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Computer science lessons in Aryanah

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7 computer science teachers in Aryanah

(24 reviews)
Adam - Paris, France£22
Trusted teacher: Online Course: Basic Concepts of Algorithms and Data Structures Duration : - 60 minutes: condensed format to introduce fundamental concepts with targeted exercises. - 90 minutes: extended format to explore concepts in depth, solve complex problems, and include an interactive question-and-answer session. --- General description This course is designed for students and professionals who are new to computer science, as well as those who want to solidify their foundation in algorithms and data structures. It provides a clear and practical introduction to the essential tools for solving problems effectively, by learning how to design and analyze algorithms. Whether you are preparing for an exam, a technical interview, or want to improve your programming skills, this course will guide you in understanding theoretical concepts and their practical application. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the fundamental concepts of algorithms: sorting, searching, time complexity. 2. Master key data structures: arrays, lists, stacks, queues, trees, and graphs. 3. Solve problems by choosing appropriate data structures and algorithms. 4. Analyze and optimize the performance of algorithms. --- Course syllabus 1. Introduction (5-10 min) - Presentation of the objectives and concepts covered. - Importance of algorithms and data structures in computer science. 2. Fundamental concepts (20-30 min) - Definitions and roles of algorithms and data structures. - Temporal and spatial complexity: basic notions (Big O). - Basic data structures: arrays, lists, and dictionaries. 3. Practical application and examples (30-40 min) - Simple sorting implementation (insertion sort, bubble sort). - Search example (linear search, binary search). - Manipulation of stacks and queues through practical exercises. - Bonus for the 90 min format: Exploration of trees and graphs (simple example of a route). 4. Q&A and conclusion (5-10 min) - Review of the concepts covered. - Tips for continuing to practice and progress. - Suggestions for personal projects to apply the knowledge acquired. --- Teaching methodology - Interactive learning: a combination of theoretical explanations and practical applications. - Concrete examples: each concept is illustrated by practical cases and guided exercises. - Adaptation to needs: the courses are adjusted to the level and objectives of each participant, with a focus on the most relevant aspects. --- Target audience This course is aimed at: - Computer science students wishing to strengthen their mastery of the basics before exams or projects. - Programming beginners who want to understand the essential mechanisms behind problem solving. - Professionals preparing for technical interviews or seeking to improve their understanding of algorithms. --- Benefits of this online course - Personalized support from an experienced trainer. - Educational materials and practical exercises accessible after the session. - Flexible hours to fit your schedule. - Progressive approach to facilitate learning, even for beginners. Develop your skills in algorithms and data structures today to efficiently solve the complex problems of tomorrow! ---
Tutoring · Computer science · Algorithms
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
Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning. Course Highlights: Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code. Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks. Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data. Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance. Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor. Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python. Join us and embark on an exciting journey into the realm of programming and machine learning!
Computer programming · Computer engineering · Computer science
Trusted teacher: Hey, This is Hammad, I'm a Python Developer and I am working on Python for almost 2 years😇. I will teach you a Full Beginner's Computer Science: Python Course covering from the basics to advanced level programming. My bachelor's in Computer Science is in progress and use python on a regular basis in Data Science, Deep Learning Programming. Teaching Methodology I also give online tuition, my teaching methodology mainly involves explaining concepts with examples by using Jupyter Notebooks. Then I practice one or two questions with the student. Then I give questions to students through sharing Notebooks on screen and ask them to solve on their own. I help them out if they are stuck and then we discuss the answers. This helps in having an interactive class and you will surely not be bored with me and will start liking Python even more😊. General Course Outline: //Python 1 // Print Variables. Logical Operators. Comparison Operators. Comparison Operators If/Else Statements Comments. User Input. List and List’s Functions. List Slicing. Tuples. //Python 2 // For Loops. Nested For Loop. Break, Continue, Pass. Type Casting. Sets. Dictionary. //Python 3// Functions While Loops. Exceptions. File I/O. CSV file. JSON File. Learning Python has never been so easy, enjoyable, and affordable! Don’t lose one more second when you can start learning Python right now! More and More people are doing it. Are you ready to embrace this wonderful experience? Get Access Now! Best Regards, Hammad
