## ACCT 332: Mergers and Acquisitions

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.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 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.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.

Terms: Aut
| Units: 3

Instructors:
Kasznik, R. (PI)
;
Catz, S. (SI)

## ANES 300A: Anesthesia Operating Room Clerkship

Open to visitors. 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 postioperative 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 two-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. Prereq: A major clerkship in medicine or surgery is strongly recommended. Periods Avail: 3B-12, full-time for two weeks. 4 students per two week period. Reporting Instructions: Where: Anesthesia Grand Rounds at Li Ka Shing Center; Time: 6:45 am. Units: 3-6. Call Code: 0 Director: Marianne Chen, M.D. (650-723-7377). Other Faculty: Stanford Department of Anesthesia Faculty. Coord: Yun Tao (650-724-1706), H-3580, Stanford Hospital. (SUMC)

Terms: Aut, Win, Spr, Sum
| Units: 3-6
| Repeatable
2 times
(up to 6 units total)

## ANES 300B: Anesthesia Operating Room Clerkship

Open to visitors. 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. Please note: Visiting students must obtain approval from Ms. Yun Tao prior to applying for this clerkship. Please email requests to yuntao@stanford.edu. Prereq: A major clerkship in medicine or surgery is strongly recommended. Periods Avail: 3B-12, full-time for two weeks. 2 students per period. Reporting Instructions: Where: PAVAHCS, Building 101, Room A3-205, 3rd Floor; Time: 8:30 am. Units: 3 DropCode: Call Code: 0. Director: Natasha Funck, M.D. (650-493-5000 ext 64216). Other Faculty: VAPAMC Anesthesia Faculty. Coord: Yun Tao (650-724-1706), H-3583, Stanford Hospital. (VAPAHCS)

Terms: Aut, Win, Spr, Sum
| Units: 3
| Repeatable
2 times
(up to 6 units total)

## CEE 242R: Project Risk Analysis

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.

Terms: Win
| Units: 3

Instructors:
Savage, S. (PI)
;
Gao, W. (TA)

## CEE 275K: The Practice of Environmental Consulting

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.

Terms: Win
| Units: 2

Instructors:
Kavanaugh, M. (PI)
;
Meraz, J. (TA)

## CEE 299: Independent Study in Civil Engineering for CEE-MS Students

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

Terms: Aut, Win, Spr, Sum
| Units: 1-5
| Repeatable
for credit

Instructors:
Baker, J. (PI)
;
Barton, J. (PI)
;
Bennon, M. (PI)
;
Billington, S. (PI)
;
Blake, C. (PI)
;
Boehm, A. (PI)
;
Borja, R. (PI)
;
Cornell, C. (PI)
;
Criddle, C. (PI)
;
Dabiri, J. (PI)
;
Davis, J. (PI)
;
Deierlein, G. (PI)
;
Douglas, K. (PI)
;
Fischer, M. (PI)
;
Freyberg, D. (PI)
;
Fringer, O. (PI)
;
Fruchter, R. (PI)
;
Gorle, C. (PI)
;
Gragg, D. (PI)
;
Griggs, G. (PI)
;
Groves, R. (PI)
;
Hildemann, L. (PI)
;
Jacobson, M. (PI)
;
Jain, R. (PI)
;
Kam, C. (PI)
;
Katz, G. (PI)
;
Kiremidjian, A. (PI)
;
Kitanidis, P. (PI)
;
Knapp, K. (PI)
;
Koen, N. (PI)
;
Kolderup, E. (PI)
;
Koseff, J. (PI)
;
Krawinkler, H. (PI)
;
Kunz, J. (PI)
;
Larimer, A. (PI)
;
Law, K. (PI)
;
Leckie, J. (PI)
;
Lepech, M. (PI)
;
Levitt, R. (PI)
;
Linder, C. (PI)
;
Luthy, R. (PI)
;
Masters, G. (PI)
;
McCann, M. (PI)
;
McCarty, P. (PI)
;
Miranda, E. (PI)
;
Mitch, W. (PI)
;
Monismith, S. (PI)
;
Monk, A. (PI)
;
Orr, R. (PI)
;
Ortolano, L. (PI)
;
Ouellette, N. (PI)
;
Paulino, G. (PI)
;
Rajagopal, R. (PI)
;
Redd, T. (PI)
;
Reinhard, M. (PI)
;
Sedar, B. (PI)
;
Spormann, A. (PI)
;
Street, B. (PI)
;
Tabazadeh, A. (PI)
;
Tarpeh, W. (PI)
;
Tatum, C. (PI)
;
Tucker, A. (PI)
;
Walters, P. (PI)
;
Wood, E. (PI)

## CHEM 134: Instrumental Analysis Principles and Practice

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 upon theory and laboratory activities will provide hands-on practice with the GC, LC, XPS, MS, and UV/Vis instruments. Data analysis will be emphasized throughout the course with MATLAB 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 174/176/184. Prerequisite:
Chem 31B or 31X and concurrent enrollment in
Chem 33.

Terms: Spr
| Units: 5
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA

## CME 338: Large-Scale Numerical Optimization

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.

Terms: Spr
| Units: 3

Instructors:
Saunders, M. (PI)

## COMPMED 200: One Health Journal Club

Participants report on and review scientific articles published in peer reviewed journals. Focus is on manuscripts which report basic and mechanistic discoveries, animal modeling and translational research. The objective is to introduce MLAS students to critical scientific review of hypothesis-based research and experimental design, data analysis and interpretation. Enrollment limited to undergraduate and graduate students currently matriculated or planning to enroll in the MS in Laboratory Animal Science degree program.

Terms: Aut, Win, Spr, Sum
| Units: 1
| Repeatable
5 times
(up to 5 units total)

Instructors:
Hestrin, S. (PI)

## CS 349E: Understanding Datacenter Software Dynamics

A one-time graduate course for MS and PhD students (and possibly a few unusually savvy undergraduate Seniors). This is a programming lab course, actively building software tools to observe the detailed behavior of transaction-oriented datacenter-like software. Students will observe and understand sources of user-facing tail latency, including that stemming from resource contention, cross-program interference, bad software locking, and simple design errors. The course is particularly relevant for students who like performance mysteries in complex real-world computing environments such as Google datacenters. Students who successfully complete the course will be able to use and build low-overhead software tools to observe complex database- or datacenter-like transaction software, will be able to make proper performance measurements, will be able to identify the root causes for many long-tail slow transactions, and will be able to articulate what performance issues they find and how to fix them. Prerequisites: Computer architecture, C/C++ programming, some exposure to networking, nsome exposure to Linux or other operating system design, ability to construct and run programs in a Linux/C++/ssh environment.

Terms: Spr
| Units: 3

Instructors:
Sites, R. (PI)
;
Saavedra, C. (TA)

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