DS & AA
Data Structure & Analysis of Algorithm
Introduction:
Welcome to Course. This course teaches students how to think algorithmically & solve problems efficiently.
Expectations from Student:
Students are expected to attend the theory lectures, perform all practicals, take two class tests & make subject notes with practical file for final submission.
Learning Objectives:
Think more methodically.
Program Methodically.
Solve problems efficiently.
Decompose problems into parts & compose solutions
The syllabus for M.Sc(CS) and M.Sc(IT) is nearly 80% same.
Their are some points which are different, which we will cover in classroom.
Books: (All Books are available in College Library)
Introduction to Algorithms By Thomas Corman, C Leiserson, Rivest, Stein
Data Structures By Seymour Lipschutz
Notes & Video Lectures:
Some important Links for Reference:
Notes from CPSC 223: Data Structures & Programming Techniques By James Aspnes.
Course Site: Data structures by James Aspnes
Lecture Series on Data Structures and Algorithms by Dr. Naveen Garg
Lab Manual:
Do not copy and paste the programs.
Execute all the programs.
Debug the errors if any.
Attach the output & program to submission files.
Under any circumstance the incomplete files will not be accepted.