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Discover the Best Private Computer science Classes in Islington

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 Islington, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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15 computer science teachers in Islington

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15 computer science teachers in Islington

Trusted teacher: With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world. Expertise & Teaching Areas: ✅ Programming & Software Development: Python, Java, C++ ✅ Cybersecurity: Ethical hacking, data protection, network security ✅ Digital Literacy: ICT applications, online safety, cloud computing ✅ Data Science & AI: Data analysis, machine learning fundamentals ✅ Web Development: HTML, CSS, JavaScript Curriculum & Pedagogical Experience: 🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking. 🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development. 🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications. Professional Impact: 📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams. 📌 Developed interactive lesson plans integrating real-world applications of technology. 📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning. 📌 Guided students in project-based learning, including app development and website design. With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.
Computer science · Information technology
Hi, I'm Eman and I just finished studying A-Level Maths, Further Maths, Computer Science and AEA Mathematics from City and Islington College and I will be studying MEng Mathematical Computation at UCL from September 2021. Ever since first being taught maths and sciences I have had a passion for them and love learning more and being able to understand interesting topics. I achieved 14 A* grades at SSC ( Bangladesh's Secondary Completion Qualification, Homologous to GCSE), 9 in GCSE Mathematics, 7 in GCSE English Language, and D*D* in BTEC L2 Computing (Equivalent with 4A* in GCSE) therefore know what is required of students to succeed and have plenty of important revision tips that I want to pass on. I also studied the new A-level curriculum so have up-to-date subject knowledge. Often the maths and computer science feature concepts that are daunting and challenging to understand at first, but through considered and targeted explanations, repetition of crucial ideas (particularly by linking ideas across subjects, one of my favorite revision techniques at GCSE), and consolidation of ideas using past exam questions it is possible to gain a deep understanding that will serve you well through final year exams and beyond. Learning is a unique process and everybody has different ways of learning best, therefore I will aim to adapt tutorials to meet the needs of a particular student. I will always ensure that prior to the tutorial I know what topics the student wishes to cover so that I can prepare materials (e.g. source appropriate past exam questions) and consult the relevant exam board specification so that we cover everything they need to know - there will be no nasty surprises in the exam. A typical tutorial would have the following structure: A starter activity to recap what we covered in the previous week, helping the student to revise as we go along. An explanation of the key ideas we are covering, and a check of how much the student already knows. Then comes real learning! The majority of the lesson will be devoted to covering the necessary content at a pace and level appropriate to the student. Usually, I will verbally explain the topic in an informal conversation with the student before writing notes onto the board for them to copy down (that way they have something to refer back to later). Past exam paper questions as practice. And lastly, if appropriate, how these ideas link to other things they may have covered or are yet to cover. But most importantly, I aim to create a relaxed and fun environment for learning where the student can feel confident in their own abilities and will enjoy the learning process!
Math · Computer science
Meet even more great teachers. Try online lessons with the following real-time online teachers:
Computer science
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(24 reviews)
Adam - Paris, France£23
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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Our students from Islington evaluate their Computer Science teacher.

To ensure the quality of our Computer Science teachers, we ask our students from Islington to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.7 out of 5 based on 91 reviews.

Tutor for Math, Physics, and Mechanical/Material Engineering courses (The Hague)
Reza
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Extremely professional and knowledgeable with any problem that I have had. Reza is always polite, friendly and always shows great patience, which I believe is of the highest importance when learning difficult subjects. I highly recommend him as a teacher!
Review by EDEN
Distance English courses For all levels: ONLINE, TOEIC TOEFL TOESL IELTS (Gabrovo)
Youness
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The first lesson was nice and I appreciate a lot the way Youness manage the lesson I highly recommend him for the patience and the calm... A very nice and postive moment
Review by CHANTAL
Math / Stat / Proba, Physics / Chemistry, and Bio, At Your Place, At My Place, or Remotely (Dilbeek)
Robert
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We are happy with Mr Robert , now we have him frequently for our kids
Review by EUNICE
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