Abdulrahman Magdy
Computer Science Tutor: AI, Machine Learning, Data Structures, Algorithms & Coding for All Levels
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Abdulrahman Magdy
Bachelors degree
/ 55 min
Abdulrahman - Know your tutor
I am a dedicated and experienced Computer Science tutor with a strong academic background in Communication and Information Engineering, currently ranked at the top of my class. My technical foundation spans Artificial Intelligence, Machine Learning, Databases, and core Computer Science fundamentals, and I bring that depth into every lesson I teach. Over the years, I have tutored students at every level, from those writing their very first lines of code to advanced learners working through algorithms, data structures, and competitive programming challenges like USACO. I have guided students through topics such as prefix sums, BFS/DFS, greedy algorithms, Union-Find, and 2D geometry, always breaking complex ideas down into clear, manageable steps. My teaching style is built around active problem-solving rather than passive listening. I provide fully commented solutions, tiered hints that let students struggle productively before getting unstuck, and bug-analysis sessions framed as guiding questions so students learn to debug independently rather than just receiving the answer. I also create custom homework assignments, practice exams, and diagnostic assessments tailored to each student's curriculum and pace. Whether you are a complete beginner trying to understand your first "Hello World" program, a student preparing for AP Computer Science or a competitive programming contest, or someone aiming to build real project and job-readiness skills, I focus on building genuine understanding, not just getting through the syllabus. I am patient, detail-oriented, and committed to helping every student reach their goals with confidence.
Meet Abdulrahman
Programming tutor specialities
Homework help
Exam prep
Paired coding
Debugging
Assignment help
Upskilling
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 for programming class
Elementary School students
High School students
College students
Middle School students
Rated 5 stars consistently
Students appreciate how lessons simplify complex coding concepts.
Project-based learning for real-world skills
90% of students complete relevant coding projects.
Flexible lesson scheduling
90% of students find it easy to schedule lessons.
Your programming tutor also teaches
Artificial Intelligence
Computer Science
Databases
Machine Learning
Computer Science concepts taught by Abdulrahman
The Student and Tutor reviewed challenging vector problems from homework, focusing on calculating unknown vector components and resultants. They then practiced foundational vector addition and displacement problems before delving into a comprehensive introduction to projectile motion, its real-world applications, and the relevant kinematic equations for horizontal and vertical components. The session concluded with the Student beginning to solve a multi-part projectile motion problem.
Systematic Approach to Solving Projectile Motion Problems
Projectile Motion: Decoupling 2D into Independent 1D Kinematics
Fundamental Kinematic Equations (1D Recap)
Independence of Motion and Vector Representation
Vector Component Analysis in 2D
Student and Tutor reviewed homework on vector component calculations and angle determination. The session focused on mastering quadrant rules for vectors, accurately assigning positive and negative signs to components, and reconstructing vectors from their components to find magnitudes and standard angles. Homework included further practice on vector addition and subtraction, including a challenge problem with three vectors.
Vector Components & Quadrants
Finding Vector Components (Magnitude & Angle to Components)
Reconstructing Vectors (Components to Magnitude & Angle)
Vector Addition and Subtraction by Components
The Student and Tutor reviewed diagnostic test questions on Newton's laws and basic mechanics. The session then focused on introducing Chapter 3, covering two-dimensional motion, the independence of motion components, and methods for vector addition and subtraction. The Student practiced using the analytical method to break down and reconstruct vectors. Homework involving Chapter 3 problems was assigned, and the next session was scheduled.
Independence of Motion in Two Dimensions
Critical Calculator Settings for Angles
Reconstructing Vectors from Components
Resolving Vectors into Perpendicular Components
Graphical Vector Addition & Subtraction
Student and Tutor conducted an introductory and diagnostic session for AP Physics. The Student's academic background and goals for taking a high-level physics course were discussed. A diagnostic test covering foundational kinematics, Newton's laws, graph interpretation, and basic problem-solving was completed to assess understanding. The session concluded with a review of the curriculum roadmap and a plan for a thrice-weekly tutoring schedule to get ahead before school starts.
Interpreting Motion Graphs
1D Kinematic Equations
Scalar vs. Vector Quantities
Acceleration: Change in Speed OR Direction
Newton's First Law and Free Body Diagrams
Acceleration due to Gravity & Free Fall
The session began by introducing Object-Oriented Programming (OOP) concepts in C++, covering classes, objects, data hiding, and the use of private/public access specifiers, along with setters and getters for data protection. The Student and Tutor then transitioned to a competitive programming problem, practicing the two-pointers technique on a sorted array to find pairs with a target sum. They collaboratively debugged the Student's approach and refined the implementation of the two-pointers method.
Object-Oriented Programming (OOP) Fundamentals
Classes: Blueprints for Objects
Data Hiding & Access Control with `private` and `public`
Setters
Getters
and Validating Input
Scoping and Variable Resolution in Classes
The Student and Tutor continued practicing C++ string manipulation by solving several programming problems. They covered finding substrings, replacing placeholders, trimming trailing spaces, and converting Excel column names to numbers. The Tutor assigned further work on the Excel column conversion problem, specifically addressing data type limitations and scaling issues, as homework for the next session.
Understanding `std::string::find()` and `std::string::npos`
Dynamic String Replacement and Robust Error Handling
Efficient and Safe Trimming of Trailing Whitespace
Number Formatting with String Manipulation (Comma Insertion)
Base-26 Conversion: Spreadsheet Column Indexing
Teaching tools used by tutor
PyCharm
Google Colab
Jupyter Notebook
Visual Studio Code
Git & GitHub
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