Computational Probability and Inference Course Syllabus Skip Syllabus Description Week 1: Introduction to probability and computationA first look at basic discrete probability, how to interpret it, what probability spaces and random variables are, and how to code these up and do basic simulations and visualizations. Week 2: Incorporating observationsIncorporating observations using jointly distributed random variables and using events. Week 3: Introduction to inference, and to structure in distributions The product rule and inference with Bayes' theorem. Week 4: Expectations, and driving to infinity in modeling uncertainty Expected values of random variables. Week 5: Efficient representations of probability distributions on a computer Introduction to undirected graphical models as a data structure for representing probability distributions and the benefits/drawbacks of these graphical models. Week 11: Final project part I Mystery project Week 12: Final project part II Mystery project, cont’d
Web Development Online Course Lesson 1: How the Web Works (2.5 hours) In this first lesson, you will learn basic concepts regarding the internet, browsers, HTML, and how all those elements fit together. You’ll start using HTML (HyperText Markup Language) to format content for webpages. Then you’ll get to see the mechanics of how the web works: HyperText Transfer Protocol (HTTP) via GET and POST requests. In the first problem set, you will get a simple website up and running with the Google App Engine platform. Lesson 2: Forms and Input (4 hours) In this second lesson you will learn about forms, a very common way to obtain input from users. Lesson 3: Databases (6 hours) You learned about getting all sorts of information from users in the previous lesson, but what do you do with it once it’s in your hands? Lesson 4: User Accounts and Security (6 hours) In this fourth lesson, you will learn the fundamentals of authentication and security, which are very relevant topics in almost any web application built today.
Maxime LEGRAND - Economiste MSC DATA SCIENCE | IIHT International The rate at which we are able to create data is rapidly accelerating. This ranges from biomedical data to social media activity and climate monitoring to retail transactions. These enormous quantities of data hold the keys to success across many domains from business and marketing to treating cancer or mitigating climate change. “According to IBM, globally, we currently produce over 2.5 Quintilian bytes of data a day.” The pace at which we produce data is rapidly outstripping our ability to analyse and use it. Aims and outcomes: The Data Science Masters degree will provide the students with an in-depth understanding of the theory and practice of Data Science and its application in different organisational contexts. Program Structure Year 1 Semester I: 1. Semester II: 1. Year 2 Semester III: 1. Semester IV: 1.Big Data 2. Electives 1.
Nutrition and Health Part 1: Macronutrients and Overnutrition Food plays a central role in our society but few people actually understand what it does to our bodies. Learn more about nutrition and how our diet profoundly impacts our current and future health.This introductory nutrition course addresses the relationship between nutrition and human health with a focus on health problems related to overnutrition. In this course, Professor Sander Kersten from Wageningen University will introduce you to the chemistry of the three macronutrients fat, carbohydrate and protein. No previous knowledge needed. NUTR101x is part of the Nutrition - Food for Health XSeries of Wageningen University. Learn Responsive Images | Udacity Lesson 1 - Getting up and Running Before you start working with responsive images, you need to start debugging on your mobile devices. This lesson will help you get started with Developer Tools and mobile debugging. Lesson 2 - Units, Formats, Environments You can't optimize what you can't measure. You will also get a chance to set up your development environment so that responsive images become a painless part of your workflow. At the end of the lesson, you will start working on the responsive blog project, where you have a chance to apply responsive image principles in a real-world scenario! Topics covered: Sizing ImagesFile TypesAutomation Tools Lesson 3 - Images with Markup Not all graphics need to be .JPGs or .PNGs. At the end of the lesson, you will replace extraneous images with markup techniques and take advantage of font icons to add social media icons to the responsive blog project! CSS TechniquesInlining ImagesUnicodeIcon fonts Lesson 4 - Full Responsiveness Here comes the full monty!
Artificial Intelligence | Electrical Engineering and Computer Science Page 126 Strategic Communication Management Summit 2010 October 5–7, Waterview Conference Center, Washington DC A new city, a new format and a new focus for internal communicators. www.melcrum.com/ussummit 19 July 2010 www.nedsjotw.com “If all difficulties were known at the outset of a long journey, most of us would never start out at all.” – Dan Rather Welcome to the JOTW network. JOTW is a cooperative service. The award-winning, free Job of the Week e-mail networking newsletter for professional communicators is dedicated to the positive unanticipated consequences of networking, or as we call it, “nedworking.” How does it work? You are among 11,646 subscribers in this community of communicators. This is newsletter number 838. This network is all about connecting communicators and sharing opportunities. I can’t change your e-mail address for you. If you can read this newsletter, then you are on the JOTW list. In this issue: (To view these jobs, scroll down to the listings in the content of this newsletter)
So You Want to Become a Biomedical Engineer Course Syllabus LESSON 1: Introduction Overview Course Structure LESSON 2: Biomedical Engineering Defined What is a BME A Very Broad Field How BMEs Differ from Other Engineers Is BME Right for You? Helping You Get There LESSON 3: The Big Picture A Multidisciplinary Field A Simple History of Science What Biomedical Engineering Provides LESSON 4: Practical Applications Introduction Clinical Engineering Working in the Clinical Setting Rehabilitation Engineering Neural Prostheses Working with Patients Exoskeletons Performance Enhancement Monitoring Pilot Fatigue How They Got Here LESSON 5: Starting from Physiology Introduction Cardiac Engineering Reanimating Human Hearts Lessons from Hibernating Bears Physiological Systems Modeling Modeling Neural Circuits for Parkinson’s and Epilepsy Control How They Got Here LESSON 6: Neural Engineering LESSON 7: Biomedical Imaging Introduction Functional Brain Imaging Cardiac Imaging How They Got Here LESSON 8: Biomedical Image Processing
App Monetization | Udacity Lesson 1: Introducing Monetization Developing an appropriate monetization strategy is comparable to finding the product/market fit for a new idea. This lesson will get you started on the path to finding that strategy by helping you think about profitability from the very beginning. Lesson 2: Monetization Strategies They say nothing happens before you make your first dollar. Lesson 3: Implement a Monetization Plan Monetization strategies change over time as the user base grows and the product evolves. Lesson 4: Optimize Your Model In the final lesson, you will learn how to react and re-engage users if your monetization strategies don’t originally work. Case Study: Wufoo Learn how Kevin Hale got started with Wufoo (sold to SurveyMonkey).
La stratégie de l’araignée