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3 algorithms teachers in Amsterdam

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3 algorithms teachers in Amsterdam

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Madalina - Amsterdam, Netherlands£21
£21Software Development, Algorithms, Backend, FrontEnd
Hi All, I'm Madalina, 27 years old software developer. I finished Computer Science high school and university in Romania and Hungary. Working as a full-time backend Java software developer in the past 5 years and full stack (backend + front-end) in the past 2 years. I have experience in teaching and training since 2012. During the lessons the used language for back-end is Java. For front-end HTML, CSS, AngularJS. For fastening up the learning process a personal laptop for the students in the intermediate group, would be optimal. For this purpose I start 3 teams: 1. Beginners : Primary school students or persons interested to have some basic concepts and terminology regarding software development: searching and sorting algorithms, variables, parameters, function overriding, pseudo language, functions, procedures, data structures, pure HTML and CSS. 2. Intermediate: concepts of dns servers and lookup, frameworks definitions and introduction, SQL queries, Hibernate framework, query and processing database objects in Java, http, web services, JSON format, SpringBoot, unit testing JUnit, full stack approach, HTML, CSS and introduction to Angular JS. 3. Advanced : Group for students in the first and second year of university, with a full stack approach. Already familiar with the knowledge of an intermediate student. During the lessons a brief introduction to Java frameworks, project delivery, project management frameworks Agile Scrum and Lean, continuous delivery Jenkins, SpringBoot + AngularJs, implementation of website, database handling, login form, security. Regards, Madalina
Computer science · Software engineering · Algorithms
(24 reviews)
Adam - Paris, France£22
£22Basic concepts of algorithms and data structures in computer science
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
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(7 reviews)
Join - Paris, France£23
£23Personalized tutoring for learning how to write code and program using the Python computer language.
Trusted teacher: Personalized Tutoring for Learning Coding and Programming in Python This online tutoring program is designed to provide you with personalized learning in computer programming with the Python language. Whether you are a complete beginner, a student looking to deepen your knowledge, or a professional eager to master Python, this course adapts to your level and specific needs. By covering the fundamentals of programming, advanced data structures, and complex problem solving, this tutoring will help you acquire the skills needed to excel in software development, data analysis, and artificial intelligence. --- Why choose this program? - Personalized approach: Each session is perfectly adapted to your specific needs and your learning pace. You have the opportunity to ask questions at any time and benefit from personalized follow-up between each session. - Interactive methodology: Practical learning with concrete exercises, case studies and real projects to allow you to directly apply theoretical concepts. - Flexibility of formats: Choose between 60, 90 or 120 minute classes depending on your goals and schedule. - Practice-oriented course: Programming is a field that is learned by doing, each course includes a large part of practice to consolidate the acquired knowledge. --- Course content: Beginner level: 1. Introduction to Python: - Basic syntax, data types (integers, strings, lists, dictionaries, etc.). - Control structures: conditions (if, else), loops (for, while). - Functions and arguments: creation and use of functions. 2. Object-oriented programming (OOP): - Introduction to OOP: classes, objects, attributes and methods. - Encapsulation, inheritance, polymorphism and abstraction. - Implementation of OOP in simple projects. 3. Introduction to file management: - Reading and writing text and CSV files. - Data manipulation for real applications. --- Intermediate level: 1. Advanced data structures: - Advanced lists, stacks, queues and dictionaries. - Algorithm concepts: sorting, searching, algorithmic complexity. - Use of Python libraries: NumPy, Pandas for data manipulation. 2. Error and exception handling: - Introduction to exceptions and error handling in Python. - Creation of custom error messages and handling of common exceptions. 3. Practical projects: - Development of medium-sized projects, such as simple games or data management applications. - Solving real-world problems, such as analyzing data from external files. --- Advanced level: 1. Advanced Libraries and Practical Applications: - Introduction to libraries for web development (Flask, Django) and data analysis (Matplotlib, Seaborn). - Applications of Python in artificial intelligence and machine learning with libraries like TensorFlow or scikit-learn. - Implementation of complex projects using data analysis and visualization tools. 2. Code optimization: - Techniques to improve the performance of Python code. - Memory management and algorithm optimization. 3. Advanced projects: - Development of complex projects in Python such as web applications, data analysis or large-scale data processing tools. --- Course schedule: - 60 minutes: Ideal for tackling a specific topic, working on an exercise or exploring a concept in a targeted manner. - 90 minutes: Allows for a more in-depth exploration of concepts, with concrete examples and interactive exercises. - 120 minutes: Intensive format for revisions, completing complete projects or studying more advanced concepts. Each session includes: 1. Theoretical introduction: Quick review of key concepts or introduction to new topics. 2. Live Practice: Applying concepts with exercises or code in real time, allowing for active learning. 3. Projects: Construction of real projects to put into practice the knowledge acquired. 4. Questions and answers: Time dedicated to clarifying difficult points or problems encountered during the session. --- Resources and tools provided: - Teaching materials: Detailed course documents, practical exercises, projects to complete. - Interactive platform: Use of digital whiteboards, screen sharing to visualize code, and real-time collaboration tools. - Personalized monitoring: You can ask questions outside of class, receive feedback on your projects and benefit from progress monitoring. --- About the trainer: A Python programming expert with several years of experience in teaching and practicing software development. With clear and practice-oriented pedagogy, the trainer will help you move from beginner to intermediate or improve your skills if you are already familiar with the Python language. --- Book your course now! If you want to learn Python programming in an efficient, flexible and practical way, this tutorial is for you. Sign up today to start coding with confidence and progress quickly!
