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261 - 270 of 289 results for: VPGE::* ; Currently searching offered courses. You can also include unoffered courses

SOMGEN 230: Sexual Function and Diversity in Medical Disciplines (CHPR 230, FEMGEN 230)

This course is a coordinated seminar series that presents evidence-based health promotion and disease prevention guidelines by clinical and translational research and population health science faculty of clinical departments other than Medicine (the focus of CHPR 260) of the Stanford School of Medicine, including; Anesthesiology & Perioperative, & Pain Medicine, Cardiothoracic gy, Emergency Medicine, Neurology & Neurological Sciences, Neurosurgery, Obstetrics & Gynecology, Ophthalmology, Orthopaedic Surgery, Otolaryngology, Pathology, Pediatrics, Psychiatry & Behavioral Sciences, Radiation Oncology, Radiology, Surgery and Urology. CHPR master's program students must enroll in CHPR 230 for a letter grade and priority for enrollment will be given to current CHPR students. For third unit, graduate students attend INDE 215 Queer Health & Medicine and complete assignments for that section. For third unit and WAYs, undergrads enroll in SOMGEN 130. Prerequisites: CHPR 201 or HUMBIO 126/ CHPR 226 or equivalent or consent of instructor.
Terms: Win | Units: 2-3

SOMGEN 275: Leading Value Improvement in Health Care Delivery

Successful leaders on the journey to better care delivery methods with lower total spending inevitably face challenges. What confluence of attitudes, values, strategy, and events allows them to prevail? Contexts will include public policy, entrepreneurship and early stage investing, care delivery innovations, and health care system management to improve the value of care. Course faculty and guests will consist of nationally recognized leaders, innovators, and change agents. The course is open to any member of the Stanford community aspiring to lead value improvement in health care delivery including medical, MBA, law, and graduate students, as well as undergraduates, postdoctoral candidates, and medical center trainees. May be repeated for credit.
Terms: Aut | Units: 1 | Repeatable 4 times (up to 4 units total)

SOMGEN 282: The Startup Garage: Design (CHEMENG 482)

(Same as STRAMGT 356) The Startup Garage is an experiential lab course that focuses on the design, testing and launch of a new venture. Multidisciplinary student teams work through an iterative process of understanding user needs, creating a point of view statement, ideating and prototyping new product and services and their business models, and communicating the user need, product, service and business models to end-users, partners, and investors. In the autumn quarter, teams will: identify and validate a compelling user need and develop very preliminary prototypes for a new product or service and business models. Students form teams, conduct field work and iterate on the combination of business model -- product -- market. Teams will present their first prototypes (business model - product - market) at the end of the quarter to a panel of entrepreneurs, venture capitalists, angel investors and faculty.
Terms: Aut | Units: 4

SOMGEN 284: The Startup Garage: Testing and Launch (CHEMENG 484)

This is the second quarter of the two-quarter series. In this quarter, student teams expand the field work they started in the fall quarter. They get out of the building to talk to potential customers, partners, distributors, and investors to test and refine their business model, product/service and market. This quarter the teams will be expected to develop and test a minimally viable product, iterate, and focus on validated lessons on: the market opportunity, user need and behavior, user interactions with the product or service, business unit economics, sale and distribution models, partnerships, value proposition, and funding strategies. Teams will interact with customers, partners, distributors, investors and mentors with the end goal of developing and delivering a funding pitch to a panel of entrepreneurs, venture capitalists, angel investors and faculty.
Terms: Win | Units: 4

STATS 200: Introduction to Statistical Inference

Modern statistical concepts and procedures derived from a mathematical framework. Statistical inference, decision theory; point and interval estimation, tests of hypotheses; Neyman-Pearson theory. Bayesian analysis; maximum likelihood, large sample theory. Prerequisite: STATS 116. Please note that students must enroll in one section of their choosing in addition to the main lecture.
Terms: Aut, Win | Units: 4

STATS 202: Data Mining and Analysis

Data mining is used to discover patterns and relationships in data. Emphasis is on large complex data sets such as those in very large databases or through web mining. Topics: decision trees, association rules, clustering, case based methods, and data visualization. Prereqs: Introductory courses in statistics or probability (e.g., Stats 60), linear algebra (e.g., Math 51), and computer programming (e.g., CS 105).
Terms: Aut, Sum | Units: 3

STATS 203: Introduction to Regression Models and Analysis of Variance

Modeling and interpretation of observational and experimental data using linear and nonlinear regression methods. Model building and selection methods. Multivariable analysis. Fixed and random effects models. Experimental design. Prerequisites: A post-calculus introductory probability course, e.g. STATS 116, basic computer programming knowledge, some familiarity with matrix algebra, and a pre- or co-requisite post-calculus mathematical statistics course, e.g. STATS 200.
Terms: Win | Units: 3

STATS 204: Sampling

How best to take data and where to sample it. Examples include surveys and sampling from data warehouses. Emphasis is on methods for finite populations. Topics: simple random sampling, stratified sampling, cluster sampling, ratio and regression estimators, two stage sampling.
Terms: Spr | Units: 3

STATS 211: Meta-research: Appraising Research Findings, Bias, and Meta-analysis (CHPR 206, EPI 206, MED 206)

Open to graduate, medical, and undergraduate students. Appraisal of the quality and credibility of research findings; evaluation of sources of bias. Meta-analysis as a quantitative (statistical) method for combining results of independent studies. Examples from medicine, epidemiology, genomics, ecology, social/behavioral sciences, education. Collaborative analyses. Project involving generation of a meta-research project or reworking and evaluation of an existing published meta-analysis. Prerequisite: knowledge of basic statistics.
Terms: Win | Units: 3

STRAMGT 308: Entrepreneurship from Diverse Perspectives

This seminar showcases the diversity of entrepreneurs and the range of entrepreneurial paths they pursue. Thirty-five entrepreneurs and venture capitalists, primarily woman and under-represented minorities, will share their personal and professional journeys, and how each embodies the entrepreneurial mindset. Case studies, readings and videos, will complement in-class discussions with the speakers in exploring the entire entrepreneurial process from finding an idea and forming and building a team, to being an inclusive leader, raising money, assembling a board, and overcoming setbacks and challenges. The class teaches the entrepreneurial mindset, and how everyone can be entrepreneurial in their lives. Teams will work on creating an idea for a company during the quarter.
Terms: Aut | Units: 3
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