Electrical Engineering and Computer Science

Computational Probability and Inference

Probabilistic Systems Analysis and Applied Probability

Introduction to Computational Thinking and Data Science

Power Electronics

Introduction to CS and Programming using Python

Introduction to Electrical Engineering and Computer Science I

Information Theory

Understanding the World Through Data

Principles of Modeling, Simulations, and Control for Electric Energy Systems

Data Analysis: Statistical Modeling and Computation in Applications

Circuits and Electronics 3: Applications

Circuits and Electronics 2: Amplification, Speed, and Delay

Circuits and Electronics 1: Basic Circuit Analysis

Machine Learning with Python: from Linear Models to Deep Learning

Probability - The Science of Uncertainty and Data

Discrete-Time Signal Processing

Introduction to Computer Science and Programming Using Python.

Algorithmic Lower Bounds: Fun with Hardness Proofs

Introduction to Computational Thinking and Data Science

Introduction to EECS II: Digital Communication Systems