Design and Analysis Of Algorithms Course
4.3/5
Master core algorithm design for engineering: build fast search indexes, optimise backend performance, choose the right data structures, and benchmark, profile, and deploy high-performance systems that scale to real-world production loads. This course equips you with practical skills to create efficient, reliable systems handling large datasets.

4.3 in rating
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
The Design and Analysis of Algorithms Course provides practical tools to build faster, more reliable systems. Learn efficient exact-match search using hash tables and tries, master complexity analysis, and design high-performance sorting for large data flows. Explore frequent-itemset and co-occurrence algorithms, then connect it all with profiling, testing, deployment, and clear, implementation-ready pseudocode.
Elevify advantages
Develop skills
- Exact-match indexing: build fast hash and trie lookups for 20k+ records.
- Backend complexity: analyse Big O, amortised costs, and real-world tradeoffs.
- High-speed sorting: pick and tune optimal sorts for large engineering datasets.
- Co-occurrence mining: implement scalable top-k and frequent-itemset algorithms.
- Production-ready code: profile, test, and deploy algorithmic services safely.
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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