C# Numerical Methods for Scientists and Engineers
C# Numerical Methods for Scientists and Engineers, available at $34.99, has an average rating of 3.25, with 36 lectures, based on 22 reviews, and has 1104 subscribers.
You will learn about .Net C# Programming Numerical Methods Engineering Mathematics Science Algorithms This course is ideal for individuals who are Students and Professionals who want to master numerical methods or Undergraduate Scientists and Engineers It is particularly useful for Students and Professionals who want to master numerical methods or Undergraduate Scientists and Engineers.
Enroll now: C# Numerical Methods for Scientists and Engineers
Summary
Title: C# Numerical Methods for Scientists and Engineers
Price: $34.99
Average Rating: 3.25
Number of Lectures: 36
Number of Published Lectures: 36
Number of Curriculum Items: 36
Number of Published Curriculum Objects: 36
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- .Net C# Programming
- Numerical Methods
- Engineering
- Mathematics
- Science
- Algorithms
Who Should Attend
- Students and Professionals who want to master numerical methods
- Undergraduate Scientists and Engineers
Target Audiences
- Students and Professionals who want to master numerical methods
- Undergraduate Scientists and Engineers
Get Startedwith C# Numerical Methodsfor Scientists and Engineers!
Are you a student or professional in the field of engineering, physics, mathematics, or science or maybe contemplating an educational or career move to the software engineering world? Have you been looking for a quick and easy way to get up and running with .NET Numerical Methods coupled with C# Programming and don’t want to go through an overwhelming amount of material just to get your environment setup and ready for building your own algorithm libraries? Don’t worry as THIS IS THE COURSE FOR YOU!
In my course, I will teach you how to apply and utilize C# programming to solve engineering and scientific problems using numerical methods through a step-by-step guided approach.
Take this course and feel proud of the fact that you will be one step closer towards the rewarding field of Software Engineering using .NET technologies!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Solution of Nonlinear Equations
Lecture 1: Visual Studio Solution and Project Setup
Lecture 2: Bisection Method
Lecture 3: Regula Falsi Method
Lecture 4: Secant Method
Lecture 5: Newton Raphson Method
Lecture 6: Unit Test Project Setup
Lecture 7: Nonlinear Unit Tests Part 1
Lecture 8: Nonlinear Unit Tests Part 2
Chapter 3: Solution of Simultaneous Linear Equations
Lecture 1: System of Equations Project and Interface
Lecture 2: Gauss Elimination (Solve Equations)
Lecture 3: Gauss Elimination (Reduced Form)
Lecture 4: Gauss Elimination (Swap Rows)
Lecture 5: Gauss Elimination (Back Substitution)
Lecture 6: Gauss Elimination (Validate Solutions)
Lecture 7: Setup Unit Tests
Lecture 8: Refactor and Debug Unit Test
Chapter 4: Curve Fitting and Interpolation
Lecture 1: Add Project Class and Interface
Lecture 2: Linear Interpolation
Lecture 3: Linear Regression
Lecture 4: Power Regression
Lecture 5: Interpolation Regression Unit Tests
Chapter 5: Numerical Differentiation
Lecture 1: Project Class and Interface
Lecture 2: Forward Difference Method
Lecture 3: Backward Difference Method
Lecture 4: Central Difference Method
Lecture 5: Numerical Differentiation Unit Tests
Chapter 6: Numerical Integration
Lecture 1: Project Class and Interface
Lecture 2: Trapezoidal Method
Lecture 3: Simpson's 1/3 Method
Lecture 4: Simpson's 3/8 Method
Lecture 5: Numerical Integration Unit Tests
Chapter 7: Ordinary Differential Equations
Lecture 1: Project Class and Interface
Lecture 2: Euler's Method
Lecture 3: Runge-Kutta Method
Lecture 4: Ordinary Differential Equations Unit Tests
Instructors
-
Manish Narayan
President – Innovative Institution, Professor of Engineering
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 2 votes
- 3 stars: 3 votes
- 4 stars: 6 votes
- 5 stars: 8 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!
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