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1362 online computer science teachers

🚀 Treat yourself to excellence to succeed in your exams and competitions! Graduate engineer from a top school, PhD student in mathematics and Artificial Intelligence, with more than 8 years of experience teaching various profiles (Master's, Bachelor's, engineering schools, business schools) and I can support you to progress and achieve your goals in private lessons. 👩‍🏫 Who am I? Artificial intelligence engineer specializing in autonomous driving, with an engineering degree in Mathematics & Computer Science Teacher at an engineering school PhD student in Mathematics and Artificial Intelligence 8+ years of experience in private tutoring and mentoring higher education students (Bachelor's, engineering, business school, Master's) 📚 What I offer Online private lessons (interactive whiteboard on Zoom, Google Meet) Mathematics, Physics, Engineering Sciences, Computer Science: higher education focus (preparatory classes, bachelor's degree, master's degree) Preparation for competitive exams (written & oral), exams, and improving ranking Methods Personalized teaching methods: review of the lesson, targeted/classic exercises, identification of areas of misunderstanding, progression through the program according to your needs Summary sheets and methods for each session to ensure effective revision Individualized support and advice for lasting progress 💡 Why choose my courses? Recognized expertise: track record of excellence, experience in preparatory classes and higher education Concrete results: students admitted to prestigious universities, significant improvement in grades and rankings Human and motivating support: listening, kindness, adaptation to each student Flexibility: slots available in the evenings and weekends, remote courses available anywhere 📞 Contact me now! Don't wait any longer to give yourself every chance of success. A prompt response is guaranteed. I remain at your disposal for any questions or to arrange an initial meeting.
Math · Computer science · Physics
Many students today use AI tools like ChatGPT, but often in an unsafe or improvised way. Legitimate questions arise: Is it allowed? How can mistakes be avoided? How can AI be used without losing control of one's own thinking? This course isn't about shortcuts or "machine-done work." It focuses on understanding AI as a tool and learning to use it consciously and responsibly. We work with concrete examples from the university setting and show how AI can support learning without compromising academic integrity. One of the course's central themes is AI as a research tool. We'll explore how to define topics, formulate effective research questions, and structure a project from the outset. AI can help gain an overview and organize ideas, but we'll also clearly analyze its limitations and the need for critical self-reflection. From there, we move on to academic writing. From developing outlines and arguments to improving style and clarity, AI can be a valuable tool. We demonstrate how to work with drafts, detect inconsistencies, and avoid common errors that often cause problems in academia. Another section is dedicated to learning with AI. Explaining complex texts, clarifying concepts, reviewing content, and checking one's own understanding are especially valuable uses if the right questions are asked. The goal is to use AI actively, not passively. Finally, we use AI as an intellectual sparring partner. Not as a substitute for our own thinking, but as an interlocutor that helps to compare arguments, raise objections, and explore other perspectives. This is where AI's greatest real value often lies: thinking better, not thinking less. The course is designed for students of any discipline. No prior knowledge is required. The goal is to gain confidence in using AI and learn how to integrate it productively and responsibly into university studies.
Computer science · Desktop publishing
Trusted teacher: Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps. 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). 2: Using AI to make life easier Conversing with AI (ChatGPT, Claude, Gemini): 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. AI for creativity and memory: Generate images to illustrate a birthday card (Midjourney, DALL-E). Using AI to restore or colorize old family photos. 3: Learning to "talk" to AI (The Art of the Prompt) The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe". The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener". 4: Precautions and Critical Thinking (The Survival Guide) "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. 5: Ethics and Impacts (To go further) Copyright: Who owns an image created by AI? The environmental impact: The water and energy consumption of AI servers. The future: Will AI replace us or assist us?
