Abdulrahman Magdy
Transform Your Coding: Certified C++ and Java Tutor with 5 Years of Experience Guiding Success from Basics to USACO.
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Abdulrahman Magdy
Bachelors degree
/ 55 min
About your coding tutor - Abdulrahman
I am a dedicated educator with over 5 years of experience specializing in making the complex world of programming—specifically C++, Java, and Python—intuitive and accessible. My approach is defined by a "logic-first" philosophy. I believe that many students struggle not because they lack the ability, but because they are taught syntax before they understand logic. My sessions are designed to reverse that; we focus on "guided discovery" and visualization, ensuring that you understand the underlying architecture of a problem before you write a single line of code. My methodology is rooted in the Feynman Technique. This means I have spent years mastering these subjects to a point where I can explain them in the simplest, most intuitive terms possible. I don't just lecture; I link new programming concepts to knowledge you already possess, making the learning process feel natural rather than forced. Whether I am working with a 6-year-old beginner starting their journey in Python or a graduate-level student tackling advanced C++, I tailor my communication style to match the student’s specific pace and background. My experience as a Teaching Assistant allowed me to refine this approach with dozens of students simultaneously. I specialized in guiding learners through the "debugging mindset"—teaching them how to think like a professional by identifying errors logically rather than through guesswork. This results-driven style has led to significant breakthroughs for my students. For example, I recently helped a Master’s student with no prior programming experience master C++ foundations and complete a high-level computer vision project in just four lessons.
Meet Abdulrahman
Coding tutor specialities
Competitive Programming
Upskilling
Code Review
Code Optimization
Assignment help
Homework help
CoTutorAI modules
Summary
Podcast
Quiz
Learnings
Flashcard
Spotlight
Zero Risk Guaranteed
15-days refund
Free tutor swap
No cancel fee
1-yr validity
24/7 support
Learner types for coding classes
Coding for beginners
Coding for kids
Coding for advanced
Coding for adults
Coding for intermediate
Rated 5 stars consistently
Students appreciate how lessons simplify complex coding concepts.
100% on-time college submissions
Students meet deadlines with tutor support.
Proven success with code projects
85% of students complete personal projects in a few months.
Abdulrahman - Coding tutor also teaches
C++
Java
Python
Coding concepts taught by Abdulrahman
Student and Tutor reviewed advanced friction problems from Chapter 5, focusing on force analysis, static vs. kinetic friction, and inclined planes. The session then introduced Chapter 6 on rotational motion, defining key terms like angular displacement, velocity, acceleration, period, and frequency, and practicing initial calculations. The Tutor assigned homework on Chapter 5 friction problems.
Static vs. Kinetic Friction
Normal Force on a Flat Surface with Angled Applied Force
Period (T) and Frequency (f) in Rotational Motion
Angular Velocity (ω) and its Relation to Linear Velocity (v)
Introduction to Rotational Motion
Normal Force on an Inclined Plane
Angular Displacement (θ) and its Relation to Linear Displacement (s)
Student and Tutor reviewed a detailed research assignment on applying supervised learning for solar power prediction, based on a provided academic article and independent research. The discussion covered the assignment's requirements, including algorithm analysis, data quality, and addressing real-world data challenges. The Tutor committed to reviewing the article to better guide the Student, who was also encouraged to start reading it.
Challenges of Real-World Environmental Data
Comparative Analysis in Research
Data Quality & Preprocessing in Real-World ML
Deconstructing Complex Research Assignments
Supervised Learning for Solar Power Prediction
The Student and Tutor reviewed several physics problems related to forces, friction (static and kinetic), acceleration, and inclined planes. They practiced applying Newton's second law and equilibrium equations to complex scenarios involving cars, massive systems, and a climber on a cliff. The Student was assigned problem 19 as homework, which involves a similar setup to problem 18.
Dynamic Systems with External Forces on Inclines
Static Equilibrium
Vector Components
and Minimum Friction
Friction on Inclined Planes
Coupled Systems and Coupling Forces in Horizontal Motion
The Student and Tutor engaged in a detailed discussion covering foundational concepts in Artificial Intelligence and Machine Learning, including the distinctions between AI, ML, and Deep Learning. They reviewed core data mining techniques, the characteristics of Big Data (the Five Vs), and several machine learning algorithms such as Regression Analysis, Decision Trees, K-Means Clustering, and Naive Bayes, while completing associated lab exercises. For future sessions, they planned to review a significant project assignment.
AI
Machine Learning
and Deep Learning Hierarchy
Data Mining: Core Techniques and Process
Big Data: Characteristics (The Five Vs)
Supervised vs. Unsupervised Learning
Regression Analysis: Predicting Continuous Values
Decision Trees: Structured Decision-Making
Student and Tutor continued practicing problem-solving in Physics, focusing on forces, friction, and acceleration. They worked through several problems involving static and kinetic friction, inclined planes, and vector addition. Student was assigned one homework problem to complete before their next session.
Friction Fundamentals: Static vs. Kinetic
Calculating Net Force and Acceleration
Conditions for Slipping and Maximum Static Acceleration
Tension and Coupling Forces in Multi-Object Systems
Vector Addition for Perpendicular Forces
Dynamics on Inclined Planes: Acceleration & Constant Velocity
The Student and Tutor engaged in a comprehensive Mathematics session covering several topics, including data analysis (ratios and proportions), evaluating scientific claims, and extensive work on geometry and trigonometry (area, volume, circles, lines, angles, and triangles). The Student practiced solving multiple problem sets, with the Tutor providing clarifications on key concepts, formulas, and specific problem-solving strategies. Several remaining problems from the lines, angles, and triangles section were set aside for discussion in the next session.
Geometric Scale Factors in Area
Circle Properties from Three Points
Similar Triangles: Perimeter and Side Ratios
Geometric Volume Formulas & Calculations
Evaluating Statistical Claims
Approach & tools used by coding tutor
Visual Studio Code
Google Colab
Jupyter Notebook
PyCharm
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