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This book is a foefie slide straight back to your youth in South Africa. Remember? When you wore bell bottoms and wound up cassette tapes with a Bic pen. When 'The World at War' was on TV and LM Radio played on the radiogram, and when there were call-up papers in the mailbox and 2 c stamps on letters. VW Beetles were everywhere, the Bay City Rollers were it, and the smell of Wintergreen filled the change rooms. On these pages, hundreds of the little things that made up the world for many in the 70s and 80s come to life in Trevor Romain's whimsical drawings and laugh-out-loud commentary. 'It's not inside, it's on top!' - or is it? In this book it's all inside. Enjoy the ride.
Take a tour with Trevor Romain of some of his wildest, most memorable experiences in this collection of coming-of-age stories about living in South Africa in the 1970s. Whether he was scaling walls in search of mulberry leaves for his shoebox of silkworms, hitchhiking to the local ice rink on a Friday night, or keeping his head firmly down as a new conscript, these anecdotes will leave you laughing, crying, or just shaking your head in disbelief. Every story is accompanied by one of Trevor’s iconic drawings, which have been carefully crafted with a pitch-perfect combination of humour and nostalgia to leave an enduring imprint on your own memories and to keep you wanting more. Both entertaining and deeply moving, this is a book perfect for anyone looking for what it really means to be proudly South African.
Present Imperfect asks how South African writers have responded to the end of apartheid, to the hopes that attended the birth of the 'new' nation in 1994, and to the inevitable disappointments that have followed. The first full-length study of affect in South Africa's literature, it understands 'disappointment' both as a description of bad feeling and as naming a missed appointment with all that was promised by the anti-colonial and anti-apartheid Struggle (a dis-appointment). Attending to contemporary writers' treatment of temporality, genre, and form, it considers a range of negative feelings that are also experiences of temporal disjuncture-including stasis, impasse, boredom, disaffection, and nostalgia. Present Imperfect offers close readings of work by a range of writers - some known to international Anglophone readers including J.M. Coetzee, Nadine Gordimer, Ivan Vladislavic, and Zoë Wicomb, some slightly less well-known including Afrikaans-language novelists Marlene van Niekerk and Ingrid Winterbach, and others from a new generation including Songeziwe Mahlangu and Masande Ntshanga. It addresses key questions in South African studies about the evolving character of the historical period in which the country now finds itself. It is also alert to wider critical and theoretical conversations, looking outward to make a case for the place of South African writing in global conversations, and mobilizing readings of writing marked in various ways as 'South African' in order to complicate the contours of World Literature as category, discipline, and pedagogy. It is thus also a book about the discontents of neoliberalism, the political energies of reading, and the fates of literature in our troubled present.
This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data. Throughout the text, the R package is used to compute probabilities, check analytically computed answers, simulate probability distributions, illustrate answers with appropriate graphics, and help students develop intuition surrounding probability and statistics. Examples, demonstrations, and exercises in the R programming language serve to reinforce ideas and facilitate understanding and confidence. The book’s Chapter Highlights provide a summary of key concepts, while the examples utilizing R within the chapters are instructive and practical. Exercises that focus on real-world applications without sacrificing mathematical rigor are included, along with more than 200 figures that help clarify both concepts and applications. In addition, the book features two helpful appendices: annotated solutions to 700 exercises and a Review of Useful Math. Written for use in applied masters classes, Probability and Mathematical Statistics: Theory, Applications, and Practice in R is also suitable for advanced undergraduates and for self-study by applied mathematicians and statisticians and qualitatively inclined engineers and scientists.
For the past 150 years, critics have referred to 'the Gogol problem', by which they mean their inability to account for a life and work that are puzzling, often opaque, yet have proved consistently fascinating to generations of readers. This book proceeds on the assumption that Gogol's life and work, in all their manifestations, form a whole; it identifies, in ways that have eluded critics to date, the rhetorical strategies and thematic patterns that create the unity. These larger concerns emerge from a close study of the major texts, fictional and nonfictional, and in turn are set in a broad artistic and intellectual context, Russian and European, with special attention to German philosophy, the visual arts, and Orthodox Christian theology.
A comprehensive guide to sampling for engineers, covering the fundamental mathematical underpinnings together with practical engineering principles and applications.
This is a practical introduction to the key computing concepts of networks and communications, suitable for a first year undergraduate or industrial course. It provides the foundational knowledge on which to build a fully developed understanding of modern communications methodologies, techniques and standards. It will also be a useful professional reference companion.; The book begins with a general introduction to data communications and the options commonly open to the system designer. It then provides overviews of the key areas in which design decisions must be made: communication media; interface standards; network architectures; modems and multiplexers; network topologies, switching and access control; local area networks; wide-area networks; performance; software issues; security; and implementation.; As a second edition of an established text the book has been thoroughly revised and improved but retains the strengths of the first edition in its clear and well- illustrated exposition. It includes current developments in standards and architecture including ATM, B-ISDN, SNMP, TCP/IP, and other state-of-the- art features of the computer communications world.; In its first edition the book was an authoritative textbook and personal reference for industry. In this new edition it should be even more essential for all with a need for an accessible modern technical introduction to computer communications and networks. Suitable for a practically orientated computer science course at degree level or for an introductory industrial course.
E.E. Slutsky is perhaps the Russian/Ukrainian economist most quoted by mainstream economists today. This is the first research monograph to examine the life and work of the internationally-renowned economist and mathematician. It does so from both a ‘history of economics’ perspective and a ‘history of science’ perspective, bringing these two strands together in order to demonstrate Slutsky’s enduring legacy as an innovative researcher and an influential intellectual. It also presents some of Slutsky’s lesser-known (and hitherto-unavailable) works in English translation.
Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks. Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics. Key features: Provides a complete discussion of both the hardware and software used to organize big data Describes a wide range of useful applications for managing big data and resultant data sets Maintains a firm focus on massive data and large networks Unveils innovative techniques to help readers handle big data Matthias Dehmer received his PhD in computer science from the Darmstadt University of Technology, Germany. Currently, he is Professor at UMIT – The Health and Life Sciences University, Austria, and the Universität der Bundeswehr München. His research interests are in graph theory, data science, complex networks, complexity, statistics and information theory. Frank Emmert-Streib received his PhD in theoretical physics from the University of Bremen, and is currently Associate professor at Tampere University of Technology, Finland. His research interests are in the field of computational biology, machine learning and network medicine. Stefan Pickl holds a PhD in mathematics from the Darmstadt University of Technology, and is currently a Professor at Bundeswehr Universität München. His research interests are in operations research, systems biology, graph theory and discrete optimization. Andreas Holzinger received his PhD in cognitive science from Graz University and his habilitation (second PhD) in computer science from Graz University of Technology. He is head of the Holzinger Group HCI-KDD at the Medical University Graz and Visiting Professor for Machine Learning in Health Informatics Vienna University of Technology.
Comprehensive, yet concise, this textbook is the go-to guide to learn why probability is so important and its applications.