete projects: To apply theoretical concepts and develop your skills.
Personalized monitoring: Regular support to monitor your progress and adapt the program to your needs.
Encouragement and motivation: A positive approach to building your confidence in your abilities.
🔔 For Who?
This program is aimed at:

High school students wishing to strengthen their foundations in mathematics or learn to program.
University students in science or computer science looking to deepen their knowledge of math and programming.
Candidates for exams and competitions preparing for the Baccalaureate, a License, or entrance exams to the grandes écoles.
Programming enthusiasts wanting to learn the fundamentals of C, C++, Python or Java.
Adults in professional retraining wishing to acquire programming skills.
🚀 Ready to Succeed?
Join the "🎓 Academic Support – 📘 Maths from Secondary to Bachelor & 💻 Programming in C, C++, Python and Java!" and benefit from personalized support to achieve your goals.
Whether you want to improve your grades, pass your exams or develop programming skills, this program will give you knowledge, confidence and motivation.

Register today and take the first step towards success!
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Do you need professional support for your data analysis and quantitative methods?

I offer personalized support in data analysis, statistics and quantitative methods**, tailored to your academic or professional needs.

Whether you are a student, doctoral candidate, researcher, consultant or professional, I offer my expertise to support you through the various stages of your project:

Database preparation, cleaning and organization**
Statistical analyses with R, Python, Stata and SPSS**
Statistical and econometric modeling**
Analysis and processing of questionnaires**
Creating dashboards and interactive visualizations with R Shiny and Power BI**
Rigorous interpretation of results**
Creation of charts, graphs and visualizations tailored to your results**
Support in the presentation and dissemination of analyses** in the form of reports, dissertations, theses or scientific publications

Support tailored to your project

Each assignment is carried out with **rigor, pedagogy, and confidentiality**. The objective is not only to obtain statistical results, but also to enable you to **understand the methods used, correctly interpret the results, and present them clearly and relevantly**.

I can intervene in the following areas:

🎓 Academic Projects
Dissertation • Thesis • Scientific article • Research project • Questionnaire analysis

💼 Professional projects
Quantitative studies • Data analysis • Modeling • Reporting • Dashboards • Visualization

Do you want to become self-sufficient in analyzing your data?

For those who wish to go further, I also offer a complete and progressive course enabling you to learn how to explore, manipulate, visualize and analyze your data independently.

Do you have a specific project or issue? Contact me, briefly describing your needs, data, and the tools you wish to use. Together, we can determine the most suitable support.
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This course is a comprehensive and practical introduction to the WordPress CMS, designed for beginners who want to create, customize, and publish their own website, without writing a single line of code.

🎯 Educational objectives:

1- Understand how WordPress and its interface (back-office) work

2- Install WordPress locally using MAMP

3- Choose, install and customize a theme adapted to your needs

4- Use a builder (like Elementor) to create modern and dynamic pages

5- Create a structured navigation menu

6- Import a pre-built demo to save time

7- Put your site online and learn good maintenance practices

🧰 On the program:

1- Installing the local environment with MAMP

2- Getting started with the WordPress interface

3- Management of pages, articles, media, extensions and settings

4- Visual customization (themes, CSS, builders)

5- Hosting your website online

6- MCQs and practical exercises to validate your knowledge

💡 Who is this course for?

For students, entrepreneurs, freelancers, web enthusiasts, or anyone who wants to create their own website without relying on a developer.
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This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning.

The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.
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Private Programming Lessons for you / your family / your company employees
Programming Tutor – IGCSE & Computer Science Subjects
Deeper understanding, stronger results

• Lecturer at the American University AUC
• Over 20 years of experience in training students for government employees, oil companies (BP), food companies (Nestle), banks (CIB), and telecommunications companies (Vodafone).

• Teaching curricula, syllabuses, courses:
o IGCSE (Computer Science 0478, ICT 0417)
o Programming and computer courses for all educational levels (from primary to university)
o Microsoft Windows, Word, Excel, PowerPoint, Outlook, MS-Project
o Programming, C, C++, VB.NET, C#, Python, Database, SQL, MQL, VBA
o HTML, CSS, JavaScript, Angular
o Different database systems
o Data analysis using Excel
o Computer and Information Colleges Curricula
o Using artificial intelligence in life and work

• Master office applications to improve your job performance.
• Prepare yourself to work as a Front-End / Back-End / Full Stack Developer
• Theoretical and practical training for market requirements
• Don't miss out on technology. Lessons are designed for the elderly, in a simple and understandable way (use of computers and their programs, use of mobile phones, dealing with the Internet and social media).
• Lessons are available in person or online.
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A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

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B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.
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I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects
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Are you interested in learning Python but don't know where to start? This course is designed to help you understand the fundamentals of Python programming in a simple, practical, and enjoyable way.

Python is one of the most popular programming languages in the world. It is widely used in software development, automation, data analysis, artificial intelligence, and web development.

Whether you are a complete beginner, a student, or someone looking to develop new technical skills, these lessons will help you build a strong foundation in programming.

You will learn
1. Introduction to Python
2. Python Fundamentals
3. Conditional Statements and Loops
4. Working with Data
5. Functions and Practical Programming
6. Mini Projects
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# Class Title
**Information Technology & Web Development – From Fundamentals to Real-World Projects**

# Class Description
Explore the world of Information Technology and Web Development through practical, beginner-friendly lessons designed to build real technical skills.

This class introduces students to essential IT concepts, programming fundamentals, web technologies, and the process of creating modern websites and applications.

Topics include:
- **IT Fundamentals:** Computer systems, operating systems, networks, and troubleshooting.
- **Programming Fundamentals:** Problem-solving, logical thinking, algorithms, and coding principles.
- **Web Development:** HTML, CSS, JavaScript, and responsive website development.
- **Backend Development:** Introduction to servers, APIs, databases, and application logic.
- **Practical Projects:** Build websites and small applications while learning how real software is developed.
- **Technology & Career Skills:** Development tools, debugging, version control, and good programming practices.

Whether you're completely new to technology or looking to strengthen your existing skills, the goal is to make complex concepts easier to understand through clear explanations, hands-on exercises, and practical examples.

**My teaching approach:** Learn by understanding, practice by building, and improve by solving real problems.
Good-fit Instructor Guarantee
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