Delve into the economic fundamentals and business strategies of sustainable real estate development, management, and investment. In this highly interactive course, you will join real estate professionals from around the world to develop the analytical skills and frameworks you need to approach sustainability as a real estate business strategy.

Julian Shun is an Associate Professor of Electrical Engineering and Computer Science at MIT and a lead investigator in MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on the theory and practice of parallel algorithms and programming, with particular emphasis on designing algorithms and frameworks for large-scale graph processing and spatial data analysis. He also studies parallel algorithms for text analytics, concurrent data structures, and methods for deterministic parallelism. Prior to joining MIT, he was a postdoctoral Miller Research Fellow at UC Berkeley. His honors include the NSF CAREER award, DOE Early Career Award, ACM Doctoral Dissertation Award, the CMU School of Computer Science Doctoral Dissertation Award, Google Faculty Research Award, Google Research Scholar Award, SoE Ruth and Joel Spira Award for Excellence in Teaching, Facebook Graduate Fellowship, and best paper awards at PLDI, SPAA, CGO, and DCC.

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Graph analytics provides a valuable tool for modeling complex relationships and analyzing information. In this course, designed for technical professionals who work with large quantities of data, you will enhance your ability to extract useful insights from large and structured data sets to inform business decisions, accelerate scientific discoveries, increase business revenue, improve quality of service, detect fraudulent behavior, and/or defend against security threats. 
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Yossi Sheffi

Professor Yossi Sheffi is Director of the MIT Center for Transportation and Logistics (CTL), and Director and Founder of the Master of Engineering in Logistics Program. He is an expert in systems optimization, risk analysis and supply chain management. Dr. Sheffi has been recognized in numerous ways in academic and industry forums, including the 1997 Distinguished Service Award given by the Council of Supply Chain Management Professionals. He is also a life fellow of Cambridge University’s Clare Hall College.

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Mark Roberts

Mark G. Roberts, CFA, AIA currently serves as the Executive Director of the Real Estate Center at the UT McCombs School of Business and has over 30 years of commercial real estate experience. Prior to this, he served as a Managing Director at DWS and held several senior leadership positions including Head of Research & Strategy, Alternatives and Real Assets, Head of U.S. Multi-asset & Solutions and Co-Head of Research for DWS. He led the research teams that support the firm’s global real estate investment process which also included developing the firm’s ESG strategy. He also led the portfolio management team responsible for over $2 billion in multi-asset strategies. From 1995 until joining DWS in June 2011, he served as Global Head of Research of Invesco Real Estate. From 2003 to June 2011, Mr. Roberts was Chairman of the firm’s investment strategy group and also served as a member of various Executive and Investment Committees. Prior to joining Invesco Real Estate in 1995, Mr. Roberts previously served as an architect and also Director of Construction/Development for Club Corp International Inc., a global hospitality company. He has also served as the Chairman of the Board of NCREIF and was the former President of RERI, and a member of the NCREIF Fund - Index Subcommittee which developed the NFI - ODCE Index. He currently serves on the Leadership Committee of the Global Real Estate Fund Index (a consortium which includes NCREIF, Inrev- Europe and Anrev - APAC) and also serves on the PREA Research Committee. Mr. Roberts holds an M.S. in Real Estate Development from the Massachusetts Institute of Technology, a B.A. in Architecture from the University of Illinois at Urbana. He is a Fellow of both the Real Estate Research Institute and the Homer Hoyt Institute.

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An active area of research, reinforcement learning has already achieved impressive results in solving complex games and a variety of real-world problems. However, organizations that attempt to leverage these strategies often encounter practical industry constraints. In this dynamic course, you will explore the cutting-edge of RL research, and enhance your ability to identify the correct approach for applying advanced frameworks to pressing industry challenges.