Engineering-Computation-Lab-1

Compilation of the final project design and exercise files for Engineering Lab 1: Computation class (ENGR-102) in the College of Engineering at Texas A&M University

Final Project

This is a collection of Python functions for handling, analyzing, and plotting scientific data, used for an engineering computation class project. Here’s what it does:

Main Features:

1. Data Handling and Plotting:

   • Reads numeric data from files, extracts variable names/units, and stores the data.
   • Plots data as histograms or scatter plots, depending on the number of variables.
   • Allows linear interpolation between data points.

2. Function Evaluation:

   • Loads mathematical functions from a file.
   • Plots these functions over a specified range.
   • Numerically integrates a selected function over a given interval using the trapezoidal rule.

3. Text File Analysis:

   • Counts occurrences of specific words in text files.
   • Finds and reports lines containing certain strings.
   • Processes a batch of files to extract scientific measurements (e.g., fuel rod diameter, pitch, nuclear multiplication factor), calculates derived values (like moderator-to-fuel ratio), and plots relationships between these values.

Typical Usage:

• The file is meant for engineering/scientific students to automate data analysis and visualization tasks, especially those involving experimental data and result reporting.
• Some functions prompt for user input (for example, choosing variables for interpolation), while others are designed for batch processing or plotting.

Exercise Files

Summary

This folder is a collection of exercises to help students of the engineering course better develop their python programming skills by using fundamental programming concepts and computational programming.