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31 - 40 of 157 results for: MS&E

MS&E 190: Methods and Models for Policy and Strategy Analysis

Guest lectures by departmental practitioners. Emphasis is on links among theory, application, and observation. Environmental, national security, and health policy; marketing, new technology, and new business strategy analyses. Comparisons between domains and methods.
Terms: Spr | Units: 3 | Grading: Letter or Credit/No Credit

MS&E 193: Technology and National Security (GS 167, GS 267, MS&E 293)

Explores the relation between technology, war, and national security policy from early history to modern day, focusing on current U.S. national security challenges and the role that technology plays in shaping our understanding and response to these challenges. Topics include the interplay between technology and modes of warfare; dominant and emerging technologies such as nuclear weapons, cyber, sensors, stealth, and biological; security challenges to the U.S.; and the U.S. response and adaptation to new technologies of military significance.
Terms: Spr | Units: 3 | UG Reqs: WAY-SI | Grading: Letter or Credit/No Credit

MS&E 201: Dynamic Systems

Provides a solid foundation in understanding and modeling the dynamics of change. Differential equations are used as a mathematical language to facilitate discussions on dynamic phenomena. Develop mathematical tools to analyze the dynamic models, and use such tools to think about and manage the dynamics of change. The analytical part of the course will be on mathematical analysis of linear and nonlinear dynamic systems. The notions of equilibrium, stability, growth and limit cycle will be introduced and discussed in terms of examples in business competition, organizational hierarchy, population dynamics, social interactions, ecology and spread of epidemics. Introduction to Catastrophe Theory, which provides a mathematical model for certain discontinuous phenomena like the crash of the stock market and the extinction of species. Required project in dynamic system modeling. Prerequisite: Math 104 or equivalent.
Terms: Win | Units: 3-4 | Grading: Letter or Credit/No Credit
Instructors: Tse, E. (PI)

MS&E 202: Optimal Control of Dynamic Systems

Provide a solid foundation in optimal control theory that can be applied to various disciplines. Topics covered are Maximum Principle, Dynamic Programming, Riccati Equation, Infinite time Optimal Control with time discounting, Infinite time differential games. The theory will be applied to optimal economic growth, resource management, production planning, dynamic pricing, financial planning, oligopoly competition, network platform competition. Prerequisite: MS&E 201.
Terms: Spr | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Tse, E. (PI)

MS&E 208A: Practical Training

MS&E students obtain employment in a relevant industrial or research activity to enhance professional experience, consistent with the degree program they are pursuing. Students submit a statement showing relevance to degree program along with offer letter to the Student Services Office before the start of the quarter, and a 2-3 page final report documenting the work done and relevance to degree program at the conclusion of the quarter. Students may take each course once. To receive a permission code to enroll, please submit this form: http://web.stanford.edu/~lcottle/forms/CPTapp.fb with statement and offer letter.
Terms: Aut, Win, Spr, Sum | Units: 1 | Grading: Satisfactory/No Credit
Instructors: Brandeau, M. (PI)

MS&E 208B: Practical Training

MS&E students obtain employment in a relevant industrial or research activity to enhance professional experience, consistent with the degree program they are pursuing. Students submit a statement showing relevance to degree program along with offer letter to the Student Services Office before the start of the quarter, and a 2-3 page final report documenting the work done and relevance to degree program at the conclusion of the quarter. Students may take each course once. To receive a permission code to enroll, please submit this form: http://web.stanford.edu/~lcottle/forms/CPTapp.fb with statement and offer letter.
Terms: Aut, Win, Spr, Sum | Units: 1 | Grading: Satisfactory/No Credit
Instructors: Brandeau, M. (PI)

MS&E 208C: Practical Training

MS&E students obtain employment in a relevant industrial or research activity to enhance professional experience, consistent with the degree program they are pursuing. Students submit a statement showing relevance to degree program along with offer letter to the Student Services Office before the start of the quarter, and a 2-3 page final report documenting the work done and relevance to degree program at the conclusion of the quarter. Students may take each course once. To receive a permission code to enroll, please submit this form: http://web.stanford.edu/~lcottle/forms/CPTapp.fb with statement and offer letter.
Terms: Aut, Win, Spr, Sum | Units: 1 | Grading: Satisfactory/No Credit
Instructors: Brandeau, M. (PI)

MS&E 208D: Practical Training

MS&E students obtain employment in a relevant industrial or research activity to enhance professional experience, consistent with the degree program they are pursuing. Students submit a statement showing relevance to degree program along with offer letter to the Student Services Office before the start of the quarter, and a 2-3 page final report documenting the work done and relevance to degree program at the conclusion of the quarter. Students may take each course once. To receive a permission code to enroll, please submit this form: http://web.stanford.edu/~lcottle/forms/CPTapp.fb with statement and offer letter.
Terms: Aut, Win, Spr, Sum | Units: 1 | Grading: Satisfactory/No Credit
Instructors: Brandeau, M. (PI)

MS&E 208E: Part-Time Practical Training

MS&E students obtain employment in a relevant industrial or research activity to enhance professional experience, consistent with the degree program they are pursuing. Students submit a statement showing relevance to degree program along with offer letter to the Student Services Office before the start of the quarter, and a 2-3 page final report documenting the work done and relevance to degree program at the conclusion of the quarter. Course may be repeated for credit. To receive a permission code to enroll, please submit this form: http://web.stanford.edu/~lcottle/forms/CPTapp.fb with statement and offer letter.
Terms: Aut, Win, Spr, Sum | Units: 1 | Repeatable for credit | Grading: Satisfactory/No Credit
Instructors: Brandeau, M. (PI)

MS&E 211: Introduction to Optimization (ENGR 62, MS&E 111)

Formulation and computational analysis of linear, quadratic, and other convex optimization problems. Applications in machine learning, operations, marketing, finance, and economics. Prerequisite: CME 100 or MATH 51.
Terms: Spr | Units: 3-4 | Grading: Letter or Credit/No Credit
Instructors: Van Roy, B. (PI)
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