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  1. This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.

  2. Introduction to Computer Science I is a first course in computer science at Harvard College for concentrators and non-concentrators alike. More than just teach you how to program, this course teaches you how to think more methodically and how to solve problems more effectively. As such, its lessons are applicable well beyond the boundaries of computer science itself. That the course does teach you how to program, though, is perhaps its...more

  3. Continuation of Convex Optimization I. Topics include: Subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition. Alternating projections. Exploiting problem structure in implementation. Convex relaxations of hard problems, and global optimization via branch & bound. Robust optimization. Selected applications in areas such as control, circuit design, signal processing, and...more

  4. In this course, we will seek to interpret capitalism using ideas from biological evolution: firms pursuing varied strategies and facing extinction when those strategies fail are analogous to organisms struggling for survival in nature. For this reason, it is less concerned with ultimate judgment of capitalism than with the ways it can be shaped to fit our more specific objectives – for the natural environment, public health, alleviation...more

  5. Topics include: Advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms; the functional paradigm (using LISP) and concurrent programming (using C and C++); brief survey of other modern languages such as Python, Objective C, and C#. Prerequisites: Programming and problem solving at the Programming Abstractions level. Prospective students should know a reasonable amount of C++....more

  6. This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.

  7. The Education for Sustainable Living Program (ESLP), ESLP is a student designed, student developed, and student facilitated program offered through the Institute of the Environment. The Speaker Series brings guest speakers from UCLA and across the country to speak on specialized subjects including food systems, green business, organic gardens, sustainable living, the green economy, environmental justice, transportation, as well as

    The Energy Seminar is produced by the Woods and Precourt Institutes and is comprised of an interdisciplinary series of talks primarily by Stanford experts on a broad range of energy topics.

  8. The course is an introduction to Dante and his cultural milieu through a critical reading of the Divine Comedy and selected minor works (Vita nuova, Convivio, De vulgari eloquentia, Epistle to Cangrande). An analysis of Dante's autobiography, the Vita nuova, establishes the poetic and political circumstances of the Comedy's composition. Readings of Inferno, Purgatory and Paradise seek to situate Dante's work within the intellectual and...more

  9. The internal organization and operation of digital computers. Machine architecture, support for high-level languages (logic, arithmetic, instruction sequencing) and operating systems (I/O, interrupts, memory management, process switching). Elements of computer logic design. Tradeoffs involved in fundamental architectural design decisions.

  10. Building blocks and case studies on the financial analysis and valuation of public equities.