Provides a strategic framework for people who practice UX research who wish to be heard by their stakeholders. This title gives you the techniques needed to involve stakeholders throughout the process of planning, execution, analysis, and reporting UX research.
This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. It develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples. Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical significance and scientific meaning. This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Treating optimization runs as experiments, the author offers methods for solving complex real-world problems that involve optimization via simulation, and he describes successful applications in engineering and industrial control projects. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students. It summarizes results from the author´s consulting to industry and his experience teaching university courses and conducting tutorials at international conferences. The book will be supported online with downloads and exercises.
Bachelor Thesis from the year 2009 in the subject Computer Science - Commercial Information Technology, grade: 1,3, University of Frankfurt (Main) (Institute of Information Systems), language: English, abstract: The Information Systems (IS) research discipline is undergoing a serious identity crisis, seeking its sphere of activity to be relevant in practice and rigorous in scientific considerations. One reason for this is the strengthening of the Design Science approach. This new discipline developed as a synergy from aspects of engineering, architecture, and industrial design and is employed in the design of IT artifacts and software systems. Design Science is becoming a powerful trend in IS research (Vahidov 2006). It gives the IS discipline a new and more detailed focal point as pertains to the application of software and IT artifact development which is growing in importance in IS research over the time (Weber 2003; Orlikowski and Iacono 2001; Cross 2001). IS practitioners ask for new and innovative design approaches, dealing with the evolving organizational and inter-organizational tasks. The way these tasks are executed, in close cooperation with the practical business world, seems to be insufficiently considered. The debate in IS research is carried out between traditional scientists and the knowledge-producing researchers/practitioners and ´´it could be argued that research aimed at developing IT systems, at improving IT practice, has been more successful and important than traditional scientific attempts to understand it´´ (March and Smith 1995, p. 252). IS researchers are mainly focused on the behavioral impact of new IT solutions within a business unit. These concepts are needed to describe the relationship between the humans and the technology. However, this way of conducting research is descriptive and evaluative. Instead of telling ´´what is´´ or ´´what will be´´, Design Science is giving guidance as to ´´how to do´´ things (Walls et al. 1992). The importance of this new approach is given through the rapid development of business needs and the increased necessity to solve business problems through the implementation of IT solutions. The knowledge base for designing new solutions has not yet been fully developed. IT consultants borrow knowledge from reference disciplines and apply this knowledge to present problems. This way of providing solutions is not compatible with Design Science as an area of research. A relevant design approach needs to give new answers to phenomena thus far unsolved. However, the IS discipline has not yet established a solid groundwork for Design Science within its discipline.
The 26th annual IDIMT conference is continuing in its tradition as an interdiscipli-nary forum for multi-disciplinary, multi-national, and future-oriented research. It deals with current and future effects and challenges caused by Information and Communication Technologies (ICT) and the progressive digitalization of our lives, our society and economics by expanding its fields of applicability. The seamlessness offered by digitalization leads to a permanent transformations of daily processes, also reflected in changes in everyday life. As a consequence the interdependence between Society, Technology and Economy is increasing. It is a challenge to our innovative capacity. Based on a blind review process 43 submitted papers were accepted together with 10 invited papers. The authors come from 10 different countries: Austria, Croatia, Czech Republic, Denmark, Germany, Kazakhstan, Russia, Slovakia, Slovenia and Ukraine. The papers have been grouped according to the following themes: Opening: Brave New World of ICT Innovation, New Business Models and Strategies Digital Economy and Industry 4.0 Leadership development, innovation behavior and creativity Performance Management Digital Single Market Innovation Social Media Cyber Security Crisis Management e-Health Smart Systems Everywhere - Intelligence, Autonomy, Technology and Society
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.
Daniel Link explores how data analytics can be used for studying performance in soccer. Based on spatiotemporal data from the German Bundesliga, the six individual studies in this book present innovative mathematical approaches for game analysis and player assessment. The findings can support coaches and analysts to improve performance of their athletes and inspire other researchers to advance the research field of sports analytics.