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Discover the Best Private Computer Science Classes in آكسأونبروفانس

For over a decade, our private Computer Science tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in آكسأونبروفانس, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

892 computer science teachers in آكسأونبروفانس

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892 computer science teachers in آكسأونبروفانس

Unlock Your Potential in Programming, Math & Data! Hello! Are you looking to strengthen your skills in Programming, Mathematics, or Data science? As a Master's student in Data Science at Technische Universität Wien and an Experienced Educator, I offer personalized tutoring to help you achieve your academic and learning goals. What I Offer: Programming Fundamentals: Dive into Python, C/C++, Object-Oriented Programming (OOP) and Data Structures. Perfect for beginners or those looking to solidify their understanding. Mathematics: From School Level Concepts to Foundational University Topics, I can help you grasp Complex Ideas and Improve your Problem-Solving Skills. Introduction to Data Science: Get started with Essential libraries like NumPy, Pandas, and scikit-learn, and understand core data analysis concepts (Data Preparation, Analysis, Visualization, Model Training and Predictions). Microsoft Office & Computer Basics: Master Excel, PowerPoint, Word, and General Computer Literacy for Academic or Professional Success. My Teaching Approach: With over five years of experience as a Secondary School Educator and a Co-Founder & Instructor, I believe in a clear, patient, and practical approach. My goal is to make complex topics understandable and engaging, building your confidence step-by-step. I focus on hands-on learning and real-world applications to ensure you not only learn but also enjoy the process. Who Can Benefit: School students University students seeking foundational support Anyone new to programming or data concepts Individuals looking to improve their general computer skills Let's work together to make learning effective and enjoyable! About Me: I am Muhammad, a dedicated Data Science Master's student with a passion for teaching and problem-solving. My background in Software Engineering and my experience in various educational roles have equipped me to guide you effectively on your learning journey.
Computer programming · Computer science · Math
Trusted teacher: Are you preparing for your Digital and Computer Science (NSI) exams and want to maximize your chances of success? "NSI Booster: Intensive Preparation to Shine in Your Exams!" is the course you need to revise effectively, fill in your gaps, and excel on the big day! This comprehensive and intensive program is specially designed for students in Première and Terminale to master all the key concepts of the NSI program and pass with flying colors. Why choose this NSI preparation course? Optimize revision time: Focus on the essential concepts to save time and revise efficiently. Deep understanding of concepts: Don't just memorize, really understand the basics of computing to succeed in the most complex exercises. Intensive practice: Practice with corrected exercises, exam questions and past papers to be fully prepared. Exam Methodology: Learn how to manage your time, structure your answers, and avoid common NSI question pitfalls. Confidence and serenity: Work in a progressive and structured manner to arrive calm on the day of the exam. What you will learn: This course covers the entire NSI program for Première and Terminale, focusing on the concepts most often covered in exams: 1. Algorithms and Programming: Advanced algorithms: Algorithmic complexity, recursion, sorting and searching (quick sort, dichotomous sort). Programming in Python: Advanced syntax: list comprehension, lambda, decorators. Data structures: lists, tuples, dictionaries, sets. Functions and modularity: Decomposition of the problem, reuse of code. File Management: Reading and writing files to process real data. Object-oriented programming: Classes, objects, inheritance, polymorphism in Python. Practical projects: Development of complete programs to apply the concepts covered. 2. Data Structures and Algorithms: Lists, Stacks, Queues, and Trees: Implementation, Manipulation, and Use in Problem Solving. Graphs: Representation (adjacency matrix, neighbor list), breadth-first (BFS) and depth-first (DFS) traversal. Sorting and searching algorithms: Merge sort, quick sort, binary search. Algorithmic complexity: Big-O notation, analysis of algorithm performance. 3. Databases and SQL: Data modeling: Relational model, database design with the Entity-Relationship model. SQL: Select, insert, update and delete queries. Joins (INNER JOIN, LEFT JOIN, RIGHT JOIN). Aggregate functions and subqueries. Optimizing queries for better performance. Practical projects: Creation and management of databases for concrete applications. 