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1 - 10 of 17 results for: BIOS ; Currently searching autumn courses. You can expand your search to include all quarters

BIOS 200: Foundations in Experimental Biology

This course is divided into two 3-week cycles. During the first cycle, students will be developing a 2-page original research proposal, which may be used for NSF or other fellowship applications. In the second cycle, students will work in small teams and will be mentored by faculty to develop an original research project for oral presentation. Skills emphasized include: 1) reading for breadth and depth; 2) developing compelling, creative arguments; 3) communicating with the spoken and written word; 4) working in teams. Important features of the course include peer assessment, interactive joint classes, and substantial face-to-face discussion with faculty drawn from across the Biosciences programs. Shortened autumn quarter class; class meets during weeks 1 through 8 of the quarter.
Terms: Aut | Units: 5

BIOS 203: Market Design and Field Experiments for Health Policy and Medicine

This course will provide the student with the necessary tools to be an avid consumer and user, and potentially a producer, of the market design and field experimental literature (recognized by 4 recent Nobel Prizes in Economics: 2007/2012/2019/2020). In the first part, we introduce use of economic theory and analysis to design allocation mechanisms and market institutions, examples include medical resident matching and kidney exchanges. In the second part, it will provide a summary of recent experimental techniques deployed for both research and practice in economics, health/public policy and tech, and detail how to practically gather and analyze data using experimental methods. Emphasis on connecting to practical applications.
Terms: Aut | Units: 1

BIOS 204: Practical Tutorial on the Modeling of Signal Transduction Motifs

Basics of ordinary differential equation modeling of signal transduction motifs, small circuits of regulatory proteins and genes that serve as building blocks of complex regulatory circuits. Morning session covers numerical modeling experiments. Afternoon session explores theory underpinning that day's modeling session. Modeling done using Mathematica, Standard Edition provided to enrolled students.
Terms: Aut | Units: 3
Instructors: Ferrell, J. (PI)

BIOS 207: Just Enough Software Engineering

This two week mini-course teaches the software engineering skills relevant to scientific analysis. Students will learn essential skills to promote collaboration, reproducibility, and reliability. Topics: reproducible research compendia. Modular architecture. Documenting data, code, and tools. Debugging, defensive programming, and unit tests. Prerequisites: familiarity with R.
Terms: Aut | Units: 2 | Repeatable 3 times (up to 6 units total)

BIOS 209: CTS200-Statistical Design of Experiments for Bioscience

Design of experiment (DOE) techniques are used in a variety of experimental situations to collect and analyze data. In this course, principles of DOE, analytical tools, as well as experimental strategies such as screening designs, full and fractional- factorial designs such as Response surface methods (RSM) will be covered. The applications of these methodologies for optimizing responses and analyzing experimental parameters will be discussed in case studies, specifically for bioscience-related systems. Related statistical software tools such as JMPs will be introduced.
Terms: Aut | Units: 1-2
Instructors: Shayan, M. (PI)

BIOS 214: The Art of Science Communication for Graduate Students and Postdocs

How can you communicate science in an impactful way? Over three weeks, learn the art of scientific storytelling from experienced science communicators and influencers through various media like writing, visual illustrations, podcasts, and art performances. Through tailored lectures, panel discussions, and hands-on activities, you will tweak your creativity and explore fun and engaging ways to explain your favorite science topics. You will interact with peers and instructors from various backgrounds to explore the ¿where¿ and ¿how¿ of making science accessible to your audience. Whether you have some or no experience at all, this course is for you.
Terms: Aut | Units: 1

BIOS 215: Stanford SKY Campus Happiness Retreat

Discover the power of the breath to reach a meditative state of mind. Combine meditation with activities that inspire connection and purpose through community building and mindful leadership. Learn through breathwork, meditation, lecture, class discussion, experiential learning, and yoga. The cornerstone of the course is evidence-based SKY Meditation technique that uses the breath to quiet the mind, supporting a deep experience of meditation and a practical approach to happiness.
Terms: Aut, Spr | Units: 1 | Repeatable 3 times (up to 3 units total)

BIOS 217: Foundations of statistics and reproducible research

Introduction to foundations of rigorous, reproducible research in experimental biology and clinical research. Provides conceptual framework for linking hypotheses to experimental design, quantitative measurement, statistical analysis and assessment of uncertainty. Course combines lecture presentation and discussion of core concepts from statistics and reproducibility with hands-on exposure to best practices for reproducible workflows spanning design, data collection, annotation, analysis and presentation of results. Brief discussion of social, legal, and ethical issues with reproducibility in scientific practice, along with NIH grant requirements. Course provides foundations for future learning in these areas. Examples drawn from multiple areas of experimental biology and clinical research. Target audience: Students in BIOS 200 (Foundations in Experimental Biology), in Biosciences graduate programs or T32 training programs. Prerequisites: None
Terms: Aut | Units: 2

BIOS 221: Modern Statistics for Modern Biology (STATS 155, STATS 256, STATS 366)

Application based course in nonparametric statistics. Modern toolbox of visualization and statistical methods for the analysis of data, examples drawn from immunology, microbiology, cancer research and ecology. Methods covered include multivariate methods (PCA and extensions), sparse representations (trees, networks, contingency tables) as well as nonparametric testing (Bootstrap, permutation and Monte Carlo methods). Hands on, use R and cover many Bioconductor packages. Prerequisite: Working knowledge of R and two core Biology courses. Note that the 155 offering is a writing intensive course for undergraduates only and requires instructor consent. (WIM). See https://web.stanford.edu/class/bios221/index.html
Terms: Aut | Units: 3

BIOS 242: Writing Compelling Fellowships and Career Development Awards

An overview of principles and fundamentals for writing competitive fellowships (e.g. NIH F31, F32) and career development awards (e.g. NIH K Awards). Topics include: developing specific aims and career development plans; using the review criteria to inform writing; timelines and resources. Participants develop proposals through guided exercises with an emphasis on in-class peer review and focused faculty feedback.
Terms: Aut | Units: 2
Instructors: Botham, C. (PI)
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