Computer Science

This is a course on Data Structures and Algorithms, Consisting of  4 Units. We study both Linear and Non Linear Data Structures, their structure and implementation. We use C concepts to implement the same 

Details of the Course:

Subject Code: MCA-0802,  Subject Name: Data Structure and Algorithms

No. of Credits: 4, No. of Hours Per Week: 4

Marks Distribution: Internal Exam = 25, End Semester Examination = 75.

Duration of End Semester Examination: Three Hours.

The objective of the course is to introduce the fundamentals of C programming language and develop the skills for solving problems using computers. The topics covered in the paper will be to: In this part of the paper covered by me, we will see:

• Linear Linked list: Creation and Related Operations
• Stacks and Queues: Creations and Related Operations
• Trees: Creation and Related Operations and various types of trees
• Graph: Creation and Related Operations
• Searching and Hashing: Linear and Binary Search. Hashing Methods and related issues.  

This course introduces students to Object Oriented Programming using C++. Students will be given the opportunity of hands on experience in developing object oriented solutions to various problems. They will learn to utilize the object oriented model which includes abstraction, inheritance, polymorphism, and much more. 

This course introduces students to the mathematical models and techniques employed in translating and executing high-level languages. 

Wednesday Thursday Saturday LRS digital Logic last unit 5memory and input output2bsc

my Unit is last unit. my topics are 

1. memory 

2. input output

Wednesday Thursday Saturday LRS digital Logic last unit 5memory and input output2bsc

Digital Logic

 last unit 5 

class2nd sem bsc 

memory and input output... 

End.....

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The study of algorithms is at the heart of computer science. In recent years, a number of advances have been made in the field of designing of the algorithms. This paper is meant to give the students an in-depth knowledge to analyze and design a better algorithm before its actual implementation.

Capabilities of both generating and collecting data have been increasing rapidly in the last several decades due to the use of bar codes, computerisations of many products, advances of data collection tools etc. This growth in stored data has generated an urgent need of the subject like Data Mining. The paper aims to give the concept and various techniques of data mining to the students. Students will also learn the feasibility, usefulness, efficiency and the scalability of the techniques for discovery of patterns hidden in large databases. The paper will also familiarize the students with some advance topics in data mining such as Text mining, WWW mining, Spatial database mining etc. Another purpose of the paper is to introduce the students with some popular data mining systems such as DBMiner etc.