Python · Computer programming · Algorithms
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Jhosimar - Peru£22
£22Data Structures and Algorithms classes, Preparation for Interviews at Google, Microsoft, among others
Trusted teacher: Master in Computer Science from the State University of Campinas (Brazil). He has participated in various programming contests and has been a coach of undergraduate teams for the ACM-ICPC contest. Some of the achievements: - First place in Codesignal in Peru. - Third place in LeetCode in Peru (+1000 problems solved). - Top 1% of registered users on InterviewBit. - More than 1000 problems solved in online judges like UVA, Spoj, HDU, etc. I have participated in Topcoder, CodeJam and other international competitions that require knowledge of algorithms and data structures. I am the author of the blog "Algorithms and More" where I have written tutorials in Spanish with more than 300 daily views. I have experience preparing interviews to apply to companies such as Google, Facebook, Microsoft, among others. The methodology is didactic with a step-by-step explanation of the algorithms and coding. I can also give advice on studies abroad, job opportunities in large technology companies (Google, Microsoft, etc.) and many other opportunities. If you want to improve your abstraction|logic and make your university projects easy to program, this is your opportunity. I do not solve exams. PS: If you are interested in artificial intelligence, you can look for my other ad about it. Knowledge of C, C++, Python.
C - c++ · Computer programming · Algorithms
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(1 review)
Francisco - Martigny-Ville, Switzerland£41
£41PYTHON programming with PhD student in Geophysics with 7+ years of experience
Trusted teacher: Hi! Welcome to my class on Python programming! As a PhD student in Geophysics my main tool is my computer. In order to do science one needs to know how to program. I use Python everyday in order to analyze data, run numerical models, plot results and much more. So, let's embark on the journey of learning Python and explore its diverse capabilities together! For beginners: I have designed it for absolute beginners to become at ease with the language within 5 sessions of 1h. Message me to know the 5 classes curriculum and I will be more than happy to share it with you! For intermediate users: If you already know the basics of Python but want to go more in-depth on certain packages this is the right place! Message me and we can discuss what your needs are! I am a professional user of Numpy, Pandas, Matplotlib, os, scipy and many more packages! Are you not sure Python is the right language for you? Check the following out and let me know if you have any questions! First of all, what is Python? According to its creator, Guido van Rossum, Python is a: “high-level programming language, and its core design philosophy is all about code readability and a syntax which allows programmers to express concepts in a few lines of code.” Learning Python is a rewarding experience for several reasons. Firstly, Python is inherently beautiful as a programming language, offering a natural and expressive way to translate your thoughts into code. Its readability and simplicity make coding an enjoyable and intuitive process. The Python language finds applications across various domains, including data science, web development, machine learning and AI. For example, platforms like Quora, Pinterest, and Spotify leverage Python for their backend web development! This versatility makes Python a powerful tool for those eager to delve into different aspects of programming. If this caught your curiosity message me and I'll make you a Python hero! Welcome to the community!
Python · Computer programming · Algorithms
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Our students from Amsterdam evaluate their Algorithms teacher.

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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 69 reviews.

Tutoring for Standard Mathematics Exams (UG level). (Amsterdam)
Haralambie
Haralambie has provided incredible support throughout our sessions in a variety of challenging areas of mathematics. The breadth of Haralambie's expertise is evident in the many ways he can demonstrate the idea. I have benefitted from Haralambie's clarity in showing the relevance of specific theorems and how they connect with upcoming material. I have learned a lot from our sessions and he marries the conceptual gaps that come up by explaining the ideas and properties very well. Haralambie provides guidance, patience, and context to the topics covered in subjects that are otherwise disorienting. We work together to hammer out a conceptual stump. My learning experience with Haralambie is fun and engaging, and his input and guidance has been incredibly helpful in elucidating areas that I have missed which improves my approach to future problems.
Review by RON
Computer science, Algorithms and Programming Course (Montreal)
Mehdi
Mehdi is a great teacher, he explains in a way that is very easy to understand and have enjoyed his lessons. Jacob
Review by JACOB
Advanced courses: Physics from high school to university and Advanced Python programming focused on efficiency. (in French) (Paris)
Join
Dear Join, Thanks a lot for yesterday lessons. My daughter was so happy with your teachings. Edith
Review by EDITH

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