Intro to Computer Organization, Number Data Representation

Intro to Computer Organization, Number & Data Representation, available at $74.99, has an average rating of 4.35, with 71 lectures, 13 quizzes, based on 55 reviews, and has 4120 subscribers.

You will learn about What is a computer? Basic computer organization What is a program? Generations of programming languages What is machine language and assembly language? What are high-level languages? What is the computer level hierarchy in modern computers? What is hardware? What is software? What is von Neumann machine? How do instructions execute in a modern computer? What is multi-core processor? What are bits and bytes? What are binary numbers? How to convert binary numbers to decimal? How to convert decimal numbers to binary? What are hexadecimal numbers and why are they needed? What is the range of numbers that can be expressed in a given memory space? How to add binary numbers? What is arithmetic overflow? How to prevent overflow in C++ programs? How to represent negative integers in computers memory? How to convert an integer into twos complement representation? How to add twos complement numbers? How to detect overflow in twos complement number addition? What is zero extension and sign extension? What are floating point numbers? What is the IEEE floating point representation? How to convert a real number from decimal to binary format? How to represent a decimal number in IEEE floating point representation? What are the reserved bit patterns in IEEE floating point format? What are the errors introduced in computation due to floating point representation? How to minimize approximation errors in floating point computations? What is ASCII character representation? What is Unicode character representation? How are images represented in our computers memory? How is sound represented in a computers memory? This course is ideal for individuals who are Computer science undergraduate students taking a computer organization or computer architecture course could benefit from the course. or Anyone interested in learning about number and data representation in computers could benefit from this course. or Anyone interested in learning about introduction to computer organization could benefit from this course. or You may (optionally) wish to print some of the material It is particularly useful for Computer science undergraduate students taking a computer organization or computer architecture course could benefit from the course. or Anyone interested in learning about number and data representation in computers could benefit from this course. or Anyone interested in learning about introduction to computer organization could benefit from this course. or You may (optionally) wish to print some of the material.

Enroll now: Intro to Computer Organization, Number & Data Representation

Summary

Title: Intro to Computer Organization, Number & Data Representation

Price: $74.99

Average Rating: 4.35

Number of Lectures: 71

Number of Quizzes: 13

Number of Published Lectures: 71

Number of Published Quizzes: 13

Number of Curriculum Items: 84

Number of Published Curriculum Objects: 84

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

What is a computer?

Basic computer organization

What is a program?

Generations of programming languages

What is machine language and assembly language?

What are high-level languages?

What is the computer level hierarchy in modern computers?

What is hardware?

What is software?

What is von Neumann machine?

How do instructions execute in a modern computer?

What is multi-core processor?

What are bits and bytes?

What are binary numbers?

How to convert binary numbers to decimal?

How to convert decimal numbers to binary?

What are hexadecimal numbers and why are they needed?

What is the range of numbers that can be expressed in a given memory space?

How to add binary numbers?

What is arithmetic overflow?

How to prevent overflow in C++ programs?

How to represent negative integers in computers memory?

How to convert an integer into twos complement representation?

How to add twos complement numbers?

How to detect overflow in twos complement number addition?

What is zero extension and sign extension?

What are floating point numbers?

What is the IEEE floating point representation?

How to convert a real number from decimal to binary format?

How to represent a decimal number in IEEE floating point representation?

What are the reserved bit patterns in IEEE floating point format?

What are the errors introduced in computation due to floating point representation?

How to minimize approximation errors in floating point computations?

What is ASCII character representation?

What is Unicode character representation?

How are images represented in our computers memory?

How is sound represented in a computers memory?

Who Should Attend

Computer science undergraduate students taking a computer organization or computer architecture course could benefit from the course.

Anyone interested in learning about number and data representation in computers could benefit from this course.

Anyone interested in learning about introduction to computer organization could benefit from this course.

You may (optionally) wish to print some of the material

Target Audiences

Computer science undergraduate students taking a computer organization or computer architecture course could benefit from the course.

Anyone interested in learning about number and data representation in computers could benefit from this course.

Anyone interested in learning about introduction to computer organization could benefit from this course.

You may (optionally) wish to print some of the material

When purchasing a new computer, have you wondered what “3,” “5,” and “7” mean in Core i3, i5, or i7? (Hint: these are not the number of cores in the processor!) Did you know that when comparing two floating point variables, using the “==” in your programs may return False even though the variables are expected to be equal? (“==” is not the best way to compare two float variables!) Did you know that a naive statement like i++ could lead to an overflow in your C++ program? Learn the explanations to these and many more intriguing questions in this course!

Ace data representation, number representation, twos complement, IEEE floating point representation, binary arithmetic questions in competitive exams, job interviews, and computer organization and architecture course exams. Genuinely understand the representation of various kinds of data (including integers, real numbers, negative numbers, characters, images, and sound) in modern computers.

Specifically, the course will cover the following in detail.

