Description
Computer Science: Algorithms, Theory, and Machines is a course to introduce the broader discipline of computer science for people who have little knowledge of the Java programming language. This course covers the second part of the computer science book Computer Science: An Interdisciplinary Approach (the first part of this book in the course Computer Science: Programming with a Purpose has been taught). The purpose of this course is to understand computation and inform about the basic thinking and history of computer science. At first, classical algorithms are introduced along with scientific techniques to calculate performance in the context of modern programs, and then we introduce classical theoretical models that allow us to answer the questions of the basic principles of computation, including computability, universality, and intractability. And finally, this discussion ends with machine architecture and logical design. This course is made by focusing on the relationship between program programming, theory of computation, real computers, history and evolution of this field.
Skills you will acquire in the Computer Science: Algorithms, Theory, and Machines course:
- Principles of programming
- computer science
- Algorithms
- Java programming
Course details:
- Publisher: Coursera
- Instructors: Kevin Wayne, Robert Sedgewick
- English language
- Education level: Intermediate
- Number of courses: 48
- Duration: 11 hours and 25 minutes
Course headings
Week 1
INFORMATION ABOUT LECTURES 1-10
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
TURNING 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
Course prerequisites:
Pictures
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