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NEW STANFORD ONLINE LEARNING OPPORTUNITIES!
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GIVING 2.0: THE MOOC |
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Starts October 6 |
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This six-week course will teach you how to assess nonprofits, create a high-impact philanthropic strategy, volunteer more effectively, use existing, free technology for good, and more. |
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ORGANIZATIONAL ANALYSIS |
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Self-Paced |
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How do we make sense of organizations and the challenges they face, let alone develop means of managing them in desired directions? This is a self-paced course that you can take at your leisure. Participants will learn multiple theories of organizational behavior and apply them to actual cases of organizational change. |
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STOCKS AND BONDS: RISKS AND RETURNS |
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Self-Study, Starts October 13 |
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Stocks and bonds have always been a critical part of any investment portfolio, but what do investors actually get in exchange for their investment? Why do publicly traded stocks and bonds have value? This course presents an overview of stocks and bonds, with a focus on the finance fundamentals behind these instruments. |
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CONSTRUCTIVE CLASSROOM CONVERSATIONS: MASTERING LANGUAGE FOR COLLEGE AND CAREER READINESS (SECONDARY) |
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Starts October 1 |
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This fourteen-week course is focused on the Common Core State Standards and Next Generation Science Standards, which emphasize improving the quality of student-to-student discourse as a major feature of instruction. The sessions and assignments are designed for participants who teach or have access to classrooms in which they can gather samples of students’ conversation during lessons, and learn ways to improve students' abilities to engage in the types of interactions described in the new standards. The course includes resources and tasks for instructional coaches and others who support teachers and build school-wide capacity. |
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ALGORITHMS: DESIGN AND ANALYSIS, PART I |
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Starts October 13 |
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This six-week course covers fundamental principles of algorithm design. Learn the divide-and-conquer design paradigm, with applications to fast sorting, searching, and multiplication. Learn several blazingly fast primitives for computing on graphs, such as how to compute connectivity information and shortest paths. Study how allowing the computer to "flip coins" can lead to elegant and practical algorithms and data structures. |
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AUDIO SIGNAL PROCESSING FOR MUSIC APPLICATIONS |
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Starts October 1 |
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Audio signal processing is an engineering field that focuses on the computational methods for intentionally altering sounds, methods that are used in many musical applications. This ten-week course focuses on spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications. |
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COMPUTER SCIENCE 101 |
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Self-Paced |
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This self-paced course provides you with the opportunity to interact with course materials at your own pace. Computer Science 101 teaches the essential ideas of Computer Science for a zero-prior-experience audience. Topics include the nature of computers and code, how computer hardware works, how software works, structured data, computer security, analog vs. digital, digital media, images, sounds, video, compression, and more. |
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GAME THEORY |
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Starts October 5 |
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Game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. This nine-week course covers the basics: representing games and strategies, the extensive form (which computer scientists call game trees), Bayesian games (modeling things like auctions), repeated and stochastic games, and more. |
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INTRODUCTION TO CHEMICAL ENGINEERING |
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Self-Study |
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This self-study resource provides you with the opportunity to learn at your own pace. This course is an overview of Chemical Engineering conducted through discussion and engineering analysis of physical and chemical processes.Topics include overall staged separations, material and energy balances, concepts of rate process, energy and mass transport, and kinetics of chemical reactions. |
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INTRODUCTION TO HAPTICS |
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Self-Paced, Starts October 1 |
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This self-paced course provides you with the opportunity to interact with course materials at your own pace. Paticipants will learn how to build, program, and control haptic devices, which are mechatronic devices that allow users to feel virtual or remote environments. Topics include an introduction to haptic technology and human haptics, how to program virtual environments, mechanical characterization and simulation, and how to assemble mechanical systems, make circuits, and program Arduino-based micro-controllers. |
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INTRODUCTION TO LOGIC |
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Starts September 29 |
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Learn how to formalize information and reason systematically to produce logical conclusions in this eight-week course. Instructors will also examine logic technology and its applications — in mathematics, science, engineering, business, and law. |
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MACHINE LEARNING |
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Started September 22 |
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Machine learning is the science of getting computers to act without being explicitly programmed. In this 10-week course, participants will learn about the most effective machine learning techniques, and gain practice implementing them. Topics include supervised learning, unsupervised learning, and best practices in machine learning. |
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MINING MASSIVE DATASETS |
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Starts September 29 |
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This seven-week course teaches algorithms for extracting models and other information from very large amounts of data, with an emphasis on techniques that are efficient and that scale well. |
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QUANTUM MECHANICS FOR SCIENTISTS AND ENGINEERS |
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Starts September 30 |
This course aims to teach quantum mechanics to anyone with a reasonable college-level understanding of physical science or engineering.
