2nd Sem, AI&DS

AD3251: Data Structures Design syllabus for AI&DS 2021 regulation

Data Structures Design detailed syllabus for Artificial Intelligence & Data Science (AI&DS) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the AI&DS students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Artificial Intelligence & Data Science 2nd Sem scheme and its subjects, do visit AI&DS 2nd Sem 2021 regulation scheme. The detailed syllabus of data structures design is as follows.

Data Structures Design

Course Objectives:

Download the iStudy App for all syllabus and other updates.
Get it on Google Play

Unit I

ABSTRACT DATA TYPES 9 Abstract Data Types (ADTs) – ADTs and classes – introduction to OOP – classes in Python -inheritance – namespaces – shallow and deep copying Introduction to analysis of algorithms – asymptotic notations – recursion – analyzing recursive algorithms

Unit II

Download the iStudy App for all syllabus and other updates.
Get it on Google Play

Unit III

SORTING AND SEARCHING 9 Bubble sort – selection sort – insertion sort – merge sort – quick sort – linear search – binary search – hashing – hash functions – collision handling – load factors, rehashing, and efficiency

Unit IV

Download the iStudy App for all syllabus and other updates.
Get it on Google Play

Unit V

GRAPH STRUCTURES 9 Graph ADT – representations of graph – graph traversals – DAG – topological ordering – shortest paths – minimum spanning trees

Course Outcomes:

Download the iStudy App for all syllabus and other updates.
Get it on Google Play

Text Books:

  1. Michael T. Goodrich, Roberto Tamassia, and Michael H. Goldwasser, Data Structures and Algorithms in Python (An Indian Adaptation), Wiley, 2021.
  2. Lee, Kent D., Hubbard, Steve, Data Structures and Algorithms with Python Springer Edition 2015.
  3. Narasimha Karumanchi, Data Structures and Algorithmic Thinking with Python Careermonk, 2015.

Reference Books:

  1. Rance D. Necaise, Data Structures and Algorithms Using Python, John Wiley & Sons, 2011.
  2. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein, Introduction to Algorithms”, Third Edition, PHI Learning, 2010.
  3. Mark Allen Weiss, Data Structures and Algorithm Analysis in C++, Fourth Edition, Pearson Education, 2014
  4. Aho, Hopcroft, and Ullman, Data Structures and Algorithms, Pearson Education India, 2002.

For detailed syllabus of all other subjects of Artificial Intelligence & Data Science, 2021 regulation curriculum do visit AI&DS 2nd Sem subject syllabuses for 2021 regulation.

For all Artificial Intelligence & Data Science results, visit Anna University AI&DS all semester results direct link.

Leave a Reply

Your email address will not be published. Required fields are marked *

*

This site uses Akismet to reduce spam. Learn how your comment data is processed.