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  1. We continue the idea (from last time) of playing a best response to what we believe others will do. More particularly, we develop the idea that you should not play a strategy that is not a best response for any belief about others' choices. We use this idea to analyze taking a penalty kick in soccer. Then we use it to analyze a profit-sharing partnership. Toward the end, we introduce a new notion: Nash Equilibrium.

  2. Bias/variance Tradeoff, Empirical Risk Minimization (ERM), The Union Bound, Hoeffding Inequality, Uniform Convergence - The Case of Finite H, Sample Complexity Bound, Error Bound, Uniform Convergence Theorem & Corollary

  3. Biased random walks, distributions

  4. Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.

  5. Binary search, bubble and selection sorts

  6. Hennessy explains that the Clark Center is important to the future of Stanford because it represents the growing importance of biology to the coming century.  It is a radical organization for a university because it brings together faculty from a broad range of departments in an attempt to understand the translation between basic science and the applications of basic science.

  7. Yock talks about the Biotech bay - the other Silicon Valley, and how the products offered are based on the science of genetics. Medtech focuses on instruments, equipments, and is not a trivial market sector, he says. The Bay has titans like J&J, Guidant, and Boston scientific, for example. There is significant start up funding into the Medtech sector. Half to two thirds of venture funding for Medtech goes into Northern California, he adds.

  8. Bisection methods, Newton/Raphson, introduction to lists

  9. Black Conservatism

  10. Black Debate