This repo is for code I wrote for problems assigned as part of my graduate level classes or solutions for related problems.
Classes taken during the PhD in Computer Science program (2023- ongoing):
- Algorithms and Data Structures (Theory)
- Autonomous driving and edge computing (Python and Github)
- Deep Learning (PyTorch)
- Deep Transfer Learning (PyTorch)
- Data Mining and Decision Making (Python)
- Independent Research in improving Lane Detection algorithms (computer vision with PyTorch)
Classes taken during MS in Computer Science program (2017-2020):
- Linear Programming (used AMPL)
- Network Optimization (used Python)
- Supply Chain Optimization (used Python)
- Computing (used multiple tools and languages, including R)
- Probability (Theory)
- Data Mining (using R)
- Big Data (using Hadoop, MapReduce, Spark, Scala, and AWS)
- Network Location Theory (used AMPL & R)
- Simulation and Modeling (used R and SIMAN/Arena)
- Applied Linear Regression (used R, Minitab, and Excel)
- Database Management (MySQL)
Self-learning subjects:
- Algorithms
- Machine Learning (Neural Networks)
- Mathematical Statistics