Course Work

Stanford AI Certification

• CS229: Machine Learning

• CS231N: Convolutional Neural Networks for Visual Recognition

• CS228: Probabilistic Graphical Models

• CS224W: Analysis of Networks

CS Theory

• CS644: Finite Automata on Infinite Input

• CS687: Algorithmic Information Theory

• CS640: Computational Complexity

• CS698D: Data Compression

• CS340: Theory of Computation

• CS201: Discrete Mathematics

• CS302: Mathematical Logic

Algorithms

• CS698C: Semidefinite Programming

• CS648: Randomized Algorithms

• CS698T: Approximation Algorithms

• CS345: Algorithms-II

• ESO211: Data Structures & Algorithms

Mathematics

• SE356: Convex Optimizations

• PHI455: Non–classical Logic

• MTH102: Linear Algebra & Complex Analysis

• MTH101: Real Analysis & Multivariate Calculus

• MTH203: Differential Equations

Machine Learning & Artificial Intelligence

• CS771: Machine Learning: Tools, Techniques & Applications

• CS365: Artificial Intelligence & Programming

Systems & Programming

• CS350: Principles of Programming Languages

• CS425: Computer Networks

• CS315: Database Management System

• CS335: Compiler Design

• CS330: Operating System

• CS220: Computer System & Organization

• ESC101: Introduction to Computing

• ESC102: Introduction to Electronics