QC051: Math Prerequisites for QC – Content moved to QC101
QC051: Math Prerequisites for QC – Content moved to QC101, available at $84.99, has an average rating of 4.6, with 114 lectures, based on 820 reviews, and has 4119 subscribers.
You will learn about Math prerequisites for Quantum Computing and Quantum Physics This course is ideal for individuals who are Students who studied Math & Physics in 12th grade high school many years ago and now need a refresher course in basic Math It is particularly useful for Students who studied Math & Physics in 12th grade high school many years ago and now need a refresher course in basic Math.
Enroll now: QC051: Math Prerequisites for QC – Content moved to QC101
Summary
Title: QC051: Math Prerequisites for QC – Content moved to QC101
Price: $84.99
Average Rating: 4.6
Number of Lectures: 114
Number of Published Lectures: 114
Number of Curriculum Items: 114
Number of Published Curriculum Objects: 114
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will Learn
- Math prerequisites for Quantum Computing and Quantum Physics
Who Should Attend
- Students who studied Math & Physics in 12th grade high school many years ago and now need a refresher course in basic Math
Target Audiences
- Students who studied Math & Physics in 12th grade high school many years ago and now need a refresher course in basic Math
THE CONTENTS OF THIS COURSE HAVE BEEN ADDED TO QC101.
Purchase this course if you want only the math lessons without the rest of QC101.
The contents of this course have been added to the section on Math Foundation in QC101.
———–
This is a refresher course in Mathematics for students who studied Math and Physics through 12th grade high school, but have now forgotten many of the details. In less than 4 hours I review the Math you will need to understand quantum computing concepts.
The focus is on getting you up to speed as quickly as possible. I cover what you need to know: Probability, Statistics, Boolean Logic, Complex Numbers, and Linear Algebra. You will not waste time on topics you do not need for quantum computing.
To get the most out of this course, you need to have already studied Math at a 12th grade level in high-school. This is merely a review course to help you refresh your memory. If you have not studied these topics in high school, then this 4 hour course cannot substitute for 2 years of high school Math classes.
This course reviews basic high-school Math. It doesn’t go into any details about quantum physics or quantum computing. Those topics will be discussed in subsequent courses of this series.
Course Curriculum
Chapter 1: Boolean Algebra
Lecture 1: Introduction
Lecture 2: Boolean Algebra
Lecture 3: Boolean Variables & Operators
Lecture 4: Reviewing Your Experience
Lecture 5: Truth Tables
Lecture 6: Logic Gates
Lecture 7: Logic Circuits
Lecture 8: AND Gate
Lecture 9: OR Gate
Lecture 10: NOT Gate
Lecture 11: Multiple Input Gates
Lecture 12: Equivalent Circuits 1
Lecture 13: Equivalent Circuits 2
Lecture 14: Universal Gate: NAND
Lecture 15: Exclusive-OR
Lecture 16: XOR for Assignment
Lecture 17: XOR of Bit Sequences 1
Lecture 18: XOR of Bit Sequences 2
Chapter 2: Cryptography
Lecture 1: Introduction to Cryptography
Lecture 2: Cryptography with XOR
Lecture 3: Shared Secret
Lecture 4: Importance of Randomness
Lecture 5: Breaking the Code
Chapter 3: Probability
Lecture 1: Introduction to Probability
Lecture 2: Probability of a Boolean Expression
Lecture 3: Mutually Exclusive Events
Lecture 4: Independent Events
Lecture 5: Manipulating Probabilities with Algebra
Lecture 6: P( Mutually Exclusive Events )
Lecture 7: P( Independent Events )
Lecture 8: Complete Set of Mutually Exclusive Events
Lecture 9: P( A OR B )
Lecture 10: Examples
Lecture 11: Examples
Lecture 12: P( Bit Values )
Lecture 13: Analysis with Venn Diagrams
Lecture 14: Venn Diagram P( A AND B )
Lecture 15: Venn Diagram P( A OR B )
Lecture 16: Venn Diagram P( NOT A )
Lecture 17: Examples
Lecture 18: Examples
Lecture 19: Conditional Probability
Lecture 20: Examples
Chapter 4: Statistics
Lecture 1: Introduction to Statistics
Lecture 2: Random Variables
Lecture 3: Mapping Random Variables
Lecture 4: Mean, Average, Expected Value …
Lecture 5: Example
Lecture 6: Example
Lecture 7: Beyond Mean
Lecture 8: Standard Deviation
Lecture 9: Examples
Lecture 10: Combinations of Random Variables
Lecture 11: Correlation
Lecture 12: Analysis of Correlation
Lecture 13: Test to Determine if Real-World Random Variables are Correlated
Chapter 5: Complex Numbers
Lecture 1: Introduction to Complex Numbers
Lecture 2: Imaginary i
Lecture 3: Addition
Lecture 4: Subtraction
Lecture 5: Multiplication by a Real
Lecture 6: Division by a Real
Lecture 7: Complex Multiplication
Lecture 8: Examples
Lecture 9: Complex Conjugates
Lecture 10: Squared Magnitude
Lecture 11: Complex Division
Lecture 12: Examples
Lecture 13: Euler's Formula
Lecture 14: Polar Form
Lecture 15: Examples
Lecture 16: Fractional Powers
Lecture 17: Complex Cube Roots of 1
Lecture 18: Square Root of i
Lecture 19: 2D Coordinates
Chapter 6: Linear Algebra & Matrices
Lecture 1: Matrices
Lecture 2: Matrix Dimensions
Lecture 3: Matrix Addition
Lecture 4: Subtraction
Lecture 5: Scalar Multiplication
Lecture 6: Matrix Multiplication
Lecture 7: Examples
Lecture 8: Examples
Lecture 9: 3×3 Example
Lecture 10: Exercises
Lecture 11: More Multiplications
Lecture 12: When is Multiplication Possible?
Lecture 13: Example
Lecture 14: Not Commutative
Lecture 15: Associative & Distributive
Lecture 16: Dimension of Result
Lecture 17: Odd Shaped Matrices
Lecture 18: Examples
Lecture 19: Outer Product
Instructors
-
Kumaresan Ramanathan
Principal Architect at Coroman Systems
Rating Distribution
- 1 stars: 8 votes
- 2 stars: 10 votes
- 3 stars: 54 votes
- 4 stars: 298 votes
- 5 stars: 450 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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