The following presents a comprehensive list of the courses I successfully completed during my Master's program. Within this repository, you will find the lecture notes, along with supplementary reference materials relevant to the courses I have taken. Furthermore, you will have the opportunity to review my course assignments, each of which is stored in dedicated repositories, conveniently linked below.
| Course | Website | Notes | Cheatsheet | Project |
|---|---|---|---|---|
| Fundamentals of Mathematical Statistics (AS 2022) | 🌍 | 📚 | 📃 | |
| Time Series Analysis (AS 2022) | 🌍 | 📚 | ||
| Analysis of Variance and Experimental Design (AS 2022) | 📚 | 📃 | ||
| Natural Language Processing (AS 2022) | 🌍 | 📚 | ||
| Graph Theory (SS 2023) | 📚 | |||
| Statistical Learning Theory (SS 2023) | 🌍 | 📚 | 📃 | 🎓 |
| Network & Integer Optimization (SS 2023) | 📚 | |||
| Topological Data Analysis (SS 2023) | 🌍 | 📚 | 🎓 | |
| Advanced Topics in Machine Learning (AS 2023) | 📃 | |||
| Guarantees in Machine Learning (AS 2023) | 🌍 | 📚 | 🎓 | |
| Probabilistic Artificial Intelligence (AS 2023) | 🌍 | 📚 | 📃 | 🎓 |
| Random Topology (ICL-SS 2024) | 🌍 | 📚 |
*NLP Projects and summary can't be uploaded yet by request from the professor himself.