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1 - 10 of 53 results for: MS&E

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MS&E 101: Undergraduate Directed Study

Subject of mutual interest to student and faculty member. Prerequisite: faculty sponsor.
Terms: Aut, Win, Spr, Sum | Units: 15 | Repeatable for credit

MS&E 101A: Undergraduate Directed Study

Subject of mutual interest to student and mentor.
Terms: Aut, Win, Spr, Sum | Units: 1-4 | Repeatable for credit

MS&E 107: Interactive Management Science (MS&E 207)

Analytical techniques such as linear and integer programming, Monte Carlo simulation, forecasting, decision analysis, and Markov chains in the environment of the spreadsheet. Probability management. Materials include spreadsheet add-ins for implementing these and other techniques. Emphasis is on building intuition through interactive modeling, and extending the applicability of this type of analysis through integration with existing business data structures.
Terms: Aut | Units: 3 | UG Reqs: GER:DB-EngrAppSci, WAY-AQR

MS&E 111: Introduction to Optimization (ENGR 62)

Formulation and analysis of linear optimization problems. Solution using Excel solver. Polyhedral geometry and duality theory. Applications to contingent claims analysis, production scheduling, pattern recognition, two-player zero-sum games, and network flows. Prerequisite: CME 100 or MATH 51.
Terms: Aut, Spr | Units: 4 | UG Reqs: GER:DB-EngrAppSci

MS&E 120: Probabilistic Analysis

Concepts and tools for the analysis of problems under uncertainty, focusing on focusing on structuring, model building, and analysis. Examples from legal, social, medical, and physical problems. Topics include axioms of probability, probability trees, random variables, distributions, conditioning, expectation, change of variables, and limit theorems. Prerequisite: CME 100 or MATH 51.
Terms: Aut | Units: 5 | UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR
Instructors: Shachter, R. (PI) ; Martinez, A. (TA) ; Xiong, R. (TA)

MS&E 140: Accounting for Managers and Entrepreneurs (MS&E 240)

Non-majors and minors who have taken or are taking elementary accounting should not enroll. Introduction to accounting concepts and the operating characteristics of accounting systems. The principles of financial and cost accounting, design of accounting systems, techniques of analysis, and cost control. Interpretation and use of accounting information for decision making. Designed for the user of accounting information and not as an introduction to a professional accounting career. Enrollment limited. Admission by order of enrollment.
Terms: Aut, Win, Sum | Units: 3-4

MS&E 145: Introduction to Investment Science

Introduction to the financial concepts and empirical evidence that are useful for investment decisions. Time-value of money: understanding basic interest rates, evaluating investments with present value and internal rates of return, fixed-income securities. Risk-return tradeoff and pricing models: mean variance optimization and portfolio choice, capital asset pricing theory and extensions. No prior knowledge of finance is required. Concepts are applied in a stock market simulation with real data. Prerequisites: basic preparation in probability, statistics, and optimization as covered e.g. in 111 and 120.
Terms: Aut | Units: 3
Instructors: Chiu, S. (PI) ; Stacey, R. (TA)

MS&E 148: Ethics of Finance

Explores the ethical reasoning needed to make banking, insurance and financial services safer, fairer and more positively impactful. Weighs tradeoffs in how money is created, privileging some, under-privileging others, using market mechanisms for transforming and trading financial risk, return, maturity and asset types. Technology is changing banks, financial markets, insurance and money. Like technology for medicine, finance is being rebuilt as machine learned code, algorithmic investment rules and regulatory monitoring. Risk models can be built to detect fraud and ethical lapses, or to open doors for them. Investment valuation models can optimize short term or long term returns, by optimizing or ignoring environmental and social impacts. Transparency or opacity can be the norm. Transforming finance through engineering requires finding, applying and evolving codes of professional conduct to make sure that engineers use their skills within legal and ethical norms. Daily, financial engineers focus on two horizons: on the floor, we stand on the bare minimum standards of conduct, and on the ceiling, we aim for higher ethical goals that generate discoveries celebrated though individual fulfillment and TED Talks. Stanford engineers, computer scientists, data scientists, mathematicians and other professionals are building systems for lending, investment and portfolio management decisions that determine future economic and social growth. This course uses the case method to preview intersecting codes of conduct, legal hurdles and ethical impact opportunities, and creates as a safe academic setting for seeing career-limiting ethical stop signs (red lights) and previewing ¿what¿s my life all about¿ events, as unexpected threats or surprising ah-ha moments. Guest speakers will highlight real life situations, lawsuits and other events where ethics of financial engineering was a predominant theme, stumbling block or humanitarian opportunity.
Terms: Aut | Units: 2
Instructors: Cahan, B. (PI) ; Meiller, N. (TA)

MS&E 149: Hedge Fund Management

Introduction to hedge fund management. Students actively manage the $1MM Stanford Kudla Fund employing Equity Long/Short, Macro and Quantitative Investment Strategies. Modeled after a hedge fund partnership culture, participation involves significant time commitment, passion for investing, and uncommon teamwork and communication skills. Open to advanced undergraduate and graduate students with continuing participation expectation. Limited to 12 students. Enrollment by application and permission of Instructor.
Terms: Aut, Win, Spr | Units: 1-3
Instructors: Jain, K. (PI)

MS&E 178: The Spirit of Entrepreneurship

Is there more to entrepreneurship than inventing the better mouse trap? This course uses the speakers from the Entrepreneurial Thought Leader seminar (MS&E472) to drive research and discussion about what makes an entrepreneur successful. Topics include venture financing, business models, and interpersonal dynamics in the startup environment. Students meet before and after MS&E 472 to prepare for and debrief after the sessions. Enrollment limited to 60 students. Admission by application.
Terms: Aut, Win, Spr | Units: 3 | Repeatable for credit
Instructors: Belani, R. (PI) ; Corey, T. (PI) ; Ma, E. (PI)
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