# Course Work at UIUC

## Statistics

- STAT 432 (Fall 2018): Basics of Statistical Learning [[Link to repository](https://github.com/SNaveenMathew/Stats-UIUC/tree/master/STAT432)]
- STAT 430 (Fall 2018): Machine Learning in Finance [[Link to the repository](https://github.com/SNaveenMathew/Stats-UIUC/tree/master/STAT430)]
- STAT 510 (Fall 2018): Mathematical Statistics I [no repository]
- STAT 425 (Fall 2018): Applied Regression and Design [[Link to the repository](https://github.com/SNaveenMathew/Stats-UIUC/tree/master/STAT425)]
- STAT 428 (Fall 2018): Statistical Computing [[Link to the repository](https://github.com/SNaveenMathew/Stats-UIUC/tree/master/STAT428)]
- STAT 590 (Spring 2019): Independent Study / Research [no repository; refer "Applications of machine learning and deep learning in finance" in [this](index.md#research) section]
- STAT 430 (Spring 2019): Data Science Programming Methods [no repository; course project in intersection of deep learning and astronomy; see Astronomy section below]
- STAT 426 (Spring 2019): Sampling and Categorical Data Analysis [[Link to the repository](https://github.com/SNaveenMathew/Stats-UIUC/tree/master/ASTR426)]
- STAT 542 (Fall 2019): Statistical Learning [[Link to the repository](https://github.com/SNaveenMathew/Stats-UIUC/tree/master/STAT542)]

## Astronomy (yes, you read it right!)

- ASTR 596 (Spring 2019): AI and Big Data in Astronomy [[Link to the repository](https://github.com/SNaveenMathew/Stats-UIUC/tree/master/ASTR596)] [[STAT 430 project](https://github.com/SNaveenMathew/Stats-UIUC/tree/master/ASTR596)]
- ASTR 510 (Fall 2019): Computational Astrophysics [[Link to the repository](https://github.com/SNaveenMathew/Stats-UIUC/tree/master/ASTR510); got several new ideas; will write a blog shortly]

## Industrial Engineering

- IE 534 (Fall 2019): Deep Learning [[Link to the repository](https://github.com/SNaveenMathew/Stats-UIUC/tree/master/IE534)]