If you are looking for the current, active course, follow the link above and select the current, active course from the dropdown list on that page.
X23B-M92C To avoid sitting for hours in a classroom, click below to take the course online, then select the red Register Now on the next page on the upper right corner.
Mike also provides instructional design, graphic design, and project planning support to faculty. Suggested textbooks and readings are listed as part of the materials. Contents I Artificial Intelligence 1 Introduction 1. Is Stanford's content part of the iTunes Music Store. Do the mini-courses offer a Statement of Accomplishment.
Specific statistical tests ttest, ANOVA, linear correlation, non-parametric tests, relative risks, Chi-square test, exact tests, linear regression, logistic regression, survival analysis; how to choose the right statistical test The course focuses on real examples from the medical literature and popular press.
In the process, participants will learn how to read, interpret, and critically evaluate the statistics in medical studies. View of the main quadrangle of Stanford University with Memorial Church in the center background from across the grass covered Oval.
She has taught statistics and writing at Stanford for more than a decade and has received several Excellence in Teaching Awards from the graduate program in epidemiology. If you have not received an invite, please post a private message on Piazza.
Stanford launched the first publicly available iTunes U collection in On the founding grant: The course is now being offered as a set of smaller self-paced "mini-courses", which can be assembled in a variety of ways to learn about different aspects of databases.
You may also download and print your Certificate upon completion. Mini-Course Pathways The following are a number of suggested pathways through the mini-courses, depending on the topics and depth desired.
Grading There will be four written homeworks, one midterm, and a major open-ended term project see the projects page for details. Logistics Prerequisites Students are expected to have the following background: FAQ Is this the first time this class is offered.
No, none of the mini-courses offer any credit or certificates, but all of them except the Introduction offer a Statement of Accomplishment. How long will it take to go through the course material.
If you have registered for one of the mini-courses, you will be notified by email if there are any changes to the content availability beforehand.
Contribute to Stanford on iTunes U Stanford departments and programs can contribute recordings of major events, faculty presentations and other programs and make them available to millions of iTunes users around the world.
Each 24 hours or part thereof that a homework is late uses up one full late day. Equivalent knowledge of CS Machine Learning We will be formulating cost functions, taking derivatives and performing optimization with gradient descent.
Login via the invite, and submit the assignments on time. Students may discuss and work on homework problems in groups. To learn more about the course on artificial intelligence, visit http: Codd Innovations Award in and was a Guggenheim Fellow in ; she has served on a variety of program committees, advisory boards, and editorial boards.
Handout The class handout can be downloaded here. However, each student must write down the solutions independently, and without referring to written notes from the joint session. Course Syllabus Week 1 - Descriptive statistics and looking at data Week 2 - Review of study designs; measures of disease risk and association Week 3 - Probability, Bayes' Rule, Diagnostic Testing Week 4 - Probability distributions Week 5 - Statistical inference confidence intervals and hypothesis testing Week 6 - P-value pitfalls; types I and type II error; statistical power; overview of statistical tests Week 7 - Tests for comparing groups unadjusted ; introduction to survival analysis Week 8 - Regression analysis; linear correlation and regression Week 9 - Logistic regression and Cox regression Prerequisites There are no prerequisites for this course.
Students from non-science disciplines can benefit from the training provided in the first four weeks on general principles of effective writing. Familiarity with probability theory CS or STATS Familiarity with linear algebra any one of MathMathor CS should be sufficient Sections To review material from the prerequisites or to supplement the lecture material, there will occasionally be extra discussion sections held on Friday.
Stanford on iTunes U is an archive of audio and video content from schools, departments, and programs across the university on Apple's popular iTunes platform.
What is this course about? What do web search, speech recognition, face recognition, machine translation, autonomous driving, and automatic scheduling have in common? These are all complex real-world problems, and the goal of artificial intelligence (AI).
T he Stanford Language Center has been o ffering the highest quality language instruction and assessment since its establishment in With course offerings in more than forty languages, SLC programs are proficiency-oriented and standards-based.
Stanford University was founded in by Leland and Jane Stanford, dedicated to Leland Stanford Jr, their only child. The institution opened in on Stanford's previous Palo Alto farm. The increasing importance of big data in engineering and the applied sciences motivates the Department of Statistics and ICME (Institute for Computational and Mathematical Engineering) to collaboratively offer a M.S.
track that trains students in data science with a computational focus. The two-year Stanford MBA Program is a full-time, residential course of study that leads to a general management degree while helping you develop your vision and the skills to achieve it.Stanford online course