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
Debugging
Project help
Upskilling
Assignment help
Homework help
Code Review
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
High School students
Elementary School students
Middle School students
College 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 homework on character shifting using Unicode and finding the maximum value in an array. They then worked on new Python programming problems, including removing duplicates from a list using sets, processing and flattening lists of lists from user input, finding the second largest distinct value using both an iterative algorithm and a Pythonic approach, and merging two already sorted lists efficiently.
Caesar Cipher Character Shifting
Unique Elements with Python Sets
Finding the Second Largest Distinct Value
Merging Two Already Sorted Lists
The Student and Tutor reviewed advanced vector homework problems, focusing on orthogonal components, linear combinations, and spans. The session then introduced fundamental concepts of matrices, including their definitions, dimensions, entry notation, and special types such as square, diagonal, identity, and triangular matrices. Basic operations like matrix addition, scalar multiplication, and matrix transpose were also covered, with a brief discussion on symmetric and skew-symmetric matrices. The Tutor assigned homework on initial matrix problems, and the next session was scheduled for once a week, on Thursday.
Matrix Fundamentals: Definition
Dimensions
and Entries
Matrix Equality and Basic Operations
Special Matrix Types
Matrix Transpose (Aᵀ)
Symmetric and Skew-Symmetric Matrices
Student and Tutor engaged in an exam session covering physics concepts from chapters 3-6. They reviewed short-answer questions, confirming understanding of concepts like forces, motion, and orbital mechanics, and discussed problem-solving approaches. The plan involves the student undertaking a self-review of all relevant material before the next class, followed by a guided review and another moderate exam.
Fundamental Forces: Gravity and Normal Force
Orbital Period and Altitude
Independence of Projectile Motion Components
Maximum Safe Speed on Unbanked Curves
Mass vs. Weight Distinction
Friction and Motion Initiation
The Student participated in a diagnostic Geometry session with the Tutor, assessing foundational knowledge in angle types, geometric figures, triangle classification, and the Pythagorean theorem. They discussed a 14-week curriculum roadmap, highlighting the importance of building strong foundations, visualization, and regular quizzes. The Tutor recommended two 2-hour sessions per week to ensure comprehensive coverage and practice, and they began coordinating future scheduling with the Student and their mother.
Sum of Interior Angles of a Triangle
Angle Classification
Angle Relationships
Basic Geometric Lines & Segments
Triangle Classification
Pythagorean Theorem
The Student and Tutor worked on transitioning from C++ to Python, focusing on fundamental syntax, data types, control flow, string manipulation, lists, and function definitions. The Student practiced converting C++ concepts to Python syntax through tracing problems and coding exercises. Homework was assigned, including specific coding problems related to functions and loops.
Python Control Flow: Conditionals and Loops
Defining and Using Functions
String & List Manipulation
Dynamic Typing & Basic Data Handling
Python Mindset & Fundamental Syntax
The Tutor and Student began by reviewing previous homework and practice problems related to vector operations, dot products, norms, and angles. The session then introduced new academic concepts: vector projection, perpendicular components of vectors, and the span of a set of vectors. The Student practiced applying these new formulas and concepts through several examples, and new homework was assigned to reinforce the covered topics.
Vector Dot Product & Orthogonality
Vector Projection
Vector Decomposition: Perpendicular Components
Span of a Set of Vectors
Teaching tools used by tutor
PyCharm
Jupyter Notebook
Git & GitHub
Google Colab
Visual Studio Code
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Every tutor is interviewed and selected for subject expertise and teaching skill.