http://www.merlot.org:80/merlot/ A search of MERLOT materials Copyright 1997-2013 MERLOT. All rights reserved. Sat, 25 May 2013 16:06:44 PDT Sat, 25 May 2013 16:06:44 PDT http://www.merlot.org:80/merlot/images/merlot.gif http://www.merlot.org:80/merlot/ 44 34 http://www.merlot.org/merlot/viewMaterial.htm?id=620086 This course will explore SQL as well as other advanced topics, including query optimization, concurrency, data warehouses, object-oriented extensions, and XML. The student can expect to become more proficient in writing queries and achieve a better understanding of the field. This free course may be completed online at any time. See course site for detailed overview and learning outcomes. (Computer Science 410) http://www.merlot.org/merlot/viewMaterial.htm?id=435418 Computers are used to find, store, process and share data and information. The World Wide Web is an example of a vast store of information, which can be searched. This material will introduce you to what a web browser is and how to use one. The use of search engines to find information more effectively on the web will also be demonstrated. This unit looks at how data is transformed into information and relates the topics of data and information to the computer. These are fundamental issues in an understanding of the way in which the computer has shaped and changed contemporary life. http://www.merlot.org/merlot/viewMaterial.htm?id=351548 Introduction to Robotics is one of the ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Artificial Intelligence series and is taught by Professor Oussama Khatib of Stanford University's Computer Science Department. The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of relevant results from geometry, kinematics, statics, dynamics, and control.The course is presented in a standard format of lectures, readings and problem sets. Topics: robotics foundations in kinematics, dynamics, control, motion planning, trajectory generation, programming and design. http://www.merlot.org/merlot/viewMaterial.htm?id=351579 Machine Learning is one of the ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Artificial Intelligence series and is taught by Andrew Ng, Assistant Professor of Stanford University's Computer Science Department. This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins); reinforcement learning and adaptive control. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing. http://www.merlot.org/merlot/viewMaterial.htm?id=387886 Computer Fundamentals provides students with a foundation in the skills and knowledge needed for today's technology-based careers. Students learn the components of systems-from the CPU and memory to input devices and peripherals-and how these components interact with an operating system to perform critical tasks. They develop a basic understanding of what can go wrong and how to recover. Learners also explore how computers connect to the Internet, what services can be found online, how they can be used, and what dangers exist in the form of viruses, Trojans, and other malware. Students prepare to work with different types of applications, including spreadsheets, word processors, presentation creation tools, and more. This is a fully functional demonstration of one topic from the complete McGraw-Hill course. Full courses tend to be fourteen topics plus a review week, and have alternative content available for customization purposes. Once the course is placed within your Learning Management System, the instructor can turn features off and on via the functionality of the LMS. McGraw-Hill also provides solutions for hosting courses if your institution does not support a Learning Management System. The following are just some of the key facets of our development methodology: Each course begins and ends with input from subject matter experts teaching in the field. They are based on a foundation that includes Bloom's Taxonomy of Education Objectives. We build in engaging interactivity to reach learners with different learning styles and multiple intelligences. Each course is SCORM-compliant and works with all major Learning Management Systems. For information on how to purchase a course or have a course customized to your specific needs please contact us at Learning_Solutions@McGraw-Hill.com. We hope you enjoy! http://www.merlot.org/merlot/viewMaterial.htm?id=444850 Sitio Educativo que permite realizar cursos on-line de Informática gratuitos http://www.merlot.org/merlot/viewMaterial.htm?id=596567 This innovative, trans-faculty subject teaches how information technologies (IT) are reshaping and redefining the health care marketplace through improved economies of scale, greater technical efficiencies in the delivery of care to patients, advanced tools for patient education and self-care, network integrated decision support tools for clinicians, and the emergence of e-commerce in health care. Student tutorials provide an opportunity for interactive discussion. Interdisciplinary project teams comprised of Harvard and MIT graduate students in medicine, business, law, education, engineering, computer science, public health, and government collaborate to design innovative IT applications. Projects are presented during the final class. http://www.merlot.org/merlot/viewMaterial.htm?id=520820 Course Description This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python™ programming language. http://www.merlot.org/merlot/viewMaterial.htm?id=350166 Programming Methodology is one of ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Introduction to Computer Science series and is taught by Mehran Sahami, Associate Professor of Stanford University's Computer Science Department.This course is the largest of the introductory programming courses and is one of the largest courses at Stanford. Topics focus on the introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. Programming Methodology teaches the widely-used Java programming language along with good software engineering principles. Emphasis is on good programming style and the built-in facilities of the Java language. The course is explicitly designed to appeal to humanists and social scientists as well as hard-core techies. In fact, most Programming Methodology graduates end up majoring outside of the School of Engineering. Prerequisites: The course requires no previous background in programming, but does require considerable dedication and hard work. http://www.merlot.org/merlot/viewMaterial.htm?id=602630 This course covers database design and the use of database management systems for applications. It includes extensive coverage of the relational model, relational algebra, and SQL. It also covers XML data including DTDs and XML Schema for validation, and the query and transformation languages XPath, XQuery, and XSLT. The course includes database design in UML, and relational design principles based on dependencies and normal forms. Many additional key database topics from the design and application-building perspective are also covered: indexes, views, transactions, authorization, integrity constraints, triggers, on-line analytical processing (OLAP), and emerging "NoSQL" systems.