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1 - 4 of 4 results for: BIOS

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 205: Introduction to R

Autumn quarter enrollment limited to ADVANCE students; instructor consent required for enrollment. Topics include: basics of R (widely used, open-source programming and data analysis environment) programming language and data structures, reading/writing files, graphics tools for figure generation, basic statistical and regression operations, survey of relevant R library packages. Interactive format combining lectures and computer lab. For course and enrollment information, see http://bios205.stanford.edu.
Terms: Aut, Win, Spr | Units: 1
Instructors: Bagley, S. (PI)

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

BIOS 250: Interdisciplinary Drug Discovery

Focuses on decision making in science, with particular attention to skills for identifying when to solicit interdisciplinary input, and how to guide such discussions to productive endpoints. Uses case studies based on Novartis projects to teach ways to leverage interdisciplinary knowledge, effectively communicate across disciplines, and drive teams to decision points. Two-day workshop presented by Novartis scientists who lead participants through these real life examples of interactive teams within pharma solving problems through collaborative decision making. Participants develop collaborative decision making skills highlighted through group exercises.
Terms: Aut | Units: 1
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