Books: 'Algorithmes de course'

1

S, Wagon, ed. A course in computational number theory. New York: Key College Pub. in cooperation with Springer, 2000.

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2

Uehara, Ryuhei. First Course in Algorithms Through Puzzles. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3188-6.

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3

Adamson, Iain T. Data Structures and Algorithms: A First Course. London: Springer London, 1996.

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4

Data structures and algorithms: A first course. London: Springer, 1996.

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Adamson, Iain T. Data Structures and Algorithms: A First Course. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1023-1.

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6

Barnett, Michael P. Animated algorithms: A self-teaching course in data structures and fundamental algorithms. New York: McGraw-Hill, 1986.

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7

Gass, Saul I. Decision making, models and algorithms: A first course. Malabar, Fla: Krieger Pub. Co., 1991.

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8

Decision making, models and algorithms: A first course. New York: Wiley, 1985.

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9

Vabishchevich, P. N. Computational technologies: A first course. Berlin: de Gruyter, 2015.

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10

1965-, Greif Chen, ed. A first course in numerical methods. Philadelphia: Society for Industrial and Applied Mathematics, 2011.

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11

Demazure, Michel. Cours d'algèbre. 2nd ed. Paris: Cassini, 2008.

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12

Longueville, Mark. A Course in Topological Combinatorics. New York, NY: Springer New York, 2013.

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13

Yger, Alain, and Jacques-Arthur Weil. Mathématiques appliquées L3: Cours complet avec 500 tests et exercices corrigés. Paris: Pearson Education, 2009.

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14

Divay, Michel. Algorithmes et structures de donne es ge ne riques: Cours et exercices corrige s en langage C. 2nd ed. Paris: Dunod, 2004.

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15

Reshetnikova, Irina, Mariya Kulikova, Tat'yana Verbenko, Vitaliy Luk'yanov, Mihail Skuratovskiy, Ekaterina Serditova, Yuliya Kolyasnikova, et al. Handbook of evidence in the arbitration process. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1856416.

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The Handbook of Proof is a practical guide to the algorithm of proof in cases referred to the competence of arbitration courts, starting with the features of proof in the arbitration process and further to the process of proof in a variety of categories of arbitration cases. The manual is addressed to judges of arbitration courts, practicing lawyers, teachers, graduate students and students (undergraduates) of law schools. The convergence of the practice of courts of general jurisdiction and arbitration courts makes the manual interesting for judges of courts of general jurisdiction.

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16

Inc, ebrary, ed. Moodle 1.9 multimedia: Create and share multimedia learning materials in your Moodle courses. Birmingham, U.K: Packt Publishing Ltd., 2009.

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17

Kostyukov, Viktor. Molecular mechanics of biopolymers. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1010677.

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The monograph is devoted to molecular mechanics simulations of biologically important polymers like proteins and nucleic acids. It is shown that the algorithms based on the classical laws of motion of Newton, with high-quality parameterization and sufficient computing resources is able to correctly reproduce and predict the structure and dynamics of macromolecules in aqueous solution. Summarized the development path of biopolymers molecular mechanics, its theoretical basis, current status and prospects for further progress. It may be useful to researchers specializing in molecular Biophysics and molecular biology, as well as students of senior courses of higher educational institutions, studying the biophysical and related areas of training.

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18

Panteleev, Andrey, Natal'ya Savost'yanova, and Natal'ya Fedorova. Mathematical analysis. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1077332.

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The manual contains a brief statement of the course of mathematical analysis. In contrast to existing academic literature textbook starts with a Chapter on "Basic mathematics" that covers arithmetic and algebra, i.e. the essential information needed when solving problems of higher mathematics. Along with theoretical material all the sections are accompanied by a number of examples, including illustrating the geometric and economic meanings of the introduced concepts, methods and algorithms for solving mathematical, engineering and economic challenges. Given tasks for independent solving with answers. Meets the requirements of Federal state educational standards of higher education of the last generation. For students of higher educational institutions studying the discipline "Mathematical analysis" and "Higher mathematics" and receive education on the directions of science, engineering and technology, Informatics and Economics (bachelor and master). Can be used by individuals engaged in self-education.

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19

1943-, Savitch Walter J., ed. Data structures and other objects: A second course in computer science. Redwood City, Calif: Benjamin/Cummings, 1995.

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20

1974-, Zomorodian Afra J., ed. Advances in applied and computational topology: American Mathematical Society Short Course on Computational Topology, January 4-5, 2011, New Orleans, Louisiana. Providence, R.I: American Mathematical Society, 2012.

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21

Breutmann, Bernd. Data and Algorithms. An Introductory Course. Fachbuchverlag Leipzig, 2001.

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22

Uehara, Ryuhei. First Course in Algorithms Through Puzzles. Springer, 2018.

