School-work

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):

1. Algorithms and Data Structures (Theory)
2. Autonomous driving and edge computing (Python and Github)
3. Deep Learning (PyTorch)
4. Deep Transfer Learning (PyTorch)
5. Data Mining and Decision Making (Python)
6. Independent Research in improving Lane Detection algorithms (computer vision with PyTorch)

Classes taken during MS in Computer Science program (2017-2020):

1. Linear Programming (used AMPL)
2. Network Optimization (used Python)
3. Supply Chain Optimization (used Python)
4. Computing (used multiple tools and languages, including R)
5. Probability (Theory)
6. Data Mining (using R)
7. Big Data (using Hadoop, MapReduce, Spark, Scala, and AWS)
8. Network Location Theory (used AMPL & R)
9. Simulation and Modeling (used R and SIMAN/Arena)
10. Applied Linear Regression (used R, Minitab, and Excel)
11. Database Management (MySQL)

Self-learning subjects:

1. Algorithms
2. Machine Learning (Neural Networks)
3. Mathematical Statistics