The idea that digital technology triggers profound change in companies is largely accepted. There is indeed no question that the digital world is profoundly changing business life. Everyone is now on the same page. But with the digital world come a lot of misconceptions and buzzwords. You can no longer get by with these commonplaces or general ideas. You need to gain a detailed understanding of the main new management paradigms: new marketing approaches, the role of data in data-driven management, large businesses’ struggle to innovate, etc. This will give you precise insight into changes at work. Without precision, it is difficult to understand. Without understanding, it is impossible to act. This module will tell you how. Week 1 : Big Picture Week 2 : Operational Area Week 3 : Focus Area

This course will introduce learners to different approaches to thinking about housing justice, bringing together material, ecological, social and spatial approaches to thinking about housing. Rooting itself in Indian cities, but speaking more broadly to struggles for housing justice more globally, it will offer a diagnosis of what housing justice looks like as well as the modes and practices that can move us towards it ranging from activism and direct action to public policy and participatory governance.

This course from Lunds university will help you understand and use AI so that you can transform your organisation to be more efficient, more sustainable and thus innovative. The lives of people all over the world are increasingly enhanced and shaped by artificial intelligence. To organisations there are tremendous opportunities, but also risks, so where do you start to plan for AI, business and the future of work? Whether you are in the public or private sector, in a large organisation or a small shop, AI has a growing impact on your business. Most organisations don’t have a strategy in place for how to make AI work for them. The teacher, Anamaria Dutceac Segesten, will guide you through the topics with short lectures, interviews and interactive exercises meant to get you thinking about your own context. 12 industry professionals, AI experts and thought leaders from different industries have been interviewed and will complement the short lectures to give you a broad overview of perspectives on the topics. You will meet: Kerstin Enflo Professor in Economic History Lund University Dr. Irene Ek Founder Digital Institute Samuel Engblom Policy Director The Swedish Confederation of Professional Employees Pelle Kimvall Lead Solution Ideator AFRY X Joakim Wernberg Research Director, Digitalisation and Tech Policy Swedish Entrepreneurship Forum Marcus Henriksson Empathic Leader of AI & Automation and Digital Business Development Empathic Johan Grundström Eriksson Board Advisor, Innovation Management & Corporate Governance Founder & Chairman, aiRikr Innovation AB Jakob Svensson Professor in Media and Communication Studies Malmö University Ulrik Franke Senior Researcher RISE Research Institutes of Sweden Björn Lorentzon Nordic Growth Lead Sympa Anna Felländer Founder AI Sustainability Center Prof. Fredrik Heintz Associate Professor of Computer Science Linköping University

This course will focus on capturing the evolution of interest rates and providing deep insight into credit derivatives. In the first module we discuss the term structure lattice models and cash account, and then analyze fixed income derivatives, such as Options, Futures, Caplets and Floorlets, Swaps and Swaptions. In the second module, we will examine model calibration in the context of fixed income securities and extend it to other asset classes and instruments. Learners will operate model calibration using Excel and apply it to price a payer swaption in a Black-Derman-Toy (BDT) model. The third module introduces credit derivatives and subsequently focuses on modeling and pricing the Credit Default Swaps. In the fourth module, learners would be introduced to the concept of securitization, specifically asset backed securities(ABS). The discussion progresses to Mortgage Backed Securities(MBS) and the associated mortgage mathematics. The final module delves into introducing and pricing Collateralized Mortgage Obligations(CMOs).

By the end of this project, you will know how to load and pre-process a data set of text documents by converting the data set into a document feature matrix and reducing it’s dimensionality. You will also know how to run an unsupervised machine learning LDA topic model (Latent Dirichlet Allocation). You will know how to plot the change in topics over time as well as explore the distribution of topic probability in each document.