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23

Picart, Saux. Cours de calcul formel: Algorithmes fondamentaux. Ellipses Marketing, 1999.

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24

Collins, Nick. Origins of Algorithmic Thinking in Music. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.2.

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Musicians’ relationships with algorithms have deep precedents in the confluence of music and mathematics across millennia and across cultures. Technological and musico-mathematical precedents in the ancient world predate the Arabic etymology of the term ‘algorithm’. From Guido d’Arezzo’s hand to rule systems in music theory and eighteenth-century ars combinatoria, there is a rich background to twentieth-century rule-led music making. Robotic music, too, has precedents, and there is an interesting proto-computational thread linking the automata builder Vaucanson to early programmable weaving looms. Ada Lovelace’s writing, Joseph Schillinger’s composition system, and John Pierce’s 1950 stochastic music science fiction article provide productive insight into the origins of algorithmic music. Indeed, the world’s musics reveal a panoply of interesting practices, such as campanology, Nzakara court harp music, time structures in Indian classical music, and many more examples of the rich combinations of music and mathematics often predating musical computer science.

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25

Data Structures and Algorithms: A First Course. Springer, 2011.

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26

Cormen, Thomas H., and Ronald L. Rivest. Introduction à l'algorithmique : Cours et exercices corrigés, 2e édition. Dunod, 2002.

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27

Sedgewick, Robert. Algorithmes en langage C : Cours et exercices. Dunod, 2001.

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28

First Course: Data Structures and Algorithms Using Java. iUniverse, Inc., 2004.

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29

Algorithme et programmation en Java : Cours et exercices. Dunod, 2000.

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30

Hochstättler, W., and A. Schliep. Combinatorial Algorithm Toolbox: An Interactive Course on Discrete Mathematics. Springer, 2008.

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31

Petersen, Jennifer. How Machines Came to Speak. Duke University Press, 2022. http://dx.doi.org/10.1215/9781478021827.

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In How Machines Came to Speak Jennifer Petersen constructs a genealogy of how legal conceptions of “speech” have transformed over the last century in response to new media technologies. Drawing on media and legal history, Petersen shows that the legal category of speech has varied considerably, evolving from a narrow category of oratory and print publication to a broad, abstract conception encompassing expressive nonverbal actions, algorithms, and data. She examines a series of pivotal US court cases in which new media technologies—such as phonographs, radio, film, and computer code—were integral to this shift. In judicial decisions ranging from the determination that silent films were not a form of speech to the expansion of speech rights to include algorithmic outputs, courts understood speech as mediated through technology. Speech thus became disarticulated from individual speakers. By outlining how legal definitions of speech are indelibly dependent on technology, Petersen demonstrates that future innovations such as artificial intelligence will continue to restructure speech law in ways that threaten to protect corporate and institutional forms of speech over the rights and interests of citizens.

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32

Divay, Michel. Algorithmes et structures de données : Cours et exercices en langage C. Dunod, 1999.

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33

Prassl, Jeremias. Lost in the Crowd. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797012.003.0004.

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This chapter explores the gig economy’s entrepreneurship narrative, juxtaposing platforms’ promises of autonomy, freedom, and self-determination with the sobering reality of algorithmic control. Life as a ‘micro-entrepreneur’, it turns out, is heavily conditioned by ever-watchful rating algorithms, which aggregate customer feedback and compliance with platform guidelines to exercise close control. Failure to comply can have drastic results. Moreover, depending on consumer demand, the promised flexibility of on-demand work can quickly turn into economic insecurity, as gig income is highly unpredictable from week to week. The promise of freedom similarly rings hollow for many—not least because of carefully constructed contractual agreements that ban some gig workers from taking platforms to court. Instead of enjoying the spoils of successful entrepreneurship, a significant proportion of on-demand workers find themselves trapped in precarious, low-paid work.

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34

Iliopoulos-Strangas, Julia, Egils Levits, Michael Potacs, and Jacques Ziller, eds. Die Herausforderungen der digitalen Kommunikation für den Staat und seine demokratische Staatsform | The Challenges of Digital Communication for the State and its Democratic State Form | Les défis de la communication numérique pour l’État et sa forme démocratique. Nomos Verlagsgesellschaft mbH & Co. KG, 2021. http://dx.doi.org/10.5771/9783748923787.

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Constitutional law must integrate the changes in the structure of social communication in the course of the digital revolution into the edifice of constitutional law and general constitutional doctrine, just as it must integrate the increasing dehumanisation of decisions by algorithms and artificial intelligence in both the public and private law spheres. The discussion on these multi-layered and complicated issues were lively debated by experts from theory and practice at the Societas Iuris Publici Europaei (SIPE) conference. Another topic of the conference was the acceptance of the primacy of Union law by the national supreme courts and the question of whether and how a convergence of the different points of view would be possible here.

