Enhance your Engineering skills with Python. No more hand calculations, use the power of automation. Learn the fastest way to solve your engineering problems with the help of Python. Now 8.2 million people use Python to make their life easy. So, this is the time for you. Here is the course for you :
Total 3 Modules will be covered in this course:
Module 01: Basic Python for Engineers
Module 02: Data Visualization with Python
Module 03: Fundamentals of Structural Dynamics
Number of Lectures: Minimum 15
Online Class: Zoom Realtime Video Conference
Study Materials: Slides, Books, Codes
Language: Bengali & English
Pen, Paper, and Calculator with a Computer or Laptop with Internet Connection (or at least Smartphone). Participants should have at least Mathematical Background up to Class 7…teachers of Engineering Universities, and anyone with interest in Python, Data Science, and Engineering. ing. ring. ring.
Who Should Join?
Civil Engineers, Mechanical Engineers, Structural Engineers, Undergraduate Students, Diploma Engineering Students, Ph.D. & Master’s Students, Data scientists, Trainers and Teachers of Engineering Universities, and anyone with interest in Python, Data Science, and Engineering.
Requirements :
Pen, Paper, and Calculator with a Computer or Laptop with Internet Connection (or at least Smartphone). Participants should have at least Mathematical Background up to Class 7.
Course Modules:
Module 01:
Basic Python for Engineers:
Variables in Python,
Data type in Python
Operators and operations in Python
List, Arrays, Tuple, Set, Dictionary, Data frame in Python
Methods in Python
Conditions & nested conditions in python
Loop & nested loop in Python
Big Data Manipulation from Excel sheet
Matrix Operations
Function Development
Solution of Differential Equations (ODE): 1st and 2nd Order
Solution of eigenvalue and eigenvector problems
Module 02:
Data Visualization with Python:
Graph & Chart Plotting with Matplotlib
Module 03:
Fundamentals of Structural Dynamics :
Problem Modeling
Single degree of freedom
Damped, Undamped, Overdamped & Critically damped motion
Undamped free vibration
Viscously damped free vibration
Harmonic excitation without damping
Harmonic excitation with damping
Dynamic Factor analysis
Resonance
Multi-degree freedom system
Eigenvalue Problem & Modal Analysis
Mode superposition method
List of Python Libraries that will be used in this course :
Pandas, Numpy, Matplotlib, Sympy, Pygame, etc.
Course Instructor:
Hrb Ranjan,
BSc Eng., BUET
5 Years of Experience in Data Analysis with Python
Hope new things learn
Course fee is much more for me. If It’s 5000 consider for than i will be able enroll