This is a repository that consists of some of the most enjoyable projects I have completed throughout my Physics undergraduate degree. All of these classes were taken at A&M Univeristy. Each course had a few highlighting assignments and I wanted to share how I tackled these intoductory questions. This is all my own work, but the assignments and questions that I tackle in each folder are the work of the professor assigned to the course (you can find them along with the couse description below).
Taught by: Dr. Jennifer Marshall
Course Description: Background and tools used in modern astrophysical research, including reduction of photometric and spectroscopic data, signal-to-noise and error calculations and order-of-magnitude estimates.
Taught by: Dr. Jonelle Walsh
Course Description: Advanced research techniques used by modern-day astronomers to obtain, process and analyze data from grounds and space-based telescopes.
These projects consists of Tutorials that describe the assignments given to the class throughout the semester.
[NOTE: I am currently working on uploading the code for each task completed, however it will take some time. This class was done with a vertual enviornment (Ubuntu) and I am still attempting to move over these large files onto my main machine.]
Taught by: Dr. Louis Stragari
Course Descrition: How stars are born, how internal structure changes, nuclear fuel burned and ultimate fate; extrasolar planet detection, formation, properties and habitability
Taught by: Dr. Lifan Wang
Course Descrition: Physical makeup of individual galaxies and large scale structure in the universe; origin and eventual fate of the universe; interpretation of observational data as it relates to baryonic matter, Dark Matter and cosmological models with Dark Energy.
Taught by: Dr. George Welch
Course Descrition: Laboratory experiments in modern physics and physical optics with an introduction to current, state-of-the-art recording techniques.
This folder holds the lab reports that I enjoyed in my undergraduate physics lab.
Taught by: Dr. Shahina Rahman
Course Descrition: Theoretical foundations, algorithms and methods of deriving valuable insights from data; includes foundations in managing and analyzing data at scale, e.g. big data; data mining techniques and algorithms; exploratory data analysis; statistical methods and models; data visualization.