STEM / applied
Data structures · Undergraduate · CS / Programming
Topics
Implementation and applications
- Implementing ADTs in C++, Java, or Python with memory/performance tradeoffs
- Graph adjacency lists vs matrices for sparse/dense graphs
- Union–find (disjoint set) for connectivity problems
- Caching and LRU-style eviction (conceptual)
- Benchmarking structures on real datasets
Systems connections
- Memory layout: pointers, references, and object overhead
- Serialization of structures for storage and networking
- Concurrent data structures overview (locks, concurrent maps)
- Choosing structures for pipeline and ETL workloads
- Debugging memory leaks and invalid references
Pricing calculator
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$1,162 · Data structures · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.