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Introduction to algorithmics course

Introduction to algorithmics course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Gain practical skills in designing correct algorithms via a library system example. Master precise pseudocode, flowcharts, data modelling with lists, sets, and records, edge case handling, Big-O complexity analysis, plus testing and documentation for reliable operations.

Elevify advantages

Develop skills

  • Algorithmic modelling: Convert real-world processes into clear, testable steps quickly.
  • Pseudocode and flowcharts: Create language-independent logic for strong systems.
  • Data structures basics: Handle persistent data using lists, sets, and records.
  • Complexity analysis: Use Big-O to assess and compare basic algorithms.
  • Testing and robustness: Address edge cases, errors, and validation effectively.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

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Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
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