Courses

Engineering Computation with NumPy

Engineering Computation with NumPy
300 USD
Programming For Engineers
9 Courses
244 Lessons in 42 Chapters
25 Hours & 24 Minutes
Lessons
34 Lessons in 5 Chapters
Duration
3 Hours & 36 Minutes
Students
0 Student in 0 Country
Instructor
Mostafa Emad Engineering Software Developer
By the end of this module, participants will understand the fundamental concepts of numerical computing using NumPy, including array creation, manipulation, and indexing. They will be able to perform mathematical operations, apply vectorized computations for efficiency, and utilize built-in functions for data analysis. Additionally, they will recognize NumPy’s role in engineering computations and its applications in solving real-world engineering problems.
Course Curriculum
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01-01 - Introduction to Computational Engineering
 0:05:00
01-02 - Computational Engineering Applications
 0:12:00
01-03 - Computational Modeling
 0:06:00
01-04 - Why Using Python for Computational Engineering
 0:06:00
02-01 - Creating and Initializing Arrays : 1D
 0:05:00
02-02 - Creating and Initializing Arrays : 2D
 0:04:00
02-03 - Creating and Initializing Arrays : Multi-dimensional arrays
 0:08:00
02-04 - Working with NumPy : arrange
 0:04:00
02-05 - Working with NumPy : Zeros
 0:04:00
02-06 - Working with NumPy : Ones
 0:04:00
02-07 - Working with NumPy : linespace
 0:04:00
02-08 - Working with NumPy : Random
 0:04:00
02-09 - Accessing and Manipulating Array Elements : Indexing and Slicing
 0:06:00
02-10 - Accessing and Manipulating Array Elements : iteration
 0:08:00
02-11 - Accessing and Manipulating Array Elements : Modifying Values
 0:05:00
02-12 - Flattening and Transposing arrays
 0:12:00
03-01 - Basic Arithmetic and Vectorized Operations : Addition
 0:05:00
03-02 - Basic Arithmetic and Vectorized Operations : Subtraction
 0:06:00
03-03 - Basic Arithmetic and Vectorized Operations : Multiplication
 0:07:00
03-04 - Basic Arithmetic and Vectorized Operations : Division
 0:08:00
03-05 - Applying mathematical functions : Sin()
 0:04:00
03-06 - Applying mathematical functions : cosin()
 0:03:00
03-07 - Applying mathematical functions : log()
 0:03:00
03-08 - Applying mathematical functions : exp()
 0:03:00
03-09 - Linear Algebra for Engineers : Matrix Operations
 0:09:00
03-10 - Linear Algebra for Engineers : dot products
 0:09:00
03-11 - Linear Algebra for Engineers : Matrix Multiplication
 0:08:00
03-12 - Linear Algebra for Engineers : Computing determinants
 0:07:00
03-13 - Linear Algebra for Engineers : inverses
 0:06:00
03-14 - Linear Algebra for Engineers : eigenvalues
 0:06:00
04-01 - Solving systems of linear equations
 0:10:00
04-02 - Least squares fitting
 0:10:00
04-03 - Polynomial fitting
 0:09:00
04-04 - root finding
 0:06:00
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