🎓 This repository contains the projects I made throughout my bachelor's and master's (Artificial Intelligence program) studies at the Faculty of Mathematics and Computer Science of the University of Bucharest, 2018-2023, as well as a variety of student-friendly materials.
📌 AI - Artificial Intelligence
📌 AML - Advance Machine Learning
📌 CG - Computational Geometry
📌 CN - Numerical Analysis (in Python)
📌 CS - Introduction to Cryptography and Network Security
📌 CV - Introduction to Computer Vision (CAVA - Concepte & Aplicații în Vederea Artificială)
📌 Db - Designing and constructing relational databases; accessing, defining and maintaining data using SQL Oracle
📌 DEA - Deontology and Academic Ethics
📌 DL - Deep Learning
📌 EDA - Exploratory Data Analysis
📌 EDDL - Emerging Directions in Deep Learning
📌 IDL - Introduction to Deep Learning
📌 IRTM - Information Retrieval & Text Mining
📌 KRR - Knowledge Representation and Reasoning
📌 MT - Machine Translation
📌 NLP1 - Natural Language Processing (Part 1)
📌 NLP2 - Natural Language Processing (Part 2)
📌 OOP - Object Oriented Programming (in C++)
📌 OS - Operating Systems
📌 PD - Declarative Programming (in Haskell)
📌 PML - Practical Machine Learning
📌 PP - Procedural Programming
📌 PSS - Problem Searching & Solving
📌 RL - Reinforcement Learning
📌 SGBD - DataBase Management Systems(in PL/SQL)
📌 SDS - Statistics for Data Science
📌 TAP - Advanced Programming Techniques
📌 TC - Introduction to Compilation Techniques
📌 TS - Introduction to Simulation Techniques
