Algorithms, Theory and Machines 2021-2 – Downloadly
Description
Computer Science: Algorithms, Theory and Machines, a time for introducing the broader discipline of computer science to people reasonably familiar with the Java programming language. This course is the second part of the book Computer Science Computer Science: An Interdisciplinary Approach (the first part of this book in the course). Computer Science: Programming with a Purpose There is training. The goal of this course is computationally aware storage while reflecting on the basic fundamentals and history of the computing industry. First, the classical algorithm, as well as scientific techniques for calculating power in the scope of modern ones, are presented, and then, with the introduction of the model of classical theory, questions are asked about which the fundamentals of calculation include computability, universality and insolvability, in order to get to the deal react, and finally discuss this with the architecture of the machine and the design of the logical goals. This course focuses on the relationship between the programming applications, computation theory, computers and… history and development of this field have been made.
The skills acquired in the Computer Science: Algorithms, Theory and Machines course:
- Principles of programming
- Computer Science
- Algorithms
- Java programming
Specifications course:
- Publisher: Coursera
- Teacher: Kevin Wayne, Robert Sedgewick
- Language: English
- Education level: intermediate
- Number of courses: 48
- Duration: 11 hours and 25 minutes
This course
week 1
INFORMATION ABOUT LECTURES 1-10
SORT AND SEARCH – 71m
Week 2
STACKS AND QUEUES – 69 m
Week 3
SYMBOL TABLES – 57m
Week 4
INTRODUCTION TO THE THEORY OF COMPUTING – 63m
Week 5
TURING MACHINES – 73m
Week 6
Recalcitrance – 72 m
Week 7
A COMPUTING MACHINE – 72 m
Week 8
VON NEUMANN MACHINES – 64m
Week 9
COMBINATION DISTANCES – 66 m
Week 10
CENTRAL PROCESSING UNIT – 78 m
Required courses:
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