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Fall 2017

Suggested courses of interest are:

  • CME 238: Artificial Intelligence in Financial Technology (MS&E 446) Survey the current Financial Technology landscape through the lens of Artificial Intelligence applications, with emphasis in 4 areas: Payments, Blockchain and Cryptocurrencies, Robo-Advisory, and Marketplace Lending. Students work in groups of 4 to develop an original financial technology project, research paper or product prototype within a chosen area. Final project posters to be presented to the class and posted online. Top posters to be selected and presented at the Stanford Financial Technology conference in January. Classes will alternate between industry speakers, lectures and scheduled group meetings with teaching team. Advanced undergraduates, graduate students, and students from other Schools are welcome to enroll. Prerequisites: Basic programming skills, knowledge of design process, introductory statistics. No formal finance experience required. Enrollment is capped at 32. Terms: Aut | Units: 3 | Repeatable for credit | Grading: Letter (ABCD/NP) Instructors: Giesecke, K. (PI) ; Jain, K. (PI) ; Sadhwani, A. (TA)
  • CSRE 51K: Election 2016 (HISTORY 51K, POLISCI 51K) The 2016 Presidential Election season has been anything but ordinary. So much in the Democratic and Republican primaries consistently defied conventional wisdom and upended the predictions of experts. This course will attempt, with the help of distinguished guests, to make sense of an election that defies all historical precedent and to take stock of the health of American democracy.nClass is jointly offered for Continuing Studies students and Stanford students. As a 1 unit, online course for Stanford students, enrollment is unlimited. Registration for the course offers online access to a livestream of each class session, participation in online discussions, access to course website and materials, and admission to a lottery for attending each class in person. Terms: Aut | Units: 1 | Grading: Satisfactory/No Credit Instructors: Kennedy, D. (PI) ;  Reich, R. (PI) ; Steyer, J. (PI)
  • MGTECON 513: Platform Competition in Digital Markets. This class will analyze the economics of digital platform markets. The class format will consist of lectures and guest speakers. Concepts will be presented in the context of leading examples of internet and technology platforms such as online advertising, computing technology platforms (e.g. mobile), marketplaces, social networks, cloud computing, and financial technology platforms. The course will begin with economic definitions of platform markets, and it will review the most important insights from recent research in economic theory and strategy. It will then consider the role of scale economies and network effects in determining the dynamics of platform competition and long-run industry structure. Next, the class will consider key strategic decisions for firms, including entry strategies, vertical integration and exclusive deals. Units: 2 | Grading: GSB Student Option LTR/PF Instructors: Athey, S. (PI)
  • COMM 124: Lies, Trust, and Tech (COMM 224). Deception is one of the most significant and pervasive social phenomena of our age. Lies range from the trivial to the very serious, including deception between friends and family, in the workplace, and in security and intelligence contexts. At the same time, information and communication technologies have pervaded almost all aspects of human communication, from everyday technologies that support interpersonal interactions to, such as email and instant messaging, to more sophisticated systems that support organization-level interactions. Given the prevalence of both deception and communication technology in our personal and professional lives, an important set of questions have recently emerged about how humans adapt their deceptive practices to new communication and information technologies, including how communication technology affects the practice of lying and the detection of deception, and whether technology can be used to identify deception. Terms: Aut | Units: 4-5 | UG Reqs: WAY-SI | Grading: Letter (ABCD/NP) Instructors: Hancock, J. (PI) ; Abeles, A. (TA) ; Chang, S. (TA) ; Suh, A. (TA)
  • MS&E 193: Technology and National Security (MS&E 293) The interaction of technology and national security policy from the perspective of history to implications for the new security imperative, homeland defense. Key technologies in nuclear and biological weapons, military platforms, and intelligence gathering. Policy issues from the point of view of U.S. and other nations. The impact of terrorist threat. Guest lecturers include key participants in the development of technology and/or policy. Terms: Aut | Units: 3 | UG Reqs: WAY-SI | Grading: Letter or Credit/No Credit. Instructors: Ellis, J. (PI) ; Felter, J. (PI) ; Hecker, S. (PI) ; Perry, W. (PI) ; DuBois, P. (TA) ; Gupta, V. (TA) ; Kim, R. (TA) ; Matthews, I. (TA) ; Olney, R. (TA) ; Sorenson, Z. (TA)
  • IPS 232: Hacking for Diplomacy: Tackling Foreign Policy Challenges with the Lean Launchpad (MS&E 298) At a time of significant global uncertainty, diplomats are grappling with transnational and cross-cutting challenges that defy easy solution including: the continued pursuit of weapons of mass destruction by states and non-state groups, the outbreak of internal conflict across the Middle East and in parts of Africa, the most significant flow of refugees since World War II, and a changing climate that is beginning to have impacts on both developed and developing countries. While the traditional tools of statecraft remain relevant, policymakers are looking to harness the power of new technologies to rethink how the U.S. government approaches and responds to these and other long-standing challenges. In this class, student teams will take actual foreign policy challenges and learn how to apply lean startup principles, ("mission model canvas," "customer development," and "agile engineering¿) to discover and validate agency and user needs and to continually build iterative prototypes to test whether they understood the problem and solution. Teams take a hands-on approach requiring close engagement with officials in the U.S. State Department and other civilian agencies. Team applications required at the end of shopping period. Limited enrollment. Terms: Aut | Units: 3-4 | Grading: Letter (ABCD/NP) Instructors: Blank, S. (PI) ; Felter, J. (PI) ; Weinstein, J. (PI)

Dan Boneh is teaching a fall 2018 course on Bitcoin; for a preview, see his SCPD webinar on the future of Bitcoin and cyber security.