explanation
Computer Science: Algorithms, Theory and Machines, a term that introduces the broad field of computer science to those who are somewhat familiar with the Java programming language. This course covers the second part of the book, Computer Science Computer Science: An Interdisciplinary Approach (the first part of the book). Computer Science: Purposeful Programming Training is provided. The goal of this course is computationally aware storage, thinking about the fundamental foundations and history of the computer science industry. In the first, we present classical algorithms together with scientific techniques for performance computation in modern applications, introduce model classical theory, and ask whether the basis of computation includes computability. We discuss the universality, incomprehensibility, and finally the design of the machine’s architecture and logical purpose for responding to transactions. The course focuses on the relationships between programming applications, computational theory, computers, and history and developments in these fields.
The skills you will gain from the Computer Science: Algorithms, Theory, and Machines course include:
- Principles of Programming
- computer science
- algorithm
- java programming
Specification process:
- Publisher: Coursera
- teacher: kevin wayne, Robert Sedgwick
- Language:English
- Training level: Intermediate
- Number of courses: 48
- Duration: 11 hours 25 minutes
this process
Week 1
Information about Lessons 1-10
Sort and Search – 71m
Week 2
Stacks and Queues – 69m
Week 3
Sign Table – 57m
Week 4
Introduction to Computing Theory – 63 minutes
Week 5
Turing Machine – 73m
Week 6
Easy to handle – 72m
Week 7
Computing machines – 72m
Week 8
Von Neumann machine – 64m
Week 9
Combination circuit – 66m
Week 10
Central Processing Unit – 78m
precondition:
image
sample video
installation manual
Extract it and watch it with the player of your choice.
Subtitles: English…
Quality: 720p
download link
Password file: free download software
file size
2GB