Introduction to algorithmics course
Gain mastery in algorithmic thinking via a realistic library system example. Develop skills in pseudocode, flowcharts, basic data structures, Big-O analysis, edge-case management, and testing to build robust, efficient algorithms for practical technology projects in everyday scenarios.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course provides a practical guide to designing correct algorithms, using a library system example. Learn precise pseudocode, flowcharts, data modelling with lists, sets, and records, edge case handling, Big-O complexity analysis, and reliable testing and documentation for maintainable 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.
- Basic data structures: Handle persistent data using lists, sets, and records.
- Complexity analysis: Use Big-O to assess and compare straightforward algorithms.
- Testing and robustness: Address edge cases, errors, and validation effectively.
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.What our students say
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