1 - 10 of 26 results for: MS

For M.S.-level graduate students. Covers the vibrations of discrete systems and continuous structures. Introduction to the computational dynamics of linear engineering systems. Review of analytical dynamics of discrete systems; undamped and damped vibrations of N-degree-of-freedom systems; continuous systems; approximation of continuous systems by displacement methods; solution methods for the Eigenvalue problem; direct time-integration methods. Prerequisites: AA 242A or equivalent (recommended but not required); basic knowledge of linear algebra and ODEs; no prior knowledge of structural dynamics is assumed.

This course covers accounting and economic issues related to mergers, acquisitions, and divestitures. In particular, we examine the financial reporting implications of corporate control changes (e.g., consolidation, the "purchase" and "acquisition" treatments, in-process-R&D), and the income tax implications of M&A transactions (e.g., taxable vs. non-taxable, "asset" vs. "stock", etc). We also examine corporate governance issues related to firms' decision to acquire or be acquired, the M&A regulatory environment (e.g., securities regulation, anti-trust), and other factors that potentially shape the structure of M&A transactions. In covering these issues, we will discuss both the theory and practice of mergers, acquisitions, and divestitures. In addition to analyzing some specific M&A transactions (e.g., the AOL and Time Warner merger, Oracle's takeover of PeopleSoft), we will review related research in accounting, economic, and finance to gain a broader and more general perspective for the key takeaways. Class time would comprise mini lectures that introduce some of the more technical concepts, case discussions, and some guest speakers who can offer additional perspectives on these subject matters. The course is co-taught by Ron Kasznik (GSB) and Safra Catz (Oracle Corporation). Ms. Catz is President of Oracle and a member of its Board of Directors. She has led Oracle through more than 50 acquisitions in recent years (including PeopleSoft, Siebel, BEA, and Sun Microsystems). Prior to joining Oracle in 1999, Ms. Catz was Managing Director at Donaldson, Lufkin & Jenrette, a global investment bank (now part of Credit Suisse First Boston). Ms. Catz was appointed to the board of directors for HSBC Holdings plc in May 2008.

Covers Ph.D. candidacy requirements of industry problem analysis and critical literature review for post-MS students conducting research on sustainable planning, design, management, and operation of buildings and infrastructure. Identify industry problems and related research questions. Design experiments and research methods for: ethnographies, case studies, surveys, classical experiments mathematical and computational simulations. Overview of statistical methods for data analysis. Publication strategies.

For post-M.S. students interested in formal techniques for organization design. Computer simulations of organizations are used to conduct virtual experiments for developing organization theory or to analyze the performance of virtual organizations with different structures and decision support and communication technologies. Research on computational modeling and design of real-world organizations. Paper serves as a research proposal. Prerequisite: 242 or equivalent introductory organization design class.

Required for first-year ICME Ph.D. students; recommended for first-year ICME M.S. students. Presentations about research at Stanford by faculty and researchers from Engineering, H&S, and organizations external to Stanford. May be repeated for credit.

For advanced undergraduates, and M.S. and beginning Ph.D. students. Logic-based methods for knowledge representation, information change, and games in artificial intelligence and philosophy. Topics: knowledge, certainty, and belief; time and action; belief dynamics; preference and social choice; games; and desire and intention. Prerequisite: propositional and first-order logic. Recommended: modal logic; game theory.

For advanced undergraduates, and M.S. and beginning Ph.D. students. Topics: logics of knowledge and belief, other logics of mental state, theories of belief change, multi-agent probabilities, essentials of game theory, social choice and mechanism design, multi-agent learning, communication. Applications discussed as appropriate, but emphasis is on conceptual matters and theoretical foundations. Prerequisites: basic probability theory and first-order logic.

For E-IPER Ph.D. and joint degree M.S. students; other graduate students with consent of instructor. Challenges of interdisciplinary research; collaborations across disciplines. Topical or methodological focus depending on faculty and student interests. May not be offered every quarter. May be repeated for credit.