UCS301 · Data Structures · C++17
Learn DSA visually.Build every structure inC++.
A complete second-year course companion with plain-language explanations, operation-by-operation visuals, complexity analysis, working C++17 code, practice, and viva answers.
No compiler installed yet?Set up and verify C++17
One click · Dijkstra’s algorithm
Which route from A to E is actually cheapest?
The most direct-looking option costs 12.
Dijkstra expands the cheapest unfinished route first.
WATCH IT EXECUTE.
READ THE ALGORITHM.
Understand
Learn the rule and when the structure is useful.
Trace
Watch every value and pointer change one step at a time.
Implement
Write the complete C++17 version and test edge cases.
01 / Course index
One syllabus.
Eight sections.
Follow the order for a complete pass, or jump directly to the structure you need.
Algorithm Analysis
Measure how algorithms scale, compare growth rates, and reason about time, memory, and computational sustainability.
Linear Data Structures
Store and process ordered data with arrays, strings, linked structures, stacks, queues, and hash tables.
Searching
Locate values efficiently with sequential scans, divide-and-conquer, and binary-search boundary patterns.
Sorting Algorithms
Rearrange data using elementary, divide-and-conquer, distribution, and external sorting techniques.
Trees & Applications
Represent hierarchy and ordered data with binary trees, search trees, self-balancing trees, and multiway trees.
Heaps & Priority Queues
Maintain the most urgent element efficiently with complete binary heaps and priority queues.
Graphs & Applications
Model networks, routes, dependencies, and connectivity using traversal, shortest-path, MST, and disjoint-set algorithms.
Spatial Data Structures
Index two-dimensional regions for geographic queries, urban planning, environmental monitoring, and waste management.
02 / Workbench
Study with the right surface.
No feature tour. Pick what the next thirty minutes are for.
Visual lab
Step through sorting, searching, stacks, queues, trees, BFS, and DFS.
Run an algorithm02C++ toolkit
STL choices, iterators, comparators, complexity guarantees, and common implementation traps.
Open reference03Set up C++17
Install a compiler, configure VS Code, verify C++17, and fix common environment errors.
Install and verify04Practice bank
Problems arranged by structure, technique, difficulty, and expected complexity.
Solve a problem05Complexity sheet
Compare operation costs without searching through eight different chapters.
Compare costs06Laboratory roadmap
Implementation sequence, edge cases, expected output, and viva checkpoints.
Enter the lab03 / Course outcomes
What you should be able to do.
- CLO 1Implement fundamental data structures and explain their invariants.
- CLO 2Select searching and sorting techniques from input and performance constraints.
- CLO 3Apply tree and graph algorithms to structured real-world problems.
- CLO 4Analyse time, space, and computational overhead before choosing a solution.
Efficiency is also a sustainability decision: fewer operations, better locality, and appropriate routing structures reduce compute, memory traffic, and energy use.