Computer basics · Computer science
Trusted teacher: In today's rapidly evolving technological landscape, **Python programming** has emerged as one of the most **critical skill sets** for professionals across industries. With applications spanning web development, data science, artificial intelligence, automation, and more, Python continues to dominate as the **language of choice** for developers and organizations worldwide. This proposal outlines a comprehensive Python course designed and delivered by **Amr**, a developer and instructor with over **20 years of experience** in the field. The course combines fundamental programming concepts with practical, real-world applications, ensuring students gain not just theoretical knowledge but **marketable skills** that align with current industry demands. By leveraging cutting-edge teaching methodologies and extensive professional experience, this course offers an unparalleled learning opportunity for aspiring programmers and experienced developers alike. ## 1 Introduction to Python Programming Python has established itself as a **powerhouse programming language** across various domains, from web development and data analysis to artificial intelligence and automation. As of 2025, the demand for Python skills continues to soar, with industry giants like Cisco, IBM, and Google leveraging its capabilities for their projects . Python's dominance in the technology sector is undeniable – it remains the **most requested programming language** in job postings across multiple industries, including finance, healthcare, technology, and entertainment. The language's popularity stems from several key factors: its **user-friendly syntax** that resembles natural English, making it exceptionally accessible for beginners; its **versatile nature** that supports multiple programming paradigms; and its **extensive ecosystem** of libraries and frameworks that simplify complex programming tasks. Python's cross-platform compatibility ensures code runs seamlessly on Windows, macOS, and Linux environments, while its open-source nature has fostered a massive community of contributors who continuously expand its capabilities . These attributes make Python not just a programming language but a **comprehensive toolset** for solving diverse computational problems. For professionals looking to future-proof their careers, Python offers **exceptional value**. According to industry data, Python developers in the United States earn an average of **$116,028 per year**, reflecting the high market demand for these skills . Beyond financial rewards, Python proficiency opens doors to cutting-edge fields like machine learning, natural language processing, and data analytics – domains that are shaping the future of technology across industries. ## 2 Course Overview & Learning Objectives ### 2.1 Course Philosophy This Python programming course is designed with a **practice-oriented approach** that emphasizes hands-on learning and real-world application. Unlike traditional programming courses that focus heavily on theory, this program balances conceptual understanding with **practical implementation**, ensuring students develop the skills needed to solve actual business problems. The curriculum is structured to build proficiency gradually, starting with fundamental concepts and progressing to advanced applications, with each module incorporating **project-based learning** components. ### 2.2 Key Learning Objectives Upon successful completion of this course, students will be able to: - **Demonstrate proficiency** in core Python programming concepts including data structures, control flow, functions, and file handling - **Develop functional applications** using Python for various domains including web development, data analysis, and automation - **Implement object-oriented programming** principles to create modular, maintainable code - **Utilize popular Python libraries** such as Pandas, NumPy, and BeautifulSoup for specialized tasks - **Integrate with databases** and web APIs to create full-stack applications - **Apply debugging and testing** techniques to ensure code quality and reliability - **Build portfolio-worthy projects** that demonstrate marketable skills to potential employers ## 3 Instructor Qualifications & Experience ### 3.1 Professional Background **Amr** brings an exceptional **twenty-year track record** of development and instruction experience to this Python course. His extensive background encompasses both corporate training and software development, providing a unique blend of pedagogical expertise and practical knowledge. With credentials including a **Bachelor of Computer Science and Management Technology** from Modern Academy and a **Computer Science Diploma** from Arab Academy for Science and Technology, Amr possesses the academic foundation to complement his extensive professional experience. His career demonstrates **progressive responsibility** and expertise across multiple programming languages and frameworks. Beginning as a technical instructor at renowned institutions including NewHorizons, Knowlogy, and Informatica, he quickly established himself as a developer at Microtech and ITS, where he worked on enterprise-level systems including **ERP and banking applications**. This combination of education and hands-on development experience creates an ideal foundation for teaching programming concepts with both theoretical rigor and practical relevance. ### 3.2 Industry Client Portfolio Amr's exceptional teaching credentials are further enhanced by his impressive roster of **corporate clients**, which includes some of the world's most recognized brands: - **Technology Leaders**: Microsoft, IBM, Siemens, Vodafone, and Telecom Egypt - **Financial Institutions**: National Bank of Egypt, NSGB, CIB, and Central Bank of Egypt - **Global Consumer Brands**: Pepsi, Coca-Cola, Nestlé, Cadbury, and Americana - **Industrial Conglomerates**: Chrysler, Valeo, 3M, ABB, and BP (British Petroleum) - **Government Entities**: Libya Government IT Department, Sudan Army Officers, Egyptian Airports Company This diverse client experience has provided Amr with **unparalleled insight** into how Python is applied across different industries and organizational contexts. His exposure to various business domains allows him to teach Python not as an abstract academic exercise but as a **practical tool** for solving real business problems. ### 3.3 Teaching Methodology Amr employs a **learner-centered approach** that emphasizes interactive engagement and practical application. His teaching philosophy is based on the principle that programming is best learned through doing, rather than passive listening. Each concept is introduced through **clear explanations** followed immediately by hands-on exercises that reinforce learning. He adapts his pace and