Enter the current computer-science slice through one bounded algorithms-and-search branch where visible list work now widens into one shared graph-traversal bench without leaving the product's simulation-first architecture.
Computer Science is still intentionally compact, but it now has more than a two-concept pilot. This subject frames one coherent algorithms-and-search branch so sorting, binary search, graph adjacency, BFS, DFS, and visited-state bookkeeping feel native to the same topic, track, guided, and search seams already used elsewhere on the site.
Starter tracks
Start with visible list work, reuse that search language for binary search, and then carry the branch into one live graph bench for adjacency, BFS, DFS, and visited-state behavior.
Starts with Sorting and Algorithmic Trade-offs across 6 concepts.
Topics
Use one bounded CS branch where visible list work grows into one coherent graph-traversal bench, so sorting, binary search, adjacency, BFS, DFS, and visited-state behavior stay on compact live surfaces.
Sorting trade-offs is still the cleanest first concept here.
Best first concepts
Watch sorting as visible work on a live list so input order, comparisons, and writes stay concrete instead of collapsing into one final answer.
Keep an ordered list, the low-mid-high markers, and the shrinking interval visible together so binary search feels visual instead of procedural.
Keep one live graph, one local neighborhood, and one frontier cue visible together so graph structure feels readable before traversal rules get formal.
Keep the queue frontier, visited count, and graph layers visible together so breadth-first search reads as a layered process instead of a procedure list.
