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YaleCourses

Yale's philosophy of teaching and learning begins with the aim of training a broadly based, highly disciplined intellect without specifying in advance how that intellect will be used. The Yale Courses channel provides entry into the core of the University--its classrooms and academic programs--including complete sets of lectures from the Open Yale Courses initiative. Complementary syllabi, transcripts, and other resources may also be accessed from the Open Yale Courses website listed below.

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online.yale.edu: http://online.yale.edu

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  • Avg 42 min
  • English

Episodes 644

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  • September 27 · 21 min

    6.5 | Mastering Your SRS Template for Medical Software Course

    In this lesson, we dive into the critical components of a System Requirement Specification (SRS) template, essential for any medical software development. We'll explore each section, from the cover page to functional and non-functional requirements, and learn how to draft precise, testable requirements that drive successful project outcomes. We also discuss the often-overlooked yet vital "significance" section and the impact of "intended use" on regulatory clearance. 🎯 Learning Objectives • Identify the key sections of a System Requirement Specification (SRS) document. • Understand the purpose and importance of each SRS section, including significance and intended use. • Differentiate between functional and non-functional requirements in medical software development. • Learn the characteristics of a well-written requirement, focusing on testability and appropriate abstraction. • Explain how a change in the intended use of medical software can impact regulatory clearance. Learn more about your ad choices. Visit megaphone.fm/adchoices

  • September 27 · 12 min

    11.5 | Navigating Singapore AI/ML Med Device Regs: A Dive into Guidelines — Medical Software Course

    How are AI/ML medical devices regulated in Singapore? In this lesson, we take a detailed look at the Health Sciences Authority's (HSA) regulatory guidelines for software medical devices, focusing specifically on artificial intelligence and machine learning applications. We'll explore the unique requirements for pre-market submissions, delve into considerations for continuously learning systems, and understand the critical aspects of post-market monitoring to ensure safety and effectiveness. 🎯 Learning Objectives • Understand Singapore's regulatory framework for AI/ML medical devices. • Identify key pre-market submission requirements for AI-MDs, including dataset and model documentation. • Explain considerations for continuously learning AI/ML systems, such as bias prevention and rollback capabilities. • Describe the importance of post-market monitoring for AI/ML medical devices to prevent performance drift. • Recognize the challenges and future outlook for regulating AI/ML in medical software. Learn more about your ad choices. Visit megaphone.fm/adchoices

  • September 27 · 1 hr 17 min

    13. Sequential games: moral hazard, incentives, and hungry lions

    Game Theory (ECON 159) We consider games in which players move sequentially rather than simultaneously, starting with a game involving a borrower and a lender. We analyze the game using "backward induction." The game features moral hazard: the borrower will not repay a large loan. We discuss possible remedies for this kind of problem. One remedy involves incentive design: writing contracts that give the borrower an incentive to repay. Another involves commitment strategies; in this case providing collateral. We consider other commitment strategies such as burning boats. But the key lesson of the day is the idea of backward induction. 00:00 - Chapter 1. Sequential Games: Backward Induction 17:57 - Chapter 2. Sequential Games: Moral Hazard 29:50 - Chapter 3. Sequential Games: Incentive Design 44:29 - Chapter 4. Sequential Games: Commitment Strategies 01:01:06 - Chapter 5. Sequential Games: Backward Induction Is Really Important Complete course materials are available at the Yale Online website: online.yale.edu This course was recorded in Fall 2007. Learn more about your ad choices. Visit megaphone.fm/adchoices

  • September 27 · 1 hr 23 min

    19. Subgame perfect equilibrium: matchmaking and strategic investments

    Game Theory (ECON 159) We analyze three games using our new solution concept, subgame perfect equilibrium (SPE). The first game involves players' trusting that others will not make mistakes. It has three Nash equilibria but only one is consistent with backward induction. We show the other two Nash equilibria are not subgame perfect: each fails to induce Nash in a subgame. The second game involves a matchmaker sending a couple on a date. There are three Nash equilibria in the dating subgame. We construct three corresponding subgame perfect equilibria of the whole game by rolling back each of the equilibrium payoffs from the subgame. Finally, we analyze a game in which a firm has to decide whether to invest in a machine that will reduce its costs of production. We learn that the strategic effects of this decision--its effect on the choices of other competing firms--can be large, and if we ignore them we will make mistakes. 00:00 - Chapter 1. Sub-game Perfect Equilibria: Example 27:22 - Chapter 2. Sub-game Perfect Equilibria: Matchmaking 34:31 - Chapter 3. Matchmaking: SPEs of the Game 49:37 - Chapter 4. Sub-game Perfect Equilibria: Strategic Investments 01:13:15 - Chapter 5. Strategic Investments: Discussion Complete course materials are available at the Yale Online website: online.yale.edu This course was recorded in Fall 2007. Learn more about your ad choices. Visit megaphone.fm/adchoices

Showing 641–644 of 644 episodes