25.8.2
This website uses cookies to ensure you get the best experience on our website. Learn more

Short Online Course

87 Credentials
Viewing 1-10 of 87

Advanced Creative Writing

Helping any coach deepen their practice in various ways: enhancing intervention skills, better understanding clients' needs, drawing on evidence, exploring attitudes to work/clients, and expanding client bases and professional standing. This course promises to be an exciting departure from traditional advanced programmes that generally offer intense immersion in one particular model but do little to help the coach develop their own practice in ways that are critical to them. You may be a business, life, sports, health, or financial coach; work in corporate, private or public sectors; with in-house, external, or assigned clients (paying or provided with your services for nothing); with years of experience, or just be beginning. Whatever your situation, your practice will be deepened and developed as a result of attending. The course is particularly suited to students who have completed an initial coaching programme, whether recently or some time ago, and are keen to expand their practice. Over ten weeks, you will be supported as you develop plans, identify key areas, gain peers to work alongside, and be guided and encouraged as you put those plans into practice. There will be opportunities to enhance your intervention skills, better understand clients' needs, draw on evidence rather than hearsay, explore your own attitudes to work and clients, expand client numbers, and build your professional standing.
Skills
  • Creative Writing

Animal Behaviour: An Introduction

Beginning with the courts of fifteenth-century Flanders, Burgundy and Italy, furniture design reflected contemporary architectural forms and ornament from the late Gothic period into the classical Renaissance. During the seventeenth century, the magnificence of Baroque art was echoed in the design of luxurious suites of furniture to serve the imperatives of absolute rulers like Louis XIV at the Palace of Versailles, whose fashions were widely imitated at other courts. With the eighteenth century came an interest in creating more intimate spaces such as the private salon, and furniture design responded accordingly. Early in the nineteenth century, the classicism of Napoleonic France and the eclecticism of Regency England gave rise to an explosion of new forms, styles, ornaments and techniques in furniture and interiors. This eclecticism continued throughout the nineteenth century in multiple stylistic revivals, finally ending in new, more modest styles of design aimed at a middle-class audience, as with the widely influential Arts and Crafts Movement. Formal lectures each week provide the course structure during the first half of the class; students have an opportunity to discuss concepts and examples in the less formal second half of class. In addition to background reading, students are asked to develop visual analytical skills through looking at examples of furniture and interiors in museums and historic houses. More technical aspects of furniture-making such as materials and techniques will also be considered, and students will have practice in descriptive writing before a class visit to the galleries of the Ashmolean Museum. The written assignment will ask students to combine visual analysis with historical context.
Skills
  • Biological Sciences, Environmental Sciences

Artificial Intelligence Concepts: Practical Applications

artificial intelligence, n. The capacity of computers or other machines to exhibit or simulate intelligent behaviour; the field of study concerned with this. source: Oxford English Dictionary Artificial Intelligence (AI) has become ingrained in the fabric of our society, often in seamless and pervasive ways that may escape our attention day-to-day. The ability of machines to sense, process information, make decisions and learn from experience is a transformative tool for organisations, from governments to big business. However, these technologies pose challenges, including social and ethical dilemmas. This course focuses on real-world applications of AI to significant problems facing the 21st century, covering critical concepts like AI ethics and fairness, with examples from disaster planning, sustainable development, and human health. By focusing on diverse case studies, it helps develop a critical approach to AI applications, a recognition of practical and ethical challenges, a strategy to keep abreast of developments in AI, and an ability to generalise knowledge to new domains. It is aimed at a general audience, including professionals whose work brings them into contact with AI and those with no prior knowledge of AI. This is part of a series of courses that aim to confer an appreciation of how AI has already transformed our world, explain the fundamental concepts and workings of AI, and equip us with a better understanding of how AI will shape our society so that we can converse fluently in the language of the future. This course does not involve any coding and instead focuses on concepts in Artificial Intelligence for a general audience.
Skills
  • Computing, Engineering

Artificial Intelligence Concepts: Introduction to Machine Learning

artificial intelligence, n. The capacity of computers or other machines to exhibit or simulate intelligent behaviour; the field of study concerned with this. source: Oxford English Dictionary Artificial Intelligence (AI) has become ingrained in the fabric of our society, often in seamless and pervasive ways that may escape our attention day-to-day. The ability of machines to sense, process information, make decisions and learn from experience is a transformative tool for organisations, from governments to big business. However, these technologies pose challenges, including social and ethical dilemmas. This Introduction to Machine Learning sheds light on the methods at the heart of the AI revolution, introducing fundamental concepts motivating Machine Learning and differentiating types of Machine Learners. This course studies various approaches covering supervised and unsupervised learning, including clustering, neural networks, and deep learning. It considers the application of Machine Learning to long-standing problems like natural language processing and the challenges and opportunities Machine Learning presents for the global economy. It is aimed at a general audience, including professionals whose work brings them into contact with AI and those with no more than a passing acquaintance with AI. This is part of a series of courses that aim to confer an appreciation of how AI has already transformed our world, explain the fundamental concepts and workings of AI, and equip us with a better understanding of how AI will shape our society so that we can converse fluently in the language of the future. This course makes extensive use of mathematical notation consistent with its level as a first-year undergraduate course (FHEQ level 4) in a mathematically-inclined discipline, such as economics, engineering, or computer science. The course does not involve any coding and instead focuses on concepts in Artificial Intelligence for a general audience.
Skills
  • Computing
Viewing 1-10 of 87