## ME 80: Mechanics of Materials

Mechanics of materials and deformation of structural members. Topics include stress and deformation analysis under axial loading, torsion and bending, column buckling and pressure vessels. Introduction to stress transformation and multiaxial loading. Prerequisite:
ENGR 14.

Terms: Aut, Win, Spr, Sum
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR

Instructors:
Cai, W. (PI)
;
Chaudhuri, O. (PI)
;
Kanjanapas, T. (PI)
...
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Instructors:
Cai, W. (PI)
;
Chaudhuri, O. (PI)
;
Kanjanapas, T. (PI)
;
Levenston, M. (PI)
;
Towles, J. (PI)
;
Cohen, R. (TA)
;
Ioannou, N. (TA)
;
Kanjanapas, T. (TA)
;
So, E. (TA)

## MED 254: Engineering Better Health Systems: modeling for public health (HRP 234)

This course teaches engineering, operations research and modeling techniques to improve public health programs and systems. Students will engage in in-depth study of disease detection and control strategies from a "systems science" perspective, which involves the use of common engineering, operations research, and mathematical modeling techniques such as optimization, queuing theory, Markov and Kermack-McKendrick models, and microsimulation. Lectures and problem sets will focus on applying these techniques to classical public health dilemmas such as how to optimize screening programs, reduce waiting times for healthcare services, solve resource allocation problems, and compare macro-scale disease control strategies that cannot be easily evaluated through randomized trials. Readings will complement the lectures and problem sets by offering critical perspectives from the public health history, sociology, and epidemiology. In-depth case studies from non-governmental organizations, departm
more »

This course teaches engineering, operations research and modeling techniques to improve public health programs and systems. Students will engage in in-depth study of disease detection and control strategies from a "systems science" perspective, which involves the use of common engineering, operations research, and mathematical modeling techniques such as optimization, queuing theory, Markov and Kermack-McKendrick models, and microsimulation. Lectures and problem sets will focus on applying these techniques to classical public health dilemmas such as how to optimize screening programs, reduce waiting times for healthcare services, solve resource allocation problems, and compare macro-scale disease control strategies that cannot be easily evaluated through randomized trials. Readings will complement the lectures and problem sets by offering critical perspectives from the public health history, sociology, and epidemiology. In-depth case studies from non-governmental organizations, departments of public health, and international agencies will drive the course. Prerequisites: A course in introductory statistics, and a course in multivariable calculus including ordinarily differential equations. Open to upper-division undergraduate students and graduate students. Human Biology majors enroll in
HUMBIO 154A. Prerequisite:
MATH 51 or
CME 100 and Human Biology Core or
Bio 141 or
BioHopk 174H

Last offered: Autumn 2018

## 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

## MS&E 152: Introduction to Decision Analysis

How to make good decisions in a complex, dynamic, and uncertain world. People often make decisions that on close examination they regard as wrong. Decision analysis uses a structured conversation based on actional thought to obtain clarity of action in a wide variety of domains. Topics: distinctions, possibilities and probabilities, relevance, value of information and experimentation, relevance and decision diagrams, risk attitude. Prerequisites: high school algebra and basic spreadsheet skills.

Terms: Spr
| Units: 3-4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR

Instructors:
Shachter, R. (PI)
;
Bolin, W. (TA)
;
Paspanthong, A. (TA)
...
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Instructors:
Shachter, R. (PI)
;
Bolin, W. (TA)
;
Paspanthong, A. (TA)
;
Rodriguez Silva Santisteban, F. (TA)
;
Zheng, C. (TA)

## OSPBER 50M: Introductory Science of Materials

Topics include: the relationship between atomic structure and macroscopic properties of man-made and natural materials; mechanical and thermodynamic behavior of surgical implants including alloys, ceramics, and polymers; and materials selection for biotechnology applications such as contact lenses, artificial joints, and cardiovascular stents. No prerequisite.

Terms: Aut, Win, Spr
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA

Instructors:
Heilshorn, S. (PI)
;
Mueller, R. (TA)

## OSPFLOR 50M: Introductory Science of Materials

Topics include: the relationship between atomic structure and macroscopic properties of man-made and natural materials; mechanical and thermodynamic behavior of surgical implants including alloys, ceramics, and polymers; and materials selection for biotechnology applications such as contact lenses, artificial joints, and cardiovascular stents. No prerequisite.

Terms: Aut, Win, Spr
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA

Instructors:
Heilshorn, S. (PI)

## OSPPARIS 50M: Introductory Science of Materials

Topics include: the relationship between atomic structure and macroscopic properties of man-made and natural materials; mechanical and thermodynamic behavior of surgical implants including alloys, ceramics, and polymers; and materials selection for biotechnology applications such as contact lenses, artificial joints, and cardiovascular stents. No prerequisite.

Terms: Aut, Win, Spr
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA

Instructors:
Heilshorn, S. (PI)

## PHIL 166: Probability: Ten Great Ideas About Chance (PHIL 266, STATS 167, STATS 267)

Foundational approaches to thinking about chance in matters such as gambling, the law, and everyday affairs. Topics include: chance and decisions; the mathematics of chance; frequencies, symmetry, and chance; Bayes great idea; chance and psychology; misuses of chance; and harnessing chance. Emphasis is on the philosophical underpinnings and problems. Prerequisite: exposure to probability or a first course in statistics at the level of
STATS 60 or 116.

Last offered: Spring 2016
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-FR

## PHYSICS 50: Astronomy Laboratory and Observational Astronomy

Introduction to observational astronomy emphasizing the use of optical telescopes. Observations of stars, nebulae, and galaxies in laboratory sessions with telescopes at the Stanford Student Observatory. Meets at the observatory one evening per week from dusk until well after dark, in addition to day-time lectures each week. No previous physics required. Limited enrollment.

Last offered: Summer 2019
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA

## PHYSICS 100: Introduction to Observational Astrophysics

Designed for undergraduate physics majors but open to all students with a calculus-based physics background and some laboratory and coding experience. Students make and analyze observations using the telescopes at the Stanford Student Observatory. Topics covered include navigating the night sky, the physics of stars and galaxies, telescope instrumentation and operation, imaging and spectroscopic techniques, quantitative error analysis, and effective scientific communication. The course concludes with an independent project where student teams propose and execute an observational astronomy project of their choosing, using techniques learned in class to gather and analyze their data, and presenting their findings in the forms of professional-style oral presentations and research papers. Enrollment by permission. To get a permission number please complete form:
http://web.stanford.edu/~elva/physics100prelim.fb If you have not heard from us by the beginning of class, please come to the first class session.

Terms: Spr
| Units: 4
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA

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