Coursera – Computer Science: Algorithms, Theory, and Machines 2021-2

Description

Computer Science: Algorithms, Theory, and Machines is a course to introduce the broader discipline of computer science to those who have little knowledge of the Java programming language. This course covers the second part of Computer Science: An Interdisciplinary Approach (the first part of this book is taught in Computer Science: Programming with a Purpose). The purpose of this course is to understand computation and awareness about the basic thinking and history of computer science. First, classical algorithms are introduced along with scientific techniques for calculating performance in modern applications, and then we introduce classical theory models that allow us to answer the basic principles of computation, including computability, universality, and intractability. And finally, this discussion ends with machine architecture and logical design. This course focuses on the relationship between programming, computation theory, real computers, the history and evolution of the field.

Skills you will gain in Computer Science: Algorithms, Theory, and Machines

Principles of programming

Computer science

Algorithms

Java programming

Course information

Publisher: Coursera

Instructors: Kevin Wayne, Robert Sedgewick

English language

Level of education: Intermediate

Number of courses: 48

Duration: 11 hours and 25 minutes

Topics

Week 1

INFORMATION ABOUT LECTURES 110

SORTING AND SEARCHING 71m

Week 2

STACKS AND QUEUES 69m

Week 3

SYMBOL TABLES 57m

Week 4

INTRODUCTION TO THE THEORY OF COMPUTING 63m

Week 5

TURING MACHINES 73m

Week 6

INTRACTABILITY 72m

Week 7

A COMPUTING MACHINE 72m

Week 8

VON NEUMANN MACHINES 64m

Week 9

COMBINATIONAL CIRCUITS 66m

Week 10

CENTRAL PROCESSING UNIT 78m

Installation

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Subtitle: English and.

Quality: 720p