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B.Eng DegreeFaculty of Faculty of Engineering & TechnologySoftware Engineering

SWE 201: Data Structures and Algorithmic Analysis

Comprehensive design, implementation, and empirical/theoretical analysis of data structures. Stacks, queues, linked lists, balanced search trees (AVL, Red-Black trees, B-Trees), heaps, hash tables with collision resolution strategies, disjoint sets, ...

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created_by PAMCET Learning Team
beginner1 weekEnglish

Course Overview

Comprehensive design, implementation, and empirical/theoretical analysis of data structures. Stacks, queues, linked lists, balanced search trees (AVL, Red-Black trees, B-Trees), heaps, hash tables with collision resolution strategies, disjoint sets, ... Curriculum Structure &...

What You'll Learn

  • Implement dynamic, memory-efficient data structures (balanced trees, hash maps, heaps) from first principles.
  • Prove asymptotic bounds and calculate amortized time complexity using potential and aggregate methods.
  • Select optimal data structures tailored to specific memory constraints and throughput requirements.
  • Solve complex engineering optimization problems using dynamic programming and greedy strategies.
  • Formulate and implement efficient graph traversal and shortest-path routing algorithms.

Requirements

  • SWE 102
  • SWE 103

Degree Programme Curriculum Context

This course is a curriculum unit of the Bachelor of Engineering (B.Eng.) in Software Engineering degree framework in Nigeria.

Earn Your Certificate

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Course Curriculum

Open-access academic curriculum. All foundational lectures available to read free.

8 Chapters
0 Lecture
0s

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Instructor

PAMCET Learning Team

PAMCET Learning Team

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SWE 201: Data Structures and Algorithmic Analysis
Free

Course Includes

8 Chapters
0 Lectures
1 week
Skill Level beginner
Taught in English
Lifetime Access
Certification of Completion
Category: University - Software Engineering
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SWE 201: Data Structures and Algorithmic Analysis | PAMCET University — B.Eng | PAMCET