Data Structures Laboratory detail syllabus for Computer & Communication Engineering (C&C), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (CS8381), Category (PC), Contact Periods/week (4), Teaching hours/week (0), Practical Hours/week (0). The total course credits are 4.
For all other c&c 3rd sem syllabus for be 2017 regulation anna univ you can visit C&C 3rd Sem syllabus for BE 2017 regulation Anna Univ Subjects. The detail syllabus for data structures laboratory is as follows.”
Course Objective:
- To implement linear and non-linear data structures
- To understand the different operations of search trees
- To implement graph traversal algorithms
- To get familiarized to sorting and searching algorithms
- Array implementation of Stack and Queue ADTs
- Array implementation of List ADT
- Linked list implementation of List, Stack and Queue ADTs
- Applications of List, Stack and Queue ADTs
- Implementation of Binary Trees and operations of Binary Trees
- Implementation of Binary Search Trees
- Implementation of AVL Trees
- Implementation of Heaps using Priority Queues.
- Graph representation and Traversal algorithms
- Applications of Graphs
- Implementation of searching and sorting algorithms
- Hashing – any two collision techniques
Course Outcome:
At the end of the course, the students will be able to:
- Write functions to implement linear and non-linear data structure operations
- Suggest appropriate linear / non-linear data structure operations for solving a given problem
- Appropriately use the linear / non-linear data structure operations for a given problem
- Apply appropriate hash functions that result in a collision free scenario for data storage and retrieval
For detail syllabus of all other subjects of BE C&C, 2017 regulation do visit C&C 3rd Sem syllabus for 2017 Regulation.
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