Teaching

• Reinforcement Learning Theory (Winter 2020, Fall 2020, Winter 2022, Winter 2024) (Slides and book draft)
• Probability and Random Processes (Fall 2021, Fall 2023)
• Communication Networks (Winter 2020, Winter 2021, Winter 2023) (Slides)
• Networking for Big Data (Spring 2016)
• Stochastic Modelling and Resource Allocation in Networks (Fall 2014)
• Random Signal Theory (Spring 2014, Fall 2017)
• Random Signal Analysis (Spring 2013, Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2018)
• Probabilistic Methods for Electrical Engineers (Fall 2010)
• Computer Networking and Data Communications (Spring 2008, Spring 2010)
• Resource Allocation in Communication Networks (Fall 2008, Fall 2009, Fall 2011, Fall 2012)
• Program Discovery (Fall 2008, Fall 2010)