Computer Science · Senior secondary computing courses, undergraduate computer science degrees, bootcamps and preparation for technical interviews.
Learn Computer Science with a visual teacher
Ask "Why does quicksort beat bubble sort on long lists?" and a 1:1 AI teacher plans the lesson, explains it out loud while it visualizes each step, and checks you got it, in 26 languages.
The subject
What is Computer Science?
Computer Science is the study of computation: how problems are expressed as algorithms, how data is organised, and how programs and machines carry out instructions. Studying it means learning to program, analysing the efficiency of algorithms, understanding data structures, and seeing how operating systems, networks and databases fit together. It is both mathematical and practical, and it builds the thinking behind every piece of software you use.
Where it is studied: Senior secondary computing courses, undergraduate computer science degrees, bootcamps and preparation for technical interviews.
Why pictures
Why Computer Science is taught visually
Code is text, but understanding it is visual: a linked list being re-pointed, a recursion tree unfolding, a stack growing and shrinking during a call, memory layouts, a state machine, packets moving through network layers. Watching an algorithm traced on a drawn array explains what the code only hints at.
The tutor draws the picture as it speaks, one idea at a time, and answers your doubt on the same picture when you interrupt.
Topics
What Computer Science covers, topic by topic
- Binary search
- Sorting algorithms
- Recursion
- Big-O notation
- Linked lists and stacks
- Binary trees
- Breadth-first and depth-first search
- Dynamic programming
- Hash tables
- Object-oriented programming
- SQL joins
- How the internet works
- TCP/IP and HTTP
- Cryptography and RSA
- Neural networks
- Gradient descent
- Boolean logic and logic gates
- Operating systems and processes
- Python loops and functions
- Pointers in C
- Compilers and interpreters
- Version control with git
- Machine learning basics
- Finite automata
- Dijkstra's shortest path
- Database normalisation
- Programming fundamentals
- Python
- Data structures
- Algorithms
- Object-oriented design
- Operating systems
- Databases and SQL
- Computer networks
- Theory of computation
- Software engineering
A starting point, not a limit: name any topic in Computer Science and the tutor plans it.
Ask it anything
Questions learners ask in Computer Science
- What does a pointer really point to in memory?
- How does recursion know when to stop?
- Why does a hash table give constant-time lookups?
Questions
Asked, Answered
Can an AI visual teacher trace through my code?
Yes. Upload a screenshot or paste the code, and the tutor draws the variables, the call stack or the data structure and walks through the execution step by step. You can stop at any line and ask what changed and why.
Does it teach concepts or just fix bugs?
It teaches. If you ask about a bug, it explains the concept behind it, such as how references work or why a loop boundary matters, with a drawing, then asks a checkpoint question. You can request a different explanation if the first does not click.
Can I prepare for computer science exams with it?
Ask it to teach any syllabus topic, from Boolean algebra to normalisation, in your chosen language. Verified courses give a structured path, and the Tests section provides server-graded questions from a question bank and AI-made tests so you can practise under exam-style conditions.
Last updated
Computer Science, Starting now.
Any topic in the subject, at your level, in your language. The Free plan needs no card.