approach based on student comprehension, ensuring no one is left behind while maintaining challenging content for advanced learners. *Table: Instructor's Recent Training Engagements (2023-2025)* | **Year** | **Corporate Clients** | **Training Centers** | **Technologies Covered** | |----------|-----------------------|----------------------|--------------------------| | **2023** | International Finance Corporation, Raya Integration | Raya Academy, IT-Egypt | VBA, Office Automation, Web Technologies, Software Fundamentals with C#, SQL Server Database Design and Querying, Introduction to .NET Core Framework, Building ASP.NET Core Web API, Front-End Development Basics (HTML, CSS, JavaScript, TypeScript), Advanced Front-End Development with Angular, Integration and Deployment | | **2024** | 3M, Pepsi | NewHorizons, Radio & Television Institute, Informatics (Lebanon), Total-Tech (KSA), Global Business Star (USA) | SQL Query (20761), SQL Development (20762), SQL Admin (20764,20765), Tabular, MQL5, ASP.NET Core MVC Web Applications (20486), Programming in C# (20483), Programming in HTML5 with JavaScript and CSS3 (20480), LINQ, EF (Entity Framework) | | **2025** | Siemens, Vodafone | YAT, Future University | Full Stack Development, Data Analysis | ## 4 Detailed Course Curriculum ### 4.1 Module Breakdown The Python course is structured into **eight comprehensive modules** that systematically build programming proficiency from foundation to advanced application: 1. **Python Fundamentals** (10 hours): Syntax, variables, data types, operators, and basic input/output operations. Students will write their first programs and understand how Python interprets and executes code. 2. **Control Structures & Functions** (15 hours): Conditional statements (if/elif/else), loops (for/while), function definition, parameters, return values, and scope. Emphasis on writing clean, reusable code. 3. **Data Structures** (20 hours): Lists, tuples, dictionaries, sets, and their appropriate applications. Includes comprehensive exercises on data manipulation and storage. 4. **Object-Oriented Programming** (20 hours): Classes, objects, inheritance, polymorphism, and encapsulation. Students will learn to structure code using OOP principles for better maintainability. 5. **File Handling & Modules** (10 hours): Reading/writing files, exception handling, importing modules, and creating custom modules. Practical applications for data persistence. 6. **Web Development with Python** (25 hours): Introduction to Flask/Django frameworks, REST APIs, and basic front-end integration. Students will build a functional web application. 7. **Data Analysis & Visualization** (25 hours): Using Pandas for data manipulation, NumPy for numerical computing, and Matplotlib/Seaborn for visualization. Real-world datasets will be used for analysis. 8. **Introduction to Automation & Scripting** (15 hours): Applying Python to automate repetitive tasks, web scraping with BeautifulSoup, and working with APIs. ### 4.2 Practical Projects The curriculum includes **five portfolio projects** that allow students to apply their learning: 1. **Data Analysis Project**: Analyzing real business data to extract insights and create visualizations 2. **Web Application Project**: Building a fully functional web application with database integration 3. **Automation Script**: Creating a practical tool to automate a repetitive computer task 4. **API Integration Project**: Connecting to external services and processing returned data 5. **Final Capstone Project**: A comprehensive application that demonstrates mastery of course concepts ### 4.3 Python in Marketing Analytics A special section of the course will focus on **Python applications in digital marketing**, covering how Python can be used for marketing automation, data analysis, and operations . Students will learn: - **Working with APIs** to connect different software tools and automate marketing workflows - **Web scraping** to gather data from web pages for content analysis and competitive intelligence - **Text analysis** for sentiment analysis, content optimization, and customer feedback processing - **Data analysis** for marketing analytics using Pandas and visualization libraries - **Technical SEO** applications using Python libraries like advertools and EcommerceTools This specialized content demonstrates Python's versatility beyond traditional programming roles, showing its value in business functions like marketing where data skills are increasingly crucial. ## 5 Training Methodology & Delivery ### 5.1 Interactive Learning Approach This Python course employs a **multimodal teaching methodology** that accommodates diverse learning styles while ensuring practical skill development. Each session follows a structured pattern: 1. **Concept Introduction**: Clear explanation of programming concepts with real-world analogies 2. **Live Coding Demonstration**: Step-by-step coding examples that students can follow along 3. **Guided Practice**: Structured exercises with instructor support and immediate feedback 4. **Independent Challenge**: Problem-solving activities that require applying concepts creatively 5. **Code Review**: Collaborative analysis of solutions to identify best practices and improvements This approach ensures that students not only understand theoretical concepts but develop the **problem-solving mindset** essential for effective programming. The emphasis is always on writing clean, efficient, and maintainable code following industry standards. ### 5.2 Hands-On Labs & Exercises A distinctive feature of this course is the extensive **hands-on programming practice** integrated throughout the curriculum. Students will spend approximately **60% of course time** actively writing code rather than passively listening to lectures. Practical components include: - **Coding exercises** for each new concept introduced - **Mini-projects** that combine multiple concepts into functional applications - **Debugging challenges** that develop problem-solving skills - **Code optimization** activities focusing on efficiency and performance - **Pair programming** sessions to foster collaboration and knowledge sharing ِSend me if you have any questions, Regars, Amr
Python · Computer programming · Computer science
Trusted teacher: PhD Candidate in Informatics – Private Lessons & Pancyprian Exams 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 • analysis of old Pancyprian exam questions We cover, for example: pseudocode, tables, repetitions, control structures and common exam errors. Students & General Computing Support in: • Programming (C / C++ / Python) • Operating Systems • Computer Architecture • Code Understanding & Debugging In-person or online courses, with emphasis on understanding and proper study organization. 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.
