This book is assembled from lectures given by the author over a period of 10 years at the School of Computing of DePaul University. The lectures cover multiple classes, including Analysis and Design of Algorithms, Scientific Computing, Monte Carlo Simulations, and Parallel Algorithms. These lectures teach the core knowledge required by any scientis...
This book offers a concise yet comprehensive review of the principles of EU external relations law. By carefully examining the role of the Union on the global scene, it provides a systematic overview of the relevant rules and competences, reflecting on the legal developments in their political and societal context. In addition to up-to-date analyse...
This book covers the entire Business Process Management (BPM) lifecycle, from process identification to process monitoring, covering along the way process modelling, analysis, redesign and automation. Concepts, methods and tools from business management, computer science and industrial engineering are blended into one comprehensive and inter-discip...
Ccurrently many of Julia's users are hard-core developers that contribute to the language's standard libraries, and to the extensive package eco-system that surrounds it. Therefore, much of the Julia material available at present is aimed at other developers rather than end users. This is where our book comes in, as it has been written wi...
Faced with a global threat to food security, it is perfectly possible that society will respond, not by a dystopian disintegration, but rather by reasserting co-operative traditions. This book, by a leading expert in urban agriculture, offers a genuine solution to today's global food crisis. By contributing more to feeding themselves, cities c...
This book is based on the MOOC Responsible Innovation offered by the TU Delft. It provides a framework to reflect on the ethics and risks of new technologies. How can we make sure that innovations do justice to social and ethical values? How can we minimize (unknown) risks?
The book explains:
- The concept and importance of responsible innovati...
Notes from the excellent lecture on sales that Steli Efti did at Y Combinator....
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning. It also helps you develop skills such a...
This is a teaching material about object-oriented programming, illustrated with use of the programming language C#.
It is assumed, as a prerequisite, that the readers have some knowledge about imperative programming, preferably knowledge about C.
I believe that it is best to learn object-oriented programming after having learned and worked w...
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite po...
In this open publication it is shown, that sustainable low carbon development is a transformative process that constitutes the shifting from the initially chosen or taken pathway to another pathway as goals have been re-visited and revised to enable the system to adapt to changes. However, shifting entails transition costs that are accrued through ...
This open book celebrates Professor Peter Marwedel's outstanding achievements in compilers, embedded systems, and cyber-physical systems. The contributions in the book summarize the content of invited lectures given at the workshop "Embedded Systems" held at the Technical University Dortmund in early July 2019 in honor of Professor M...
This open book summarizes the research done and results obtained in the second funding phase of the Priority Program 1648 "Software for Exascale Computing" (SPPEXA) of the German Research Foundation (DFG) presented at the SPPEXA Symposium in Dresden during October 21-23, 2019.
In that respect, it both represents a continuation of Vol. 1...
This open book sets out the stress-system model for functional somatic symptoms in children and adolescents. The book begins by exploring the initial encounter between the paediatrician, child, and family, moves through the assessment process, including the formulation and the treatment contract, and then describes the various forms of treatment th...
This open book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introdu...
Tracing the shift from liberal to neoliberal education from the nineteenth century to the present day, this open access book provides a rich and previously underdeveloped narrative of value in higher education in England. Value and the Humanities draws upon historical, financial, and critical debates concerning educational and cultural policy. Rath...
In this open book, our goal is to study the fundamental concepts in programming languages, as opposed to learning a range of specific languages. Languages are easy to learn, it is the concepts behind them that are difficult. The basic features we study in turn include higher-order functions, data structures in the form of records and variants, muta...
Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control - a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive...
Lecture notes for the Yale Computer Science course CPSC 469/569 Randomized Algorithms. Suitable for use as a supplementary text for an introductory graduate or advanced undergraduate course on randomized algorithms. Discusses tools from probability theory, including random variables and expectations, union bound arguments, concentration bounds, app...
Network and System Administration usually refers only to the traditional skills and recipes for keeping computers and networks running properly. But, in truth, this view omits the most important part of the system: humans. The skill needed to comprehend and tame systems comprising both humans and machines is that of managing complexity. In this boo...
This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics.
Their pe...