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Introduction to algorithmics course

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

What will I learn?

This course offers a straightforward, hands-on guide to crafting reliable algorithms, using a library system as the key example. You'll master writing clear pseudocode, creating flowcharts, modelling data with lists, sets, and records, tackling edge cases and errors, assessing time complexity via Big-O notation, and developing tests plus documentation for dependable, easy-to-maintain operations.

Elevify advantages

Develop skills

  • Algorithmic modelling: Convert real-world tasks into precise, testable steps quickly.
  • Pseudocode and flowcharts: Craft language-independent logic for sturdy systems.
  • Data structures fundamentals: Handle ongoing data using lists, sets, and records.
  • Complexity analysis: Use Big-O to assess and rank basic algorithms.
  • Testing and robustness: Address edge cases, errors, and validation clearly.

Suggested summary

Before starting, you can change the chapters and the 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

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
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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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Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
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André FelipePrompt Engineering Student

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