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35

Malgouyres. Algorithmes pour l'informatique graphique : Synthèse d'images et animations 3D, cours et exercices corrigés. Dunod, 2002.

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36

Shaffer, Kris. Data versus Democracy: How Big Data Algorithms Shape Opinions and Alter the Course of History. Apress, 2019.

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37

da Costa, Sabrina C., Joao L. de Quevedo, and André F. Carvalho. Predominant polarity, polarity index, and treatment selection in bipolar disorder. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198748625.003.0015.

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Bipolar disorder (BD) is a chronic and disabling illness, with lifetime prevalence of 2.4% worldwide. Predominant polarity (PP), ie, depressive versus manic, may influence illness characteristics, treatment selection, and outcomes in BD. PP has been proposed as a course specifier for BD, although not included in the Diagnostic and Statistical Manual of Mental Disorders (5th edn) (DSM-5). The polarity index (PI), a metric algorithm that reflects antimanic versus antidepressant maintenance efficacy of available treatments for BD, is calculated as the ratio of number needed to treat (NNT) for prevention of depression and NNT for prevention of mania. Evidence indicates that the net PI of ongoing maintenance-treatment regimens for BD is related to the patient’s PP. Additionatlly, PP and PI may aid in treatment selection and outcome prediction in BD. Therefore, this chapter provides an overview of putative roles of PP and PI in the course and treatment selection for BD.

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38

Fernandez, Jean-Charles, Fabienne Lagnier, Laurence Maraninchi, and Pascal Sicard. Architectures logicielles et matérielles : Cours, études de cas et exercices corrigés. Dunod, 2000.

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39

Savitch, Walter, and Michael Main. Data Structures and Other Objects: A Second Course in Computer Science. Addison Wesley Longman, 1994.

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40

van, José. Education. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190889760.003.0007.

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This chapter investigates how platformization is affecting the idea of education as a common good on both sides of the Atlantic. The growth of online educational platforms has been explosive, in both primary and higher education. Most of these educational platforms are corporately owned, propelled by algorithmic architectures and business models. They have quickly gained millions of users and are altering learning processes and teaching practices; they boost the distribution of online course material, hence impacting curriculums; they influence the administration of schools and universities; and, as some argue, they change the governance of (public) education as a whole. The chapter explores how, powered by the Big Five, these educational platforms are pushing a new concept of learning that questions values that are fundamental to publicly funded education: Bildung, a knowledge-based curriculum, autonomy for teachers, collective affordability, and education as a vehicle for socioeconomic equality.

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41

Barakat, Amin Y., and Russell W. Chesney, eds. Pediatric Nephrology for Primary Care. American Academy of Pediatrics, 2008. http://dx.doi.org/10.1542/9781581104356.

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This clinical resource is purpose-built to help primary caregivers take a lead role in diagnosis, evaluation, and treatment of diverse pediatric kidney diseases. Diagnose and manage renal diseases with confidence. The resource book has clear, concise overviews of the full range of renal conditions you're likely to encounter; evidence-based discussion of each condition's clinical course, pathogenesis, and etiology; expert management recommendations and valuable clinical pearls, tables, algorithms, and clinical calculators to help with differential diagnosis and patient workups; advice on when to treat vs when to refer; practical implications of recent research findings; and how-to diagnostic solutions. Contents include evaluating patient presentation; history and physical examination; examination of the urine; use of the clinical laboratory; imaging of the kidney and urinary tract; prenatal and perinatal diagnosis; guidelines for patient referral; proven approaches to common conditions; congenital abnormalities; urinary tract infection; hematuria and proteinuria; glomerular disease; renal tubular disease; water and electrolyte disorders; acute kidney injury; chronic renal failure; hypertension; genetic diseases; and kidney in systemic disease.

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42

Compston, Alastair. A short history of clinical neurology. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198569381.003.0014.

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More than any other branch of medicine, the practice of neurology depends on the classical methods of intuitive conversation, structured examination, and selective investigation. We teach the importance of eliciting an accurate neurological history. The key symptoms at onset are identified and their subsequent course defined. For the experienced clinician, this process becomes routine, efficient, and quick. The competent neurologist is the one who instinctively senses relevant components of the history, appreciates the most likely underlying disease mechanisms, reliably elicits the relevant physical signs, knows which investigations are necessary and assesses their relevance in the clinical context, provides a sensible clinical formulation, and communicates the situation accurately and sensitively to the patient and relatives. Rather than slavishly collecting an encyclopaedia of facts, in which the key issues may be lost in a surfeit of redundant information, the critical components are sifted and the subsequent conversation steered down an algorithm that seeks anatomical, physiological, and pathological explanations for what the patient describes.

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43

Zubairy, M. Suhail. Quantum Mechanics for Beginners. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198854227.001.0001.

