Deep Learning on Graph Structure Data - Fall 2024 - Course Website

Machine Learning Theory, Spring 2023,    A course focused on the theoretical foundations of machine learning, including concepts like PAC learning, VC dimension, and various algorithmic approaches.

High Dimensional Probability, Spring 2022,    This course covers probabilistic techniques and their applications in high-dimensional data analysis, with a focus on concentration inequalities and random matrices.

Artificial Intelligence (Head TA), Spring 2022,    A comprehensive course on AI, exploring topics like search algorithms, logic, probabilistic reasoning, and machine learning. 

Compiler Design, Fall 2021,  A course dedicated to the design and implementation of compilers, covering lexical analysis, parsing, semantic analysis, optimization, and code generation.

Machine Learning, Fall 2021,   This course provides an introduction to machine learning algorithms, including supervised and unsupervised learning, and neural networks.

Introduction to Bioinformatics, Fall 2021,    An introductory course on bioinformatics, focusing on computational methods for analyzing biological data, including sequence alignment and gene prediction.

Game Theory, Fall 2021,    A course exploring strategic interaction among rational decision-makers, including topics like Nash equilibrium, subgame perfection, and repeated games.

Design Of Algorithms, Fall 2021,    This course covers algorithm design techniques such as divide-and-conquer, dynamic programming, and greedy algorithms, with a focus on complexity and efficiency.

Linear Algebra, Spring 2021,    A foundational course on linear algebra, covering vector spaces, linear transformations, eigenvalues, eigenvectors, and matrix theory.

Compiler Design, Spring 2021,    Similar to the fall course, this offering also covers the essential concepts of compiler design from lexical analysis to code generation.

Artificial Intelligence, Spring 2021    A detailed introduction to AI, focusing on search, logic, planning, and learning algorithms.

General Math 1, Fall 2020,    A basic mathematics course covering fundamental topics including algebra, calculus, and discrete mathematics.

Linear Algebra, Fall 2020,   An introductory course to linear algebra, exploring matrices, systems of linear equations, vector spaces, and linear transformations.

I have also taught an introductory course to Machine Learning (in Persian) which you can find on my Youtube Channel.