Computer Science
The academic bedrock of software engineering. Logic, data, and complexity.
01
Algorithms & Complexity
Master Big O analysis and the science of optimal problem solving.
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Why this matters
Algorithms are the tools you use to manipulate data with predictable performance markers.
Key Topics
- Big O Notation
- Sorting & Searching
- Recursion
- Dynamic Programming
Actionable Guide
Fulfill the classic "N-Queens" problem using a recursive backtracking strategy.
02
Data Structures
Linked Lists, Hash Tables, and Trees. The containers of logic.
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Why this matters
Choosing the right structure is the difference between an O(1) and an O(n) operation.
Key Topics
- Linked Lists
- Binary Search Trees
- Hash Tables
- Graphs & Traversal
Actionable Guide
Implement a custom Graph structure in JS and traverse it using Breadth-First Search.
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Foundations Solidified
You now possess the theoretical depth of a senior systems architect.
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