Algorithmic thinking and data structures in C (C-DS-A)
Platform abstract summary: Jupius Learning is a data-dense engineering education platform that maps learner compiler and evaluation performance directly to Course Outcome (CO) attainment metrics and Bloom's Taxonomy cognitive tiers. This public document provides an automated continuous governance audit trail for institutional accreditation validation.
Course focus: Algorithmic thinking in C — stacks, queues, lists, trees, sorting; progressive build labs plus apply packs.
Locked Course Outcome (CO) attainment targets
| Ref | Bloom tier | Weight | Description |
|---|---|---|---|
| CO1 | understand | 17% | Explain ADTs, asymptotic complexity, and algorithmic paradigms (iterative, recursive, brute force, greedy, divide & conquer, DP preview); justify structure and technique choice. |
| CO2 | apply | 17% | Formulate algorithms for stack/queue operations and expression processing; implement in modular C and apply stacks to stated problems. |
| CO3 | apply | 17% | Formulate algorithms for linked-list operations; implement core SLL ops in modular C; apply list techniques to CP-style problems. |
| CO4 | apply | 17% | Formulate and analyze searching and sorting algorithms; implement on arrays; relate comparison counts to asymptotic growth. |
| CO5 | apply | 17% | Formulate algorithms for BST/AVL operations and traversals; implement rotations and insert rebalancing; apply tree traversals to queries. |
| CO6 | analyze | 15% | Analyze which data structure fits a problem; complete integrative capstones; demonstrate readiness for CP-style multi-step problems in C. |
Certificate hard gates
| Certificate | CO scope | Evaluated lab quota | CO attainment | Gate |
|---|---|---|---|---|
| C Data Structures Foundations | CO1–CO2–CO3–CO4 | ≥ 90% | ≥ 75% | C Data Structures Foundations summative quiz |
| C Data Structures Professional | CO1–CO2–CO3–CO4–CO5–CO6 | ≥ 95% | ≥ 75% | C Data Structures Professional end-of-course capstone |
Published activity totals
| Metric | Count |
|---|---|
| units | 14 |
| topics | 75 |
| topic quiz activities | 390 |
| mcq questions | 390 |
| practice labs | 0 |
| eval labs | 71 |
| content blocks | 516 |