LINKED LIST | DATA STRUCTURE | LECTURE 02 BY MS. HARNIT SAINI | AKGEC

LINKED LIST | DATA STRUCTURE | LECTURE 02 BY MS. HARNIT SAINI | AKGEC

Title history
  • LINKED LIST | DATA STRUCTURE | LECTURE 02 BY MS. HARNIT SAINI | AKGEC — observed on 20261103-1138 UTC (YouTube)

by Harnit Saini · View the channel on PSI

Formal & Physical Sciences Computing & Cybersecurity UMComputer programmingUMBAlgorithms and data structures
🎙 Harnit Saini 👥 23K 📅 November 2, 2026 ⏱ 17 min 👁 11 📄 tutorial 🧭 2026-11-03
Available in: English (current) Français

Keywords

linked listdata structurenodepointersingly linked list

Summary

This lecture from AKGEC Digital School introduces the concept of linked lists in data structures. The instructor, Ms. Harnit Saini, explains that a linked list is a linear collection of nodes where each node contains data and a pointer to the next node. She contrasts this with arrays, highlighting dynamic memory allocation and efficient insertion/deletion as key advantages. The lecture covers several types of linked lists: singly linked, doubly linked, circular, and header linked lists, each with diagrams and structural explanations. It then discusses memory representation, noting that linked lists can use scattered memory locations. The main operations—traversal, insertion, and deletion—are explained with algorithms and step-by-step examples, including insertion at the beginning, end, and at specific positions, as well as corresponding deletion cases. The presentation is clear but remains introductory, suitable for undergraduate students new to data structures.

138 words

Critical Evaluation

Value of the Information & Strength of the Argument

The lecture provides a solid foundation for understanding linked lists, with clear explanations of node structure and pointer mechanics. The argumentation is logical: it starts with definitions, contrasts with arrays, then presents types and operations. The use of diagrams and step-by-step examples effectively illustrates how pointers are manipulated during insertion and deletion. However, the presentation is primarily descriptive rather than analytical, lacking deeper algorithmic analysis or complexity considerations (e.g., time/space complexity). The value lies in its pedagogical clarity for beginners, but it does not offer novel insights or rigorous proof.

Scientific Rigor, Source Quality, Title Accuracy

The content is based on standard computer science fundamentals and appears accurate. No external sources are cited beyond the institution’s website, and the lecture relies on the instructor’s expertise. The title accurately describes the content, and the lecture is well-aligned with typical data structures curricula. There is no explicit discussion of sources or scientific rigor, but the presentation is consistent with established knowledge. No comments were provided for analysis, so public feedback cannot be assessed.

180 words

Title / Content Match

Title accurately reflects content: a lecture on linked lists as part of a data structures course.

Quality & Reliability

7/10

Clear and accurate introductory lecture on linked lists, covering definitions, types, and basic operations. However, depth is limited and no external references are provided, making it suitable for beginners but not a rigorous scientific source.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

Concurring Sources

Contribution & Novelties

This lecture offers a standard introduction to linked lists, adding value for students through clear visual explanations and step-by-step operation algorithms. Its novelty is limited to pedagogical presentation; no new research or advanced concepts are introduced. For deeper exploration, consider these resources.

Pour aller plus loin :

77 words

Radar Profile

The radar profile shows balanced scores with a slight dip in technical depth, reflecting the introductory nature of the lecture. It performs well on quality and reliability but lacks advanced complexity.

Reliability 7/10