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This course provides a comprehensive overview of strategic, economic and financial issues related to mergers and acquisitions. Specifically, we review the market for corporate control, discuss strategic issues related to firms' decision to acquire or be acquired, and examine the M&A regulatory environment. We analyze various valuation and deal structure considerations, identify strategies that underlay a successful negotiation, and review the financial reporting and income tax implications of M&A transactions.In 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 many large and small M&A deals. In discussing these cases, we will examine the situation faced by the company, the issues surrounding the transaction, including the financial 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.The 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 Walt Disney.

VISITING: Open to visitors. TYPE OF CLERKSHIP: Elective. DESCRIPTION: This clerkship provides an introduction to the perioperative anesthetic management of the surgical patient. In this clinical setting, and under close faculty and resident supervision, students have an opportunity to learn and apply the principles of preoperative evaluation of patients, intraoperative monitoring techniques, assessment of vital organ status, pharmacology of anesthetic and related drugs, and immediate postoperative management. In addition, students have ample opportunity to learn and practice a variety of technical skills, including airway management and intravenous cannulation, which will be of value in any clinical specialty. Students are assigned to the operating room at the SUMC. Didactic lectures, clinical conferences, as well as anesthesia simulator course, will be offered throughout the rotation. Students will work closely with pre-assigned faculty and residents during the three-week clerkship. Please note: Visiting students must obtain approval from Ms. Yun Tao prior to applying for this clerkship. Please email requests to yuntao@stanford.edu. PREREQUISITES: A major clerkship in medicine or surgery is strongly recommended. PERIODS AVAILABLE: 3B-12B, full-time for 2 weeks. 5 students per period. CLERKSHIP DIRECTOR: Phillip Wang, M.D., phillipw@stanford.edu, 650-723-6412. CLERKSHIP COORDINATOR: Yun Tao, yuntao@stanford.edu, 650-724-1706, H-3580, Stanford Hospital. REPORTING INSTRUCTIONS: Where: Where: 500p OR front desk; Time: Mon 7:45 am. CALL CODE: 0. OTHER FACULTY: Stanford Department of Anesthesia Faculty. LOCATION: SUMC.

VISITING: Open to visitors. TYPE OF CLERKSHIP: Elective. DESCRIPTION: Exposes students to the administration of anesthetics to surgical patients in the operating room. In this clinical setting, at the PAVAMC and under close faculty and resident supervision, students have an opportunity to learn and apply the principles of preoperative evaluation of patients, intraoperative monitoring techniques, assessment of cardiovascular and respiratory status, and the pharmacology of anesthetic and related drugs. In addition, students have ample opportunity to learn and practice a variety of technical skills, including airway management, endotracheal intubation, and intravenous and intra-arterial cannulation which would be of value in any clinical specialty. Students who wish to do this clerkship MUST get pre-approval from Ms. Yun Tao before registering. Please email requests to yuntao@stanford.edu. PREREQUISITES: A major clerkship in medicine or surgery is strongly recommended. PERIODS AVAILABLE: 3B-12, full-time for 2 weeks, 2 students per period. CLERKSHIP DIRECTOR: Natasha Funck, M.D. (650-493-5000 ext 64216). CLERKSHIP COORDINATOR: Yun Tao (650-724-1706), H-3583, Stanford Hospital. REPORTING INSTRUCTIONS: Where: PAVAHCS, Building 101, Room A3-205, 3rd Floor; Time: 8:30 am. CALL CODE: 0. OTHER FACULTY: VAPAMC Anesthesia Faculty. LOCATION: VAPAHCS.

This course will cover the basic principles and practices underlying rigorous and reproducible biomedical research, both in the clinic and the lab. Approximately 40% of the course will cover the basic scientific and statistical principles, with an emphasis on elements of design and analysis that pose threats to reproducibility; e.g. multiplicity, selective reporting, design effects, non-random assignment, pseudo-replication and handling of outliers. The remainder of the course will focus on computational approaches to ensure that all data, code, and analyses can be captured in a reproducible workflow, to be confirmed and replicated by you in the future, by other members of your team, and by reviewers and other researchers. We will cover how to satisfy FAIR principles, version control, how to create a git repository, utilize Github and how to create a reproducible dataset. Prerequisites: Basic knowledge of R. Recommended (not required): EPI 202 or 261/262, STATS 60, or MS&E 125

Teaches principles and methods for quantitative modeling and mitigation of risks in project planning, design, construction and operation, using new MS Excel capabilities and standardized probability distributions. Several case studies will be covered, including ongoing work with PG&E to roll up operational risks.

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.

This is a laboratory course that serves as a stepping stone toward independent research in organic chemistry. Through several 1-2 step syntheses, this course trains students on basic organic laboratory techniques on purification of products, including extraction, distillation, recrystallization, thin layer chromatography, and column chromatography, as well as characterization of product structures using IR, GC-MS, and NMR spectroscopy. This course reviews MS, IR, and 1H and 13C NMR spectroscopy knowledge from Chem 33 and 121 with an emphasis on the practical interpretation of spectra, so that students can become independent in using these techniques to identify the purity and structures of organic compounds.nPrerequisite: Chem 121. Corequisite: Chem 123.

The core objectives of the course will focus upon introducing and providing hands-on practice with analytical separation, spectroscopic identification, and calibrated quantification with strong technical communication (for the Writing-in-the-Major requirement) emphasized throughout the course. Lectures will focus on theory, and laboratory activities will provide hands-on practice with the GC, LC, XPS, ICP, MS, and UV/Vis instruments. Data analysis will be emphasized throughout the course with Python being the primary tool for plotting and computations. Statistical measurements will be introduced to gauge the quality and validity of data. Lectures will be three times a week with a required four-hour laboratory section. The course will conclude with a student-developed project, focusing upon separation and quantification, and a poster presentation. The course should be completed prior to CHEM courses 174,176, or 184. Prerequisite: CHEM 33 or CHEM 100; and CS 106A.