Algorithms & Data Structures
Led by educator
Amara Khan
A 12-week journey from Big-O to balanced trees — created and published on Scope by educator Amara Khan. Every lecture is recorded, transcribed and turned into short clips you can search forever.
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About this
course
Why it exists, and who it's for.
Most people meet algorithms as a wall of notation. This course takes a different path: every idea is introduced through a problem you can feel, then built up until the maths reads like common sense. By week three you'll be reasoning about complexity out loud; by week twelve you'll have the kind of fluency that carries interviews, exams and real engineering work.
Because the whole course runs on Scope, nothing you learn is ever lost. Every lecture is recorded and transcribed, every key moment becomes a short searchable clip, and Scope AI can answer your questions with the exact timestamp from the lecture where Amara explained it. You'll study alongside a cohort, see your progress clearly, and always know what to do next.
What you'll learn
Foundations
How algorithms work, complexity without the fear, and the tools you'll use all term.
Recursion
Base cases, recursive cases and call stacks — made visual, finally.
Sorting
Merge sort, quick sort, and why O(n log n) keeps winning.
Trees & Graphs
The structures behind everything from file systems to friendships.
Revision & Assessment
Past papers, spaced practice and a clear plan for exam week.
Structure
12 weeks · 5 modules
Format
Intermediate · Self-paced
Community
214 learners enrolled