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Computer programming lessons in Seeb

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Private Math and Computer Science Lessons with Professor Adrian I am a professor and computer scientist with over 30 years of experience in teaching mathematics and computer science. I specialize in preparing students for national and international competitions, exams, the baccalaureate, and entrance exams for prestigious technical universities. I have served as an editor and author at the Romanian Society of Mathematical Sciences and have contributed as an analyst and DevOps expert to international software projects in Germany. All the students I have mentored have successfully passed their exams, with many achieving top results. Skills and Expertise: • Advanced teaching of mathematics and computer science, including instruction in English and German, tailored to meet international standards (University, Polytechnic, MIT, Oxford, Cambridge). • Intensive preparation for the National Assessment, Baccalaureate, university entrance exams for technical faculties, and school Olympiads, with a strong focus on developing critical thinking and problem-solving skills. • Advanced programming training in C++ and the computer science curriculum for the Baccalaureate. Objectives: My goal is to continue nurturing excellence in mathematics and computer science. I am open to collaborations with elite schools, centers of excellence, and educational organizations. Lesson Details: Lessons are conducted online via Zoom or at my location in Bucharest, Sector 1, Piața Domenii area. Each lesson lasts 2 hours, with materials provided online. Collaboration sessions are available 24/7 through WhatsApp for clarifications and assignments.
Math · Computer programming · Calculus
C Language (Procedural Programming): Understand the basics of procedural programming. Master the fundamental concepts: variables, data types, operators, control structures, functions, and memory management. Develop skills in writing, compiling and debugging programs in C. C++ language (Object Oriented Programming): Introduction to object-oriented programming and its principles. Master the basic concepts: classes, objects, inheritance, polymorphism, encapsulation and abstraction. Develop C++ applications using standard libraries. C# language (Object Oriented Programming): Understand the fundamentals of the C# language and the .NET environment. Master the concepts of object-oriented programming in C#: classes, interfaces, inheritance, polymorphism, etc. Develop C# applications with particular attention to practical aspects and good coding practices. Methodology : Analysis of individual needs: Each student has specific needs, whether beginner or advanced. An initial evaluation will determine the level and objectives. Theoretical lessons: Detailed explanation of the concepts and fundamental principles of programming. Practical exercises: Application of concepts through concrete exercises and projects to reinforce learning. Feedback and personalized monitoring: Correction of work, explanations of errors, and advice for improvement. Concerned public : Computer science students Professionals wishing to retrain or improve their skills Programming enthusiasts wishing to deepen their knowledge
Computer programming
Programming is an essential skill in today's technology-driven world, offering the ability to solve complex problems, automate tasks, and create innovative software solutions. Python, a versatile and beginner-friendly language, is particularly significant due to its simplicity and extensive libraries, making it ideal for various applications from web development to data analysis. Machine learning, a subset of artificial intelligence, empowers computers to learn from data and make decisions or predictions without being explicitly programmed for each task. It is revolutionizing industries such as healthcare, finance, and transportation by enabling advanced data analytics, pattern recognition, and automation. Statistics is essential for data analysis, providing the tools to collect, analyze, interpret, and present data effectively. It enables informed decision-making, trend identification, and drawing meaningful conclusions. In programming and machine learning, statistics is crucial for developing models, validating algorithms, and ensuring accuracy. I specialize in teaching statistics, programming, Python, and machine learning from scratch to an advanced level. My approach ensures that even beginners can build a solid foundation, gradually advancing to tackle complex projects and real-world applications. Whether you are starting with the basics or looking to deepen your expertise, my courses are designed to equip you with the skills needed to excel in the fast-evolving tech landscape.
Computer programming · Python · Math
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