Computer programming · Computer science · Python
GCSE Computer Science, Mathematics, and Physics Tutoring I specialize in tutoring Computer Science, Mathematics, and Physics for GCSE students. I aim to provide clear, engaging lessons that help students master key concepts while building confidence in their problem-solving abilities. In Computer Science, students will learn programming fundamentals, algorithms, loops, logic gates, conditions, computational thinking, and exam techniques to excel in theory and practical assessments. Whether you're new to coding or refining your skills, I guide students through real-world applications of computing, using languages like Python to bring lessons to life. In Mathematics, I focus on helping students understand the core principles of algebra, geometry, and statistics. Lessons are designed to reinforce schoolwork, address challenging topics, and prepare students for GCSE exams with practice problems, test-taking strategies, and personalized feedback. For Physics, I make complex concepts like mechanics, electromagnetism, and energy systems accessible and interesting. Students will engage in hands-on activities and thought experiments that deepen their understanding of the physical world, preparing them for exams and future STEM studies. I assign targeted homework after each session and provide periodic progress reports to ensure students stay on track and continuously improve. My approach is to challenge students without overwhelming them, fostering a positive learning environment where they can excel academically.
Computer science · Math · Physics
Welcome to "AI and Data Science" – a comprehensive, customizable course designed for learners at any level, from beginners to advanced professionals. Whether you're just starting your journey into the world of artificial intelligence and data science or looking to enhance your existing skills, this course will provide you with the knowledge and practical tools you need to excel. What You'll Learn: Fundamentals of Data Science: Understanding data collection, cleaning, and preprocessing; learning to analyze and visualize data using tools like Python, Pandas, and Matplotlib. Introduction to AI and Machine Learning: Explore basic concepts of AI, supervised and unsupervised learning, and popular algorithms (e.g., regression, classification, clustering) with hands-on coding exercises. Advanced AI Techniques: Delve into deep learning, neural networks, and advanced algorithms like decision trees, SVMs, and reinforcement learning. Practical Projects: Work on real-world projects such as predictive modeling, sentiment analysis, and building AI applications using Python libraries like TensorFlow and PyTorch. Storytelling with Data: Develop skills to communicate insights effectively, using data visualization tools and storytelling techniques to create compelling narratives from data. Database Management: Learn how to work with databases (SQL and NoSQL) and manage data efficiently for large-scale applications. What to Prepare: Basic Computer Skills: No prior programming experience is required for beginners, but familiarity with basic computer operations is recommended. Software Setup: Students will need to install software like Python, Jupyter Notebooks, and data science libraries (instructions will be provided during the course). Curiosity and Dedication: This course encourages a hands-on approach, so students should come ready to code, experiment, and learn through practical examples. What to Expect: Customized Learning Experience: Lessons are tailored based on the student’s level and goals, ensuring a personalized approach that aligns with your learning pace and interests. Supportive Environment: Receive one-on-one mentoring and support to help you overcome challenges and master complex topics. Skills You Can Apply Immediately: Gain practical, job-ready skills that are in high demand across industries, including AI, finance, marketing, and tech.
Numerical analysis · Database · Computer science
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 85 reviews.

Science, Physics, Chemistry, Biology & Maths Tutoring and Test Prep (Mueang Samut Prakan)
Roman
Roman gave tutoring sessions to my 15 y.o.son on IGCSE Co-ordinated Science, extended. He is a really great tutor, not only making science interesting to my son, but also improving his grades on school assignments, which now become all A’s. I would definitely recommend Roman to the students who wish to improve their grades on Science and get ready for the IGCSE exams.
Review by ALUA
Math/Computer Science Tutoring for high-school and BSc Computer Science students (Zurich)
Bozhidar
Bozhidar is a student but his teaching skills are better than most of professional teachers my son has dealt with as tutors. Quick to grasp the nature of a problem, very patient with his explanations. Excellent communication and organisation skills.
Review by SERGEI
Games, animations and interactive stories with Scratch (children and teenagers) (Ixelles-Elsene)
Ilias
Fantastic! Ilias really prepared well and took the time to understand what my son needed. He was very positive and encouraging and we look forward to the next lesson!
Review by SHANNON BELL