John N. Tsitsiklis – Teaching, current and past

Current and (relatively) recent teaching

• 6.041/6.431, Introduction to Probability (Fall 2018, Fall 2019)
  
• 6.s077, Introduction to Data Science< (Spring 2018)
• 6.231, Dynamic Programming and Stochastic Control (Fall 2010, Spring 2017)
• 6.251/15.081, Introduction to Mathematical Programming (Fall 2016)
• 6.436J/15.085J, Fundamentals of Probability (Fall 2015)
• 6.986, Network Science and Models (Spring 2011)

Online

• 6.431x, Introduction to Probability - The Science of Uncertainty and Data (since 2018)
  (Part of the MIT MicroMasters Program in Statistics and Data Science)
  Earlier versions offered as 6.041x (2014-2018)

Other courses taught in the past

• 6.003, Signals and Systems
• 6.255, Communication and Computation in Distributed Systems
• 6.262, Discrete Stochastic Processes
• 6.263, Data Communication Networks
• 6.291, Parallel and Distributed Algorithms
• 6.291, Intelligent Decision and Control Using Neural Networks
• 6.432, Stochastic Processes and Applications
• 6.441, Transmission of Information
• 6.971, Stochastic and Dynamic Scheduling and Optimization
• 15.060, Data, Models, and Decisions

• EE378A, Signal Estimation and Detection. `
• EE390, Topics in Decentralized Decision Making and Control
• EE378B, Fast Algorithms for Signal Processing