1. What is a computer?

2. Basic computer organization

3. What is a program?

4. Generations of programming languages

5. What is machine language and assembly language?

6. What are high-level languages?

7. What is the computer level hierarchy in modern computers?

8. What is hardware?

9. What is software?

10. What is von Neumann machine?

11. How do instructions execute in a modern computer?

12. What is multi-core processor?

13. What are bits and bytes?

14. What are binary numbers?

15. How to convert binary numbers to decimal?

16. How to convert decimal numbers to binary?

17. What are hexadecimal numbers and why are they needed?

18. What is the range of numbers that can be expressed in a given memory space?

19. How to add binary numbers?

20. What is arithmetic overflow?

21. How to prevent overflow in C++ programs?

22. How to represent negative integers in computer’s memory?

23. How to convert an integer into twos complement representation?

24. How to add twos complement numbers?

25. How to detect overflow in twos complement number addition?

26. What is zero extension and sign extension?

27. What are floating point numbers?

28. What is the IEEE floating point representation?

29. How to convert a real number from decimal to binary format?

30. How to represent a decimal number in IEEE floating point representation?

31. What are the reserved bit patterns in IEEE floating point format?

32. What are the errors introduced in computation due to floating point representation?

33. How to minimize approximation errors in floating point computations?

34. What is ASCII character representation?

35. What is Unicode character representation?

36. How are images represented in our computer’s memory?

37. How is sound represented in a computer’s memory?

30 day money back guaranteed by Udemy.

Wisdom scholarships. If you are interested in taking one of our courses but cannot purchase it, you can apply for a scholarship to enroll. Learn more about the application process at my website.

Course Curriculum

Chapter 1: Course introduction

Lecture 1: Course introduction

Chapter 2: Introduction

Lecture 1: What is a computer

Lecture 2: Basic computer organization

Lecture 3: What is a program

Lecture 4: Generations of programming languages

Lecture 5: Machine language

Lecture 6: Assembly language

Lecture 7: High-level languages

Chapter 3: Computer level hierarchy

Lecture 1: Computer level hierarchy

Lecture 2: Hierarchical design

Lecture 3: Hierarchical design features

Lecture 4: Modern computers computer level hierarchy

Lecture 5: Top down view of computer level hierarchy

Lecture 6: Equivalence of hardware and software

Chapter 4: Von Neumann architecture

Lecture 1: Von Neumann architecture

Lecture 2: Instruction execution in Von Neumann machine

Lecture 3: Instruction execution example

Chapter 5: Types of CPUs

Lecture 1: Multi core processors

Lecture 2: Processors are everywhere

Chapter 6: Number representation

Lecture 1: Number Representation bits and bytes

Lecture 2: Base-10 numbers

Lecture 3: Binary numbers

Lecture 4: Binary to decimal conversion examples

Lecture 5: Decimal to binary conversion

Lecture 6: Decimal to binary conversion-subtraction method

Lecture 7: Decimal to binary conversion-division method

Lecture 8: Activity-decimal to binary conversion

Chapter 7: Hexadecimal numbers

Lecture 1: Hexadecimal numbers

Lecture 2: Binary to hexadecimal conversion

Lecture 3: Activity-decimal to hexadecimal conversion

Chapter 8: Range of numbers and binary addition

Lecture 1: Range of numbers in fixed length integers

Lecture 2: Binary addition

Lecture 3: Activity-binary addition

Lecture 4: Arithmetic overflow

Lecture 5: Avoiding arithmetic overflow in C++ programs

Chapter 9: Negative number representation

Lecture 1: Negative integers-signed magnitude representation

Lecture 2: Twos complement representation

Lecture 3: Twos complement representation range

Lecture 4: Converting a number to twos complement representation

Lecture 5: Computing the magnitude of a twos complement number

Chapter 10: Twos complement arithmetic

Lecture 1: Twos complement addition

Lecture 2: Example of twos complement addition

Lecture 3: Overflow in twos complement addition

Lecture 4: Activity-twos complement addition

Lecture 5: Zero extension and sign extension

Lecture 6: Subtraction multiplication and division of binary numbers

Chapter 11: IEEE floating point representation

Lecture 1: What are floating point numbers

Lecture 2: Scientific number representation review

Lecture 3: IEEE floating point representation

Lecture 4: How to convert decimal fractions into binary

Lecture 5: How to convert decimal fractions into binary using multiplication method

Lecture 6: Activity-convert decimal fraction to binary

Lecture 7: Scientific notation practice

Lecture 8: Determining the sign & fraction fields in IEEE floating point representation

Lecture 9: Excess-127 notation for exponents

Lecture 10: Why use excess-127 representation for exponents

Lecture 11: Translating a twos complement number to excess-127

Lecture 12: Decimal to IEEE floating point end to end translation

Lecture 13: Activity-IEEEE floating point to decimal number conversion

Lecture 14: Special floating point numbers

Lecture 15: Floating point errors

Lecture 16: Reducing floating point errors

Lecture 17: Activity-floating point errors

Lecture 18: Floating point terminology

Lecture 19: Floating point addition and multiplication

Chapter 12: Character representation

Lecture 1: ASCII character representation

Lecture 2: Unicode character representation

Chapter 13: Image representation

Lecture 1: Image representation-colors in images

Lecture 2: Image representation-size on disk

Chapter 14: Sound representation

Lecture 1: Sound representation

Lecture 2: Activity-sound representation

Instructors

Aditya Mishra (Ph.D.)
Founding Director at Wisdom Academy, Educator, Researcher

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 4 votes

4 stars: 17 votes

5 stars: 32 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!