Computer programming · C - c++ · Computer science
Trusted teacher: Hey! Are you looking for a young, approachable yet meticulous tutor in Computer Science or Mathematics? Then I believe I might be the tutor for you! I offer lessons in the aforementioned subjects (English only) for high-school and bachelor students at the start of their studies. A little bit about me: My name is Bozhidar and I am a MSc Data Science student at ETH Zuerich. Last year, I completed my bachelor's in Computer Science at TU Delft (the #1 technical university in the Netherlands) with distinction. I was a teaching assistant for 10 courses during my stay at the university. Additionally, I have given private lessons to a few high school and bachelor's students, so I believe I have accumulated enough experience with guiding and tutoring students across different disciplines. I have found out that I enjoy teaching a lot, so that is why I am here - to help you and myself! My expertise: During my high school years, I won tens of awards and scholarships for achievements in Mathematics and Computer Science. I also won my high school's recognition award which is given to one student every year for distinctive results. I've helped high-school and university peers with exam preparation, taught whole courses privately, prepared sample exams, and reviewed and graded real ones. Regarding the university courses I have experience in, I have taught: - Object-Oriented Programming - Reasoning & Logic - Computer Organisation - Algorithms and Data Structures - Web and Database Technologies - Calculus - Information & Data Management - Automata, Computability and Complexity - Concepts of Programming Languages - Computational Intelligence Here are some of the reviews I have received as a teaching assistant: Overall: 4.97/5 (70 reviews) 5/5 - "Great job! Did far more than just explaining this example and went far deeper into the material, helping me to understand it." 5/5 - "Favourite TA. Always there for the difficult questions. Never leaves anything unanswered no matter how long it takes." 5/5 - "Delightful person with an insightful way of thought! Brilliant TA!" 5/5 - "Clear explanations and expert in the material" So, what are you waiting for? Write me a message and let's get the knowledge train running.
Math · Computer science
Javascript · Computer science · Web development
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German classes for all levels 🇩🇪🇦🇹(Beginner, intermediate or advanced) (Nagoya)
Khalil カル
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I recommend Khalil without a doubt to anyone looking to improve his/her German level in both writing and speaking. He is a very professional, structured and knowledgeable teacher. He was able to immediately evaluate my level of German during the very first lesson and adjust the teaching methodology and materials accordingly. I am truly impressed with his patience and dedication towards teaching the proper German pronunciation with all its complexities and difficulties as well as the proper rules when it comes to grammar and language. We also had lessons using Skype which is also a good option for those who have a limited amount of spare time or are too far apart from the teacher. It is obvious that Khalil loves what he is doing and is willing to put all his effort into his passion. I wholeheartedly recommend Khalil for anyone wanting to learn the language.
Review by AMINE
Python (Software Engineers and Data Science): From Basics to Mastery (Brussels)
Mohamed
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I've been studying with Mohamed for several months now, and I can confidently say he is one of the smartest and most effective teachers I've ever worked with. He not only has a deep understanding of Python and Data Science, but he truly knows how to teach. Mohamed has a rare combination of strong technical expertise and outstanding teaching skills. He can explain complex topics in a simple and clear way, and he always chooses examples and exercises that really help you grasp the material. What I value most is his focus on practical application: we don’t get stuck in theory — we move straight to solving tasks that are relevant to real-world work. This makes each lesson extremely useful and efficient 👌🏼
Review by VIKTORIIA
Unlock Math Confidence with a Top-Tier Tutor| School & University Level | Exam Prep & Confidence Boosting (Amsterdam)
Baia
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I couldn’t ask for a better tutor for my daughter! Baia is incredibly knowledgeable in math and algorithms, but what I truly think it sets her apart is her patience, kindness, and ability to make complex concepts easy to understand. She is always well-prepared and adapts her teaching style to fit my daughter’s needs, ensuring that learning is both effective and enjoyable. My daughter has gained so much confidence in her skills thanks to Baia’s guidance. I highly recommend her to anyone looking for an outstanding tutor!
Review by PATRICK REIS
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