Third Semester · BCA 201
Data Structure and Algorithms Notes
A dedicated BCA World study page for this subject, aligned to the TU BCA 2025 curriculum units.
How to study this subject
For each unit, learn the definition, understand the process, practise one example, and finish by explaining the concept in your own words. Use the model questions after completing the unit notes.
Unit-by-unit notes
01
Algorithm analysis, asymptotic notation, and recursion
Revise the definition, components, workflow, common examples, and practical use of algorithm analysis, asymptotic notation, and recursion. Relate it to a small problem or case study from Data Structure and Algorithms.
- Define the key terms and identify the main components.
- Draw or describe the workflow, architecture, formula, or process where relevant.
- Connect the idea to a practical BCA example and revise common advantages or limitations.
02
Arrays, linked lists, stacks, queues, and priority queues
Revise the definition, components, workflow, common examples, and practical use of arrays, linked lists, stacks, queues, and priority queues. Relate it to a small problem or case study from Data Structure and Algorithms.
- Define the key terms and identify the main components.
- Draw or describe the workflow, architecture, formula, or process where relevant.
- Connect the idea to a practical BCA example and revise common advantages or limitations.
03
Trees, binary search trees, heaps, and balanced trees
Revise the definition, components, workflow, common examples, and practical use of trees, binary search trees, heaps, and balanced trees. Relate it to a small problem or case study from Data Structure and Algorithms.
- Define the key terms and identify the main components.
- Draw or describe the workflow, architecture, formula, or process where relevant.
- Connect the idea to a practical BCA example and revise common advantages or limitations.
04
Graphs, traversals, shortest paths, and spanning trees
Revise the definition, components, workflow, common examples, and practical use of graphs, traversals, shortest paths, and spanning trees. Relate it to a small problem or case study from Data Structure and Algorithms.
- Define the key terms and identify the main components.
- Draw or describe the workflow, architecture, formula, or process where relevant.
- Connect the idea to a practical BCA example and revise common advantages or limitations.
05
Searching, sorting, hashing, and complexity comparison
Revise the definition, components, workflow, common examples, and practical use of searching, sorting, hashing, and complexity comparison. Relate it to a small problem or case study from Data Structure and Algorithms.
- Define the key terms and identify the main components.
- Draw or describe the workflow, architecture, formula, or process where relevant.
- Connect the idea to a practical BCA example and revise common advantages or limitations.
Model questions for BCA 201
Short answerDefine algorithm analysis, asymptotic notation, and recursion and mention two important uses.
Define algorithm analysis, asymptotic notation, and recursion and mention two important uses. Answer using a definition, structured explanation, relevant example, and conclusion.
Long answerExplain arrays, linked lists, stacks, queues, and priority queues with a suitable diagram, example, or step-by-step method.
Explain arrays, linked lists, stacks, queues, and priority queues with a suitable diagram, example, or step-by-step method. Answer using a definition, structured explanation, relevant example, and conclusion.
Practical / applicationApply trees, binary search trees, heaps, and balanced trees to solve a small Data Structure and Algorithms problem. State your assumptions and conclusion.
Apply trees, binary search trees, heaps, and balanced trees to solve a small Data Structure and Algorithms problem. State your assumptions and conclusion. Answer using a definition, structured explanation, relevant example, and conclusion.