About the Course Everything is connected: people, information, events and places, all the more so with the advent of online social media. A practical way of making sense of the tangle of connections is to analyze them as networks. In this course you will learn about the structure and evolution of networks, drawing on knowledge from disciplines as diverse as sociology, mathematics, computer science, economics, and physics. Online interactive demonstrations and hands-on analysis of real-world data sets will focus on a range of tasks: from identifying important nodes in the network, to detecting communities, to tracing information diffusion and opinion formation. Course Syllabus Week 1: What are networks and what use is it to study them? Concepts: nodes, edges, adjacency matrix, one and two-mode networks, node degree Activity: Upload a social network (e.g. your Facebook social network into Gephi and visualize it ). Week 2: Random network models: Erdos-Renyi and Barabasi-Albert Week 4: Community
GamificationAbout the Course Gamification is the application of digital game design techniques to non-game contexts, such as business, education, and social impact challenges. Video games are the dominant entertainment form of modern times because they powerfully motivate behavior. Over the past few years, gamification adoption has skyrocketed. Game thinking means more than dropping in badges and leaderboards to make an activity fun or addicting. Subtitles forall video lectures available in: English, Russian (provided by Digital October), Turkish (Koc University), and Ukrainian (provided by Bionic University) Course Syllabus The course is divided into 12 units. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. Recommended Background This course is designed as an introduction to gamification as a business practice. Suggested Readings The course is designed to be self-contained. Course Format The class will consist of video lectures, which are between 7 and 12 minutes in length. Yes. • Who should take this course?
Blaffin:: Bring it on! - Test yourself and break your limits!SI 508 - Networks: Theory and ApplicationSI 508 has been taught in various forms from 2006 to 2008 to master’s students at the University of Michigan School of Information. The course covers topics in network analysis, from social networks to applications in information networks such as the Internet. I will introduce basic concepts in network theory, discuss metrics and models, use software analysis tools to experiment with a wide variety of real-world network data, and study applications to areas such as information retrieval. As a network scientist I think networks are fun to talk about, but they are even more fun to play with. Therefore, labs are an integral part of this course. In addition to providing background material, the labs and the demos offer ample opportunity for learners to get hands-on with interactive demonstrations, real-world data sets, and a dizzying array of tools (Pajek, Guess, NetLogo, and others). - Lada Adamic Instructor: Lada Adamic, Ph.D. dScribes: Pieter Kleymeer, Hung Truong Course level: Graduate L.
Social MediaDr. Maria H. Andersen is the Director of Learning and Research for Instructure, where she acts as a translator and anthropologist to help bridge the gap between technologists who build Canvas and the education tribe who use it. She is also tasked with using existing research to improve student success through the design of features in Canvas and using data from Canvas for research about the Scholarship of Teaching and Learning. Prior to this position, Maria served as faculty at a community college for a decade, teaching social media, chemistry, and math and designing learning experiences for both traditional and online formats. Maria has worked extensively with faculty development and is also an internationally-known learning futurist.
UCV GameDev Contest 2012Learn to Program: The FundamentalsAbout the Course A computer program is a set of instructions for a computer to follow, just as a recipe is a set of instructions for a chef. Laptops, kitchen appliances, MP3 players, and many other electronic devices all run computer programs. Recommended Background This course is intended for people who have never programmed before. Suggested Readings This online course is intended to be self-contained, but if you want additional reading material you will find that Practical Programming (2nd edition): An Introduction to Computer Science Using Python 3 matches the course material closely. Course Format The class consists of 1 to 2 hours of lecture each week, which are made up of videos that are generally shorter than 10 minutes each.
events.blackboard.com/open?elqCampaignId=1605Description: Motivating students and creating community within blended and online learning environments is crucial to academic achievement and success. This open course will provide both theoretical concepts and practical tools for instructors to improve motivation, retention, and engagement within blended and online courses. Course Objectives: Identify and apply relevant motivational strategies and instructional techniquesConstruct thinking skill options for different types of learners and subjectsDesign and share innovative thinking skill activities as well as unique cooperative learningMap and apply instructional models and ideas to online learning toolsCourse Duration: April 30th- June 4th ( A total of 5 weeks) Announcing a Free, Open Course With Dr. Course Title: Instructional Ideas and Technology Tools for Online Success Enrollment is Now Open
Inciate En El Marketing 2.0 - Enrique Burgos García, Marc Cortés RicartEste libro presenta los nuevos medios, los nuevos soportes, la nueva manera de acercarse y relacionarse con los consumidores. Se trata de un acercamiento práctico, no centrado en la tecnología, sino en las personas y en la mejor forma de utilizar las nuevas herramientas (los blogs, las redes sociales, los nanoblogs, el RSS o los marcadores sociales) para ayudar a las empresas a entender y moverse en estos nuevos entornos. En primer lugar se presenta el concepto de marketing relacional, para continuar detallando qué son, cómo funcionan y cómo se le puede sacar partido a las nuevas herramientas que ofrece Internet. El libro acaba con un Social Media Plan, la guía para la puesta en marcha de un modelo de presencia en la red. Estamos en un momento en que la gente toma posesión de Internet y ésta se convierte en social: los consumidores opinamos, conversamos, nos quejamos o recomendamos.
InformationThe School of Information (SI) is a graduate-level program, strong in teaching and research, that encourages students to challenge the status quo of the information professions. Its faculty and students work to develop an integrated understanding of human needs as they relate to information systems and social structures. SI pioneers the development and application of principles of information management. Full SI Course Catalog Course(s)› › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › ›
Data Visualization Theory & PracticeIn this course you will explore the question of what visualization is, and why you should use visualizations for quantitative data. In doing so, you will address theoretical concepts and examine case studies that show the importance of effective visualizations in real world settings. Image courtesy of Ryan Harris Course Description You will also look at how to interpret meanings in visualizations. Elements of cognitive science theory are addressed, and you will practice techniques to help with your interpretations. In the lab portion of the course the main objective is to expose you to a variety of common and different digital visualization software tools. Technical Requirements Although software availability may change slightly, lab assignments will utilize the following software: Interested in a degree? This course was created by faculty in the Department of Instructional Technology and Learning Sciences at Utah State University .