Fall 1

• MA.221: Analysis I: Real Anaysis
• E2.202: Random Processes
• E2.212: Matrix Theory
• E2.201: Information Theory
• E2.205: Error Control Coding
• E2.211: Digital Communications
• E2.221: Communication Networks
• E0.225: Design and Analysis of Algorithms
• E0.251: Data Structures and Algorithms

Spring 1

• MA.222: Analysis II : Measure and Integration
• E1.244: Estimation and Detection Theory
• E2.204: Stochastic Processes and Queueing Theory
• MA.318: Combinatorics
• E1.254: Game Theory
• E2.334: Topics in Computation over Networks
• E2.336: Foundations of Machine Learning

Fall 2

• MA.361: Probability Theory
• MA.368: Martingales and Brownian Motion
• E2.207: Concentration Inequalities
• E2.230: Network Science and Modeling
• E0.259: Data Analytics
• Ea.bcd: Topics in Stochastic Control

Spring 2

• E0.265: Convex Optimization and Applications
• E0.220: Graph Theory and Combinatorics
• MA.390: Percolation Theory

Fall 3

• MA.369: Random Matrix Theory
• MA.223: Functional Analysis