Teaching

• EE276: Information Theory, Winter 2022
• EE278: Introduction to Statistical Signal Processing, Fall 2021
• EE374: Internet-Scale Consensus in the Blockchain Era, Winter 2021
• EE278: Introduction to Statistical Signal Processing, Fall 2020
• EE374: Scaling Blockchains, Spring 2020
• EE372: Data Science for High Throughput Sequencing, Winter 2018
• EE103/CME103: Introduction to Matrix Methods, Autumn 2017
• EE278: Introduction to Statistical Signal Processing, Spring 2017
• EE376A: Information Theory (STATS 376A), Winter 2017
• EE178: Probabilistic System Analysis, Autumn 2016
• EE372: Data Science for High Throughput Sequencing, Spring 2016
• EE178: Probabilistic System Analysis, Spring 2015
• EE278: Introduction to Statistical Signal Processing, Autumn 2014
• EE178: Probabilistic System Analysis, Spring 2014

Previous Teaching

• EE 178/278A: Probabilistic System Analysis
• EE 20: Structure and Interpretation of Systems and Signals. (Berkeley)
• EE 229A: Information Theory and Coding (Berkeley)
• CS 70: Discrete Mathematics and Probability Theory (Berkeley, joint with David Wagner, Alistair Sinclair and Satish Rao) (notes from an offering of the course in 2009 can be found here.)
• 290S: Network Information Flow (Berkeley, joint with Anant Sahai)
• EE 226A: Random Processes in Systems (Berkeley)
• EE 121: Introduction to Digital Communication Systems (Berkeley)
• EE 122: Communication Networks (Berkeley, joint with Abhay Parekh)
• EE 126: Probability and Random Processes (Berkeley)
• EE 224: Digital Communications (Berkeley)
• EE 290Q: Advanced Topics in Communication Networks (Berkeley)