4. Computer and Network Architecture: Hardware architecture: Processor, memory (RAM, cache), input/output devices. Computer operation: Instruction cycle, execution of programs in memory. Computer networks: OSI model and TCP/IP. IP addressing, routing, protocols (HTTP, FTP, SMTP). Network security: firewall, encryption, VPN. 5. Web and Front-End Development: HTML/CSS: Structure and formatting of web pages. JavaScript: Dynamics of web pages, manipulation of the DOM, events. Practical projects: Creation of interactive websites to apply the skills acquired. Methodology and educational approach: Targeted and structured revisions: Each module is designed to cover the key concepts of the NSI program while adapting to your level and your needs. Practical exercises and exam questions: Practice with targeted exercises and past exam questions to familiarize yourself with the exam format. Detailed correction and personalized feedback: Each exercise is corrected in detail with a thorough explanation of the solutions. Exam methodology: Advice on how to read and understand the statements, structure your answers and manage your time on the day of the test. Interactive Online Classes: Classes are conducted online with the use of audio and screen sharing, ensuring seamless communication and interactive learning. For who ? This course is aimed at: NSI students in their first and final year of high school who want to pass their exams with intensive and targeted preparation. Computer science students wanting to strengthen their foundations in programming and algorithms. Self-taught people passionate about programming and computer science looking to deepen their knowledge. Parents who wish to support their children in their academic success in computer science. Why choose this course? An experienced teacher: The course is led by a computer engineer with a perfect command of the NSI program, with a clear and motivating teaching approach. An intensive and comprehensive program: Each concept is covered in depth, with varied exercises to practice all types of questions. Personalized support: The content and pace of the course are adapted to your level and your objectives. Flexibility and accessibility: Learn from home at your own pace, with additional resources to deepen your knowledge. How does it work? Initial assessment: A personalized assessment to identify your objectives and your starting level. Interactive online courses: Learn from home with live explanations, demonstrations and practical exercises. Intensive training: Series of exercises and past papers to prepare you for written and practical tests. Personalized monitoring: Receive regular feedback on your progress and advice to continuously improve. Register now ! Don't leave anything to chance when it comes to your NSI exams. Join "NSI Booster" for intensive and targeted preparation, and give yourself every chance of excelling in your exams!
Computer science · Computer programming · Computer modeling
Trusted teacher: **Who am I?** I am a patient, dynamic person with a passion for mathematics and programming. For several years, I have been teaching students from ages 7 to adults, adapting my teaching methods to each student's pace and needs. My goal is for each student to gain a deep understanding of the concepts, rather than having to memorize them. I strive to make these subjects accessible and stimulating, while fostering open dialogue and a climate of trust. I have led several workshops for the EPFL Science Promotion Service, including: - introductions to artificial intelligence for classes aged 10 to 18 at the Musée de la Main in Lausanne; - the “Internet & Code” and “Coding Club” workshops, aimed at young girls aged 9 to 16 to discover programming; - “Maths in Games” workshops for 7-11 year olds. I was also a student assistant for the mathematics course in the preparatory classes at EPFL, and a mathematics and programming tutor for several students during my studies. Thanks to this varied experience, I have developed an interactive, caring and personalized teaching method, which aims to give each student the keys to progress with confidence and pleasure. --------------------- **About the course** As a private tutor, my priority is to create a caring and motivating learning environment, where each student feels confident to ask questions and explore concepts in depth. I always prioritize understanding over memorization. My goal is for students to grasp the logic behind each concept, to be able to explain and apply it, not just recite it. We review the lesson together to clarify any unclear points before moving on to practical exercises that help anchor the knowledge. I encourage curiosity and always remind students that there are no "stupid" questions. -------------------------------------------- **Who are my courses for?** I work with elementary, middle, and high school students, as well as adults. Whether it's to fill in gaps in knowledge, regain confidence, or delve deeper into a subject, my classes are tailored to each student's level and goals.
Math · Computer science · Tutoring
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