Top five regrets of the dying. There was no mention of more sex or bungee jumps. A palliative nurse who has counselled the dying in their last days has revealed the most common regrets we have at the end of our lives. And among the top, from men in particular, is 'I wish I hadn't worked so hard'. Bronnie Ware is an Australian nurse who spent several years working in palliative care, caring for patients in the last 12 weeks of their lives. She recorded their dying epiphanies in a blog called Inspiration and Chai, which gathered so much attention that she put her observations into a book called The Top Five Regrets of the Dying.
Ware writes of the phenomenal clarity of vision that people gain at the end of their lives, and how we might learn from their wisdom. Here are the top five regrets of the dying, as witnessed by Ware: 1. "This was the most common regret of all. 2. "This came from every male patient that I nursed. 3. "Many people suppressed their feelings in order to keep peace with others. 4. 5. TechniCity. Social Network Analysis. 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. Discrete Optimization. About the Course Optimization technology is ubiquitous in our society. It schedules planes and their crews, coordinates the production of steel, and organizes the transportation of iron ore from the mines to the ports. Optimization clears the day-ahead and real-time markets to deliver electricity to millions of people. It organizes kidney exchanges and cancer treatments and helps scientists understand the fundamental fabric of life, control complex chemical reactions, and design drugs that may benefit billions of individuals.
This class is an introduction to discrete optimization and exposes students to some of the most fundamental concepts and algorithms in the field. An introductory lecture to the course can viewed here. Course Syllabus The course has an open format. Course Format The class will consist of lecture videos, which are between 8 and 20 minutes in length (approximately 3 hours per week), and programming assignment covering the course concepts and exercising creativity. Computational Photography.