#This repository contains implementations of key concepts in simulation and modeling, focusing on numerical computations, data visualization, and matrix operations using Python. The tasks include:

Tasks:
✅ Generate two vectors with 15 random floats each, plot them on the same graph, label the axes, and add a title.
✅ Create a 4×4 matrix with random values, visualize it as a heatmap, and label the rows and columns.
✅ Generate two 4×4 matrices, perform addition, subtraction, and multiplication, visualize the results using bar plots, and analyze the effects.

Concepts Covered:
Random number generation
Data visualization using Matplotlib & Seaborn
Matrix operations (addition, subtraction, multiplication)
Heatmaps and bar plots for data representation
What I Learned:
1.How to generate and manipulate numerical data in Python
2.The importance of visualization in understanding data patterns
3.The effects of mathematical operations on matrices
Course & Assignment Details:
University: University of Information Technology and Sciences
Course: Simulation and Modelling Lab
Student: Sheikh Muhammad Asaj Ibtisam Nipun
ID: 2215151017