Freshman Year Projects
ME357: Introduction to CAD and Machine Components
In ME357, I completed weekly projects using SolidWorks. For most assignments, we were provided with a drawing to create a 3D part from, and then we were required to submit the drawing we had created. One of my favorite projects in the class was the 4-bar linkage project, which spanned over four weeks.
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Cap Drawing
1st 3D Model Project
Linkage Parts
EK131- Introduction to Engineering: Hands On
EK131 was my first engineering design class at Boston University. In this class, I constructed a temperature sensor that lights up and produces sound via a buzzer if the sensed temperature exceeded or fell below the specified condition I had coded.
Through this project, I gained insight into the comprehensive design process necessary for creating a successful project, encompassing freehand sketching, CAD modeling, circuit prototyping, soldering, troubleshooting, and more. I also acquired a fundamental understanding of key engineering concepts and materials, including various components such as microcontrollers, power supplies, LCD screens, how these components collaborate, basic Arduino coding, and circuit concepts like Ohm's Law.
Although it presented challenges, I now feel confident in my ability to apply this foundational knowledge to construct similar engineering projects.
EK125- Introduction to Programming for Engineers
In Ek125, I've learned to code in MATLAB, C/C++. Below are few of the projects and concepts I've applied in the class.
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1. Matlab Data Analysis- Diabetes Patients
For my data analysis project, I utilized the Machine Learning MATLAB toolbox to analyze data from diabetes patients. My goal for this project was to identify which category exhibited the most significant differences between patients with diabetes and those without it, helping me understand which category had the most impact on diabetes.
This project provided me with a preliminary understanding of the concept of machine learning, involving data input and training to predict outcomes. Additionally, I learned about the critical importance of data organization before analysis.
In my analysis, I chose to create bar graphs for eight categories: glucose level, skin thickness, number of pregnancies, blood pressure, insulin level, age, pedigree level, and BMI to visualize the data. Furthermore, I generated a chart comparing the averages of diabetics and non-diabetics for each category
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2. Matlab Data Analysis- Quizzes & Test Scores
In this project, our task was to clean up the data and analyze it by completing tasks such as removing NaN values from the dataset, organizing a struct into a table, and creating bar graphs for improved visual data representation.
We subsequently generated a correlation graph between quizzes and tests, ultimately concluding that a clear positive correlation exists between them.
Through this project, I gained a foundational understanding of data cleaning and analysis concepts.
3. C/C++ Concepts
One of the hardest concepts in C++ was the linked list.
Here are some of the codes I've done for small projects in C/C++.