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Quantum mechanics is a highly successful yet a mysterious theory. Quantum Mechanics for Beginners provides an introduction of this fascinating subject to someone with only a high school background in physics and mathematics. This book, except the last chapter on the Schrödinger equation, is entirely algebra-based. A major strength of this book is that, in addition to the foundation of quantum mechanics, it provides an introduction to the fields of quantum communication and quantum computing. The topics covered include wave–particle duality, the Heisenberg uncertainty relation, Bohr’s principle of complementarity, quantum superposition and entanglement, Schrödinger’s cat, Einstein–Podolsky–Rosen paradox, Bell theorem, quantum no-cloning theorem and quantum copying, quantum eraser and delayed choice, quantum teleportation, quantum key distribution protocols such as BB-84 and B-92, counterfactual communication, quantum money, quantum Fourier transform, quantum computing protocols including Shor and Grover algorithms, quantum dense coding, and quantum tunneling. All these topics and more are explained fully but using only elementary mathematics. Each chapter is followed by a short list of references and some exercises. This book is meant for an advanced high school student and a beginning college student and can be used as a text for a one semester course at the undergraduate level. However it can also be a useful and accessible book for those who are not familiar but want to learn some of the fascinating recent and ongoing developments in areas related to the foundations of quantum mechanics and its applications to quantum communication and quantum computing.

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44

Olivér, Gábor. CRITIQUE OF THE ASILOMAR AI PRINCIPLES = AZ ASILOMARI ELVEK KRITIKÁJA. GeniaNet Bt., 2022. http://dx.doi.org/10.15170/cotaap-2022.

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The intelligent man with consciousness is the pinnacle of the evolution of matter that we know. So far. We know, however, that evolution will not stop. Although with sections and dead ends of varying lengths, it is moving towards the increasing complexity of organizations, so it is probably not the human in today's sense is its end point. The development of artificial intelligences that we are planning, for example, may meet both our intentions and the criteria of evolution, but as a novelty it also holds the possibility of a future without us. The latter, in turn, creates tension between the species-maintainer desires of homo sapiens and the unknown future course of evolution. The Asilomar principles seek to alleviate this tension by limiting the development of artificial intelligences. However, as technological advances lead to an increase in autonomy, this is at most a plan for time-gaining. In addition to the Asilomar program, then, there is a need for a “Second Foundation” that can reconcile the future of man not only with artificial intelligences but also with evolution. If we want to survive, the evolutionary adaptation of homo sapiens could really ease the pressure of technological determinism on us. At the 2017 International Conference on Artificial Intelligence Safety Technology in Asilomar, participants signed an agreement.[1] They were of the opinion that the development of artificial intelligences should be controlled. More specifically, to limit the future development of algorithms in a way that suits for homo sapiens. In doing so, they sought to meet the future challenges posed by autonomous technologies.[2] The question is whether the Asilomar goal is a real possibility or just a formulation of desires? In the following, after a brief introduction to the ability or get know and formability of the future, I examine the truthfulness of the Asilomar program.

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45

Hong, Sun-ha. Technologies of Speculation. NYU Press, 2020. http://dx.doi.org/10.18574/nyu/9781479860234.001.0001.

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What counts as knowledge in the age of big data and smart machines? Technologies of datafication renew the long modern promise of turning bodies into facts. They seek to take human intentions, emotions, and behavior and to turn these messy realities into discrete and stable truths. But in pursuing better knowledge, technology is reshaping in its image what counts as knowledge. The push for algorithmic certainty sets loose an expansive array of incomplete archives, speculative judgments, and simulated futures. Too often, data generates speculation as much as it does information. Technologies of Speculation traces this twisted symbiosis of knowledge and uncertainty in emerging state and self-surveillance technologies. It tells the story of vast dragnet systems constructed to predict the next terrorist and of how familiar forms of prejudice seep into the data by the back door. In software placeholders, such as “Mohammed Badguy,” the fantasy of pure data collides with the old specter of national purity. It shows how smart machines for ubiquitous, automated self-tracking, manufacturing knowledge, paradoxically lie beyond the human senses. This data is increasingly being taken up by employers, insurers, and courts of law, creating imperfect proxies through which my truth can be overruled. This book argues that as datafication transforms what counts as knowledge, it is dismantling the long-standing link between knowledge and human reason, rational publics, and free individuals. If data promises objective knowledge, then we must ask in return, Knowledge by and for whom; enabling what forms of life for the human subject?

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46

Mpedi, Letlhokwa George, ed. Santa Claus: Law, Fourth Industrial Revolution, Decolonisation and Covid-19. African Sun Media, 2020. http://dx.doi.org/10.18820/9781928314837.

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The origins of Santa Claus, or so I am told, is that the young Bishop Nicