Computer Science
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Computer Science 1
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Computer Science 7
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COMPUTER SCIENCE 1560
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COMPUTER SCIENCE , 2
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Computer science / 3
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COMPUTER SCIENCE, 5
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Computer Science: 3
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Computer-science 1
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Python Programming 1
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Latest content Computer Science
When analyzing an algorithm, we often consider its best case, worst case, and average case scenarios. The best case scenario is the input that results in the fastest running time, while the worst case is the input that results in the slowest running time. The average case is the expected running time when input is randomly distributed. These analyses can help us understand the performance of an algorithm under different circumstances. It's important to note that the worst case scenario is usual...
- Package deal
- Class notes
- • 3 pages's •
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Computer Science•Computer Science
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DATA STRUCTURE AND ALGORITHMS Complete Notes• By sanketsalvi
This note illustrates the concept of time complexity and Big O notation in a real-world scenario. The time taken to execute an algorithm increases with the size of the input. Big O is a logarithmic scale that measures the efficiency of algorithms. The highest-order term is taken to determine the Big O notation, which helps in analyzing and comparing algorithms.
- Package deal
- Class notes
- • 2 pages's •
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Computer Science•Computer Science
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DATA STRUCTURE AND ALGORITHMS Complete Notes• By sanketsalvi
These notes on data structures and algorithms are a comprehensive resource that covers the fundamental concepts, theories, and practices of designing and implementing efficient algorithms and data structures. These notes are designed to help students and professionals who are interested in learning how to write code that solves complex problems efficiently. 
 
The notes provide a systematic approach to the study of data structures and algorithms, starting from basic concepts such as arrays, lin...
- Summary
- • 93 pages's •
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Computer science•Computer science
Computer Science Unit 1 and Unit 2 with complete solution 
 
Which of the following commands is a valid Karel command? 
move(); 
What makes the following command an invalid Karel command? 
turnleft(); 
The l should be a capital L 
Which of the following is the correct way to define a turnRight function in Karel? 
function turnRight() { 
turnLeft(); 
turnLeft(); 
turnLeft(); 
} 
Why do we use functions in Karel programs? 
Break down our program into smaller parts 
 
 
Avoid repeating code 
 
 
Ma...
- Exam (elaborations)
- • 9 pages's •
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Computer Science•Computer Science
Computer Science Unit 1 and Unit 2 with complete solution 
 
Which of the following commands is a valid Karel command? 
move(); 
What makes the following command an invalid Karel command? 
turnleft(); 
The l should be a capital L 
Which of the following is the correct way to define a turnRight function in Karel? 
function turnRight() { 
turnLeft(); 
turnLeft(); 
turnLeft(); 
} 
Why do we use functions in Karel programs? 
Break down our program into smaller parts 
 
 
Avoid repeating code 
 
 
Ma...
- Exam (elaborations)
- • 9 pages's •
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Computer Science•Computer Science
Introduction to python programming
- Class notes
- • 142 pages's •
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Computer Science•Python Programming
Excuse for leave application
- Other
- • 1 pages's •
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Computer science•Computer science
In these notes, we discuss Data Structures and Algorithms using Java Programming. The data structure is a way to store and organize data so that it can be used efficiently. It is a set of concepts that we can use in any programming language to structure the data in the memory. Data structures are widely used in almost every aspect of computer science i.e. operating systems, computer science, compiler design, Artificial Intelligence, graphic,s and many more. Some examples of Data structures that ...
- Class notes
- • 1 pages's •
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COMPUTER SCIENCE•COMPUTER SCIENCE
Data Structures & types
- Summary
- • 3 pages's •
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Computer Science•Computer Science
This document covers the fundamentals of data structures and algorithms in computer science. It starts with an introduction to algorithms and data structures, including complexity analysis and algorithm design techniques. The course then covers arrays and linked lists, stacks and queues, trees and binary search trees, heaps and priority queues, sorting algorithms, and graphs and graph algorithms. For each data structure and algorithm, the course covers the operations, implementation in programmi...
- Summary
- • 49 pages's •
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Computer Science•Computer Science