Business and environmental sustainability are not natural bedfellows. Business is about making money. Sustainability is about protecting the planet. Business is measured in months and quarters. Sustainability often requires significant short term costs to secure a sometimes uncertain long-term benefit. To some activists, all executives are exploitative, selfish one percenters. To some executives, all activists are irresponsible, unyielding extremists. And yet engaging with the issue isn’t optional – all businesses must have a strategy to deal with sustainability and, like any strategy, this involves making choices. This Strategy and Sustainability course based on Rosenberg's recently published book by Palgrave (http://www.palgrave.com/la/book/9781137501738) that encourages learners to filter out the noise and make those choices in a hard-nosed and clear-eyed way. Prof. Rosenberg’s nuanced and fact-based point of view recognizes the complexity of the issues at hand and the strategic choices businesses must make. He blends the work of some of the leading academic thinkers in the field with practical examples from a variety of business sectors and geographies and offers a framework with which senior management might engage with the topic, not (just) to save the planet but to fulfill their short, medium and long-term responsibilities to shareholders and other stakeholders. This course promises to be both engaging and thought-provoking, aimed at anyone who wishes to gain a deeper understanding of a subject that is no longer perceived as a choice but a necessity for future managers and business leaders alike.

The number of composite indices that are constructed and used internationally is growing very fast; but whilst the complexity of quantitative techniques has increased dramatically, the education and training in this area has been dragging and lagging behind. As a consequence, these simple numbers, expected to synthesize quite complex issues, are often presented to the public and used in the political debate without proper emphasis on their intrinsic limitations and correct interpretations. In this course on global statistics, offered by the University of Geneva jointly with the ETH Zürich KOF, you will learn the general approach of constructing composite indices and some of resulting problems. We will discuss the technical properties, the internal structure (like aggregation, weighting, stability of time series), the primary data used and the variable selection methods. These concepts will be illustrated using a sample of the most popular composite indices. We will try to address not only statistical questions but also focus on the distinction between policy-, media- and paradigm-driven indicators.

By the end of this project, you will learn about the concept of document scaling in textual analysis in R. You will know how to load and pre-process a data set of text documents by converting the data set into a corpus and document feature matrix. You will know how to run an unsupervised document scaling model and explore and plot the scaling outcome.

Welcome to Necessary Condition Analysis (NCA). NCA analyzes data using necessity logic. A necessary condition implies that if the condition is not in place, there will be guaranteed failure of the outcome. The opposite however is not true; if the condition is in place, success of the outcome is not guaranteed. Examples of necessary conditions are a student’s GMAT score for admission to a PhD program; a student will not be admitted to a PhD program when his GMAT score is too low. Intelligence for creativity, as creativity will not exist without intelligence, and management commitment for organizational change, as organizational change will not occur without management commitment. NCA can be used with existing or new data sets and can give novel insights for theory and practice. You can apply NCA as a stand-alone approach, or as part of a multi-method approach complementing multiple linear regression (MLR), structural equation modelling (SEM) or Qualitative Comparative Analysis (QCA). This course explains the basic elements of NCA and uses illustrative examples on how to perform NCA with R software. Topics include (i) Setting up an NCA study (ii) Run NCA and (iii) Present the results of NCA. We hope you enjoy the course!

This course examines the relation of advertising to society, culture, history, and the economy. Using contemporary theories about visual communications, we learn to analyze the complex levels of meaning in both print advertisements and television commercials. About the Course The course covers a wide range of topics, including the origins of advertising, the creation of ads, the interpretation of ads, the depiction of race, class, gender, and sexuality in advertising, sex and selling, adverting and ethics, and the future of advertising. The lectures will discuss theoretical frameworks and apply them to specific advertisements. Course Syllabus Week 1: What is advertising and where did it come from? Week 2: Am I being manipulated by advertising? Week 3: What’s in an ad beyond that which meets the eye? Week 4: How do ads get made? Week 5: What do ads teach us about race, class, gender, and sexuality? Week 6: Does sex sell? Week 7: What is the future of advertising? Recommended Background No background is required; everyone is welcome! Suggested Readings Although the lectures are designed to be self-contained, we recommend that students refer to the free online textbook ADTextOnline.org. Other free resources will be suggested for each week’s module. Course Format Most videos will be lectures with instructor talking. Each lecture will be illustrated with PowerPoint slides, print advertisements, and TV commercials. The videos for each week will consist of segments that add up to about an hour. Each week will have one quiz that will appear as stand-alone homework. All resources beyond lectures will be available online to students at no charge. Most of these will be from ADTextOnline.org. Others will be visits to the sites of ad agencies in the US and abroad, open access websites that deal with course topics, and open-access journal articles.