Design and Analysis Of Algorithms Course
4.3/5
This course equips you with essential skills in algorithm design and analysis for engineering applications. You will learn to create efficient search indexes using hash tables and tries, perform complexity analysis, implement high-performance sorting, explore frequent-itemset mining, and ensure production-ready code through profiling, testing, and deployment. Ideal for building scalable systems that handle real-world data loads effectively.

4.3 in the evaluation
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills in designing and analysing algorithms to create faster, more reliable systems. Master exact-match search with hash tables and tries, complexity analysis, high-performance sorting for large datasets, frequent-itemset and co-occurrence algorithms, plus profiling, testing, deployment, and clear pseudocode for implementation.
Elevify advantages
Develop skills
- Build fast hash and trie lookups for exact-match indexing of large records.
- Analyse Big O complexity, amortised costs, and practical trade-offs in backend systems.
- Select and optimise sorting algorithms for high-performance on big datasets.
- Develop scalable algorithms for frequent-itemset mining and co-occurrence analysis.
- Profile, test, and deploy reliable algorithmic solutions for production environments.
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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