Learning Data Structures in the Generative AI Era (Paperback)

Dinesh C. Verma

ISBN 13: 9798306275451

Published by Independently Published, 2025

About this Item

Paperback. Generative AI has created some significant changes for teaching computer science courses and has rendered many traditional textbooks for undergraduate computer science instruction obsolete. The author ran into this challenge when teaching data structure at a local college. This book is a result of student interaction and lessons learnt from that. This book stakes several new approaches for teaching data structures - it emphasizes the conceptual abstractions underlying data structures as opposed to code that generative AI can create easily, it emphasizes problem solving that forces the student to take creative analysis as opposed to simple problems whose solution is readily available from generative AI tools, and it encourages the student to use generative AI tools at various steps in the book, encouraging them to analyze the correctness of that response. This should provide a new approach for learning and teaching data structures that accommodates the disruption caused by generative AI. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9798306275451

Bibliographic Details

• Title: Learning Data Structures in the Generative AI Era (Paperback)
• Publisher: Independently Published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798306275451
• Binding: Paperback
• Condition: new

About this title

Synopsis

Generative AI has created some significant changes for teaching computer science courses and has rendered many traditional textbooks for undergraduate computer science instruction obsolete. The author ran into this challenge when teaching data structure at a local college. This book is a result of student interaction and lessons learnt from that. This book stakes several new approaches for teaching data structures – it emphasizes the conceptual abstractions underlying data structures as opposed to code that generative AI can create easily, it emphasizes problem solving that forces the student to take creative analysis as opposed to simple problems whose solution is readily available from generative AI tools, and it encourages the student to use generative AI tools at various steps in the book, encouraging them to analyze the correctness of that response. This should provide a new approach for learning and teaching data structures that accommodates the disruption caused by generative AI.