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This course provides a comprehensive overview of strategic, economic, accounting and financial issues related to mergers and acquisitions. Specifically, we review the market for corporate control, discuss strategic and governance issues related to firms' decision to acquire or be acquired, and examine the M&A regulatory environment. We analyze various pricing and deal structure considerations, identify strategies that underlay a successful negotiation, and review the financial reporting and income tax implications of M&A deals.nnIn covering these and other related issues, we will discuss both the theory and practice of mergers and acquisitions. To provide some specific context we will analyze several M&A deals (e.g., Google/Motorola, HP/Compaq, UpJohn/Pharmacia, AOL/Time Warner, Oracle/PeopleSoft, and many more). In discussing these cases, we will examine the situation faced by the company, the issues surrounding the transaction, including the financial reporting implications, and focus on the managerial incentives and the judgment applied. We will also review some of the related literature in accounting, economic, and finance, to gain broader perspectives and insights into the financial issues associated with M&A transactions. Class time comprises mini lectures that introduce some of the more technical concepts, case discussions, and guest speakers who will offer additional perspectives on the subject matters.nnThe course is co-taught by Ron Kasznik (GSB) and Safra Catz (Oracle Corporation). Ms. Catz is the CEO of Oracle Corporation and a member of its Board of Directors. She has led Oracle through more than 100 acquisitions in recent years (including PeopleSoft, Siebel, BEA, Sun Microsystems, and many more). Prior to joining Oracle in 1999, Ms. Catz was Managing Director at Donaldson, Lufkin & Jenrette, a global investment bank (now part of CSFB). Ms. Catz also serves on the board of directors for HSBC Holdings plc.

Class consists of eight interactive two-hour seminars with discussions, and will cover the evolution of the environmental consulting business, strategic choices and alternative business models for private and public firms, a review of the key operational issues in managing firm, organizational strategies, knowledge management and innovation, and ethical issues in providing professional services. Case studies will be used to illustrate key concepts. Selected reading materials drawn from the technical and business literature on the consulting business. Student groups will prepare and present an abbreviated business plan for an environmental based business. Enrollment limited to CEE MS and PHD students.

Directed study for CEE-MS students on subjects of mutual interest to students and faculty. Student must obtain faculty sponsor.

The main algorithms and software for constrained optimization emphasizing the sparse-matrix methods needed for their implementation. Iterative methods for linear equations and least squares. The simplex method. Basis factorization and updates. Interior methods. The reduced-gradient method, augmented Lagrangian methods, and SQP methods. Prerequisites: Basic numerical linear algebra, including LU, QR, and SVD factorizations, and an interest in MATLAB, sparse-matrix methods, and gradient-based algorithms for constrained optimization. Recommended: MS&E 310, 311, 312, 314, or 315; CME 108, 200, 302, 304, 334, or 335.

Focus is on animal modeling and translational research that examines animal and human diseases. Teaches critical reading of scientific papers and presentation skills. Participants report on recent scientific articles and provide updates on their own research projects. Enrollment limited to undergraduate and graduate students currently matriculated or planning to enroll in the MS in Laboratory Animal Science degree program.

Combining actual dancing with medical research, this Cardinal Course investigates the dynamic complementary relationship between two practices, medicine and dance, through the lens of Parkinson's disease (PD), a progressive neurological disease that manifests a range of movement disorders. "Dance for PD" is an innovative approach to dancing --and to teaching dance --for those challenged by PD. Course format consists of: 1. Weekly Lecture/Seminar Presentation: Partial list of instructors include Ms. Frank, Dr. Bronte-Stewart and other Stanford medical experts & research scientists, David Leventhal (Director, "Dance for PD") and Bay Area "Dance for PD" certified master teachers, film-maker Dave Iverson, Damara Ganley, and acclaimed choreographers Joe Goode, Alex Ketley, Judith Smith (AXIS Dance). 2. Weekly Dance Class: Stanford students will fully participate as dancers, and creative partners, in the Stanford Neuroscience Health Center's ongoing "Dance for Parkinson's" community dance class for people with PD. This Community Engaged Learning component provides opportunity to engage meaningfully with people in the PD community. Dancing together weekly, students will experience firsthand the embodied signature values of "Dance for PD" classes: full inclusion, embodied presence, aesthetic and expressive opportunity for creative engagement, and community-building in action. A weekly debriefing session within Friday's class time will allow students to integrate seminar material with their movement experiences.nnNO PRE-REQUISITES: No prior dance experience required. Beginners are welcome.

Required of and open only to Earth Systems master's students. Reflection on the Earth Systems coterm experience and development of skills to clearly articulate interdisciplinary expertise to potential employers, graduate or professional schools, colleagues, business partners, etc. Hands-on projects to take students through a series of guided reflection activities. Individual and small group exercises. Required, self-chosen final project encapsulates each student's MS expertise in a form relevant to his or her future goals (ie. a personal statement, research poster, portfolio, etc.).

This is an experiential course that will cover the important concepts that underlying investment theory in Financial Economics. Students will manage an investment portfolio of at least $1 million dollars. In doing so they will learn how risk and return are related in public capital markets. Students are expected to spend a substantial amount of time outside the classroom applying the knowledge they learn in the class. Prerequisites: Econ 51 (or IPS 204A, PublPol 301A), Econ 102B (or Stats 141, Stats 110, CEE 203, Earthsys 160, Educ 200C, Linguist 277, Psych 252), Econ 140 (or Econ 135), Econ 190 (or MS&E 140)