Data Structures and Algorithms for Placements

1–5 day (configurable) 3rd · PG Open to all branches Fits Informatics streams — Degree & Engineering nasscom aligned

Why colleges run this

Data structures and algorithms decide almost every technical interview; a cohort that has solved and defended tracked problems walks into placements measurably ahead.

Course outcomes

CO1
Analyse the time and space complexity of an algorithm using Big-O notation
K4
CO2
Implement the core data structures — lists, stacks, queues, trees, heaps and graphs
K3
CO3
Apply recursion, backtracking and dynamic programming to unfamiliar problems
K3
CO4
Select an appropriate algorithmic strategy for a stated problem constraint
K4
CO5
Solve and defend tracked interview problems under timed conditions
K3

Modules tap a module for its theory & lab

Hours shown are the recommended 5-day format — module time scales to the duration you pick.

01Complexity analysis and arrays5 h
Theory
Big-O, time and space cost, arrays, two-pointer, sliding window
Lab
Solve and time array problems, plotting measured growth
Output
Complexity worksheet + solved set
02Strings and hashing5 h
Theory
Pattern matching, frequency maps, prefix techniques
Lab
String and hashing problem drills
Output
Solved string problem set
03Linked lists, stacks and queues5 h
Theory
Pointer manipulation, monotonic stacks, queue patterns
Lab
Implement each structure from scratch, then apply it
Output
Structure library
04Recursion and backtracking5 h
Theory
Recursion, subsets, permutations, pruning
Lab
Backtracking problem drills
Output
Solved backtracking set
05Trees and binary search trees5 h
Theory
Traversals, balancing, lowest common ancestor
Lab
Tree construction and traversal problems
Output
Solved tree set
06Heaps and greedy5 h
Theory
Priority queues, interval scheduling, greedy proofs
Lab
Greedy and heap problem drills
Output
Solved greedy set
07Graphs5 h
Theory
Representations, BFS, DFS, shortest paths, topological sort
Lab
Graph traversal and path problems
Output
Solved graph set
08Dynamic programming and mock interviews5 h
Theory
One- and two-dimensional DP, live interview simulation
Lab
DP drills then a timed mock interview
Output
Solved DP set + interview feedback

Every participant receives

Certificate of completion Course material LMS access Interview question bank Mock interview & viva practice Optional nasscom NSQF assessment

Designed by

VK
Venkat KurelaFounder & Director, Kurela Cognisive Private Limited
₹3,200per student · 5 days
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