Introduction to algorithmics course
This course builds algorithmic thinking using a library system example. You will master pseudocode writing, flowchart creation, basic data structures like lists, sets, and records, Big-O analysis, edge-case management, error handling, and testing practices to develop robust, efficient algorithms suitable for real-world tech projects and maintainable systems.

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.What our students say
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