Topics include an introduction to quantum mechanics, Schroedinger's wave equation, getting "quantum" behavior, quantum mechanics of systems that change in time, measurement in quantum mechanics, writing down quantum mechanics simply, the hydrogen atom, and how to solve real problems. |
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TECHNOLOGY ENTREPRENEURSHIP PART II |
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Started September 22 |
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This four-week course is the second half of a course on the fundamentals of technology entrepreneurship. Topics include how to create and verify a plan for gathering resources such as talent and capital, create and verify a business model for how to sell and market an entrepreneurial idea, and generalize this process to an entrepreneurial mindset of turning problems into opportunities that can be used in larger companies and other settings. |
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SURVEILLANCE LAW |
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Starts October 14 |
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This six-week course explores how American law facilitates electronic surveillance – but also substantially constrains it. Topics include the basics of surveillance law, applying surveillance law to information technology, compelled assistance to law enforcement, the structure of foreign intelligence surveillance law, and controversial NSA programs. |
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INTRODUCTION TO MATHEMATICAL THINKING |
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Starts September 29 |
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In this ten week course participants will learn how professional mathematicians solve real problems – problems that can arise from the everyday world, from science, or from within mathematics itself. Mathematical thinking is different from doing “school math,” which typically focuses on learning procedures to solve highly stereotyped problems. While the key to success in “school math” is to learn to think inside-the-box, a key aspect of mathematical thinking is to think outside-the-box – a valuable ability in today’s world. |
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MEDICAL EDUCATION IN THE NEW MILLENNIUM |
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Starts October 1 |
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This eleven-week interdisciplinary course focuses on the future of medical education, featuring talks from thought leaders and innovators from medical education, instructional design, cognitive science, online learning, and emerging technology. Joining the conversation will be experts from all health care and education stakeholder domains, including patients, and students from nursing, medicine and engineering sciences. |
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INTRODUCTION TO THE NATURAL CAPITAL PROJECT APPROACH |
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Self-Paced, Starts October 15 |
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This course provides you with the opportunity to interact with course materials at your own pace. Discover how to integrate nature's value into decisions affecting the environment and human well-being. Topics include an introduction to the concepts of natural capital and ecosystem services; an overview of InVest, a software tool for mapping, modeling, and valuing ecosystem services; how to effectively summarize and communicate model outputs to stakeholders and other audiences; and more. |
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SOCIAL AND ECONOMIC NETWORKS: MODELS AND ANALYSIS |
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Started September 21 |
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Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions. |
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OTHER LEARNING ACTIVITIES:
STATE OF THE UNION 2014
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Now Open |
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We live in an age of rising inequality, dazzling technological innovation, economic volatility, geopolitical uncertainty, and the accumulating impact of climate change. These conditions confront our political leaders and us as citizens of a democracy plagued by dysfunction. What are the implications for the body politic? State of the Union 2014 will examine major themes that contribute to the health, or disease, of the U.S. body politic. |
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Thank you for your interest in learning opportunities available through Stanford Online. We offer many free, online courses taught by Stanford faculty to lifelong learners worldwide for self-enrichment. We also offer a variety of professional education opportunities in conjunction with many of the university's schools and departments. Courses available through Stanford Online are listed at http://online.stanford.edu/courses/.
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