About this course: This course will analyze currently available technologies for learning. Areas addressed include: learning management systems, intelligent tutors, computer adaptive testing, gamification, simulations, learning in and through social media and peer interaction, universal design for learning, differentiated instruction systems, big data and learning analytics, attention monitoring, and affect-aware systems. Participants will explore the processes for selection and implementation of suitable technologies, the design of electronic learning resources, design and application of digital media in teaching and learning, familiarization with web usability and accessibility, and critical analysis of the benefits of technologies in education.
About this course: Finding and hiring the right people is often cited as the number one concern of businesses today. It seems we are all competing for the best and brightest workers. As you will see in our time together in the second course, a critical component of the People Manager Value Proposition is to hire talented people who enable the organization to achieve its strategic goals. This course is an introduction into the topic of recruitment, selection and onboarding. At the outset of the course we will explore the importance of linking recruitment goals with overall company strategy.
About this course: Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems. This course is the second in a sequence of three.
In this course, we'll look at the facts and misconceptions around obesity and discuss key physiological and psychological concepts around the brain's control of appetite and body weight. We'll consider the biological and environmental pressures that make it easy to gain weight (and hard to lose it!). Most importantly, we'll give you the opportunity to reflect on your own knowledge and assumptions around the subject. We deliver course materials as a mixture of videos, audio-only MOOCcasts, and a selection of short readings. There are short weekly quizzes, a peer-reviewed exercise, and discussion activities on the forum.