Tutorials Data Structures and Algorithms in C#
Activity Selection
Activity Selection: free step-by-step lesson with examples, common mistakes, and interview tips — part of Data Structures and Algorithms in C# on Toolliyo Academy.
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Data Structures and Algorithms in C# · Lesson 92 of 120
Activity Selection
Foundations & Arrays ✓ → Lists, Hash, Trees ✓ → Graphs & DP ✓ → Advanced & Projects
Advanced & Projects · 4 — Ship · ~10 min · Greedy and Backtracking
What is this?
Activity Selection practices greedy decisions or exhaustive search with pruning.
Why should you care?
Some problems need local choices; others need search trees.
See it live — copy this example
Run snippets in a .NET console app, LINQPad, or https://dotnetfiddle.net. Write Big O above every solution.
// Activity Selection
// Greedy: sort + pick
// Backtracking: choose/explore/unchoose
What happened?
- Prove greedy stays safe, or bound the backtracking tree.
- Follow the steps below — typing the code yourself is the fastest way to learn.
Practice next
- Type the snippet in a C# console or LINQPad.
- Write Big O on top of your solution.
- Test empty / single-element edge cases.
- Add a failing test then fix it.
- Rename variables to domain words.
Remember
You can code a small C# example for Activity Selection. You know the complexity class. You tested at least one edge case.
Activity Selection drill
AlgoVerse interview prompt on activity selection.
Outcome: You recognize the pattern and ship a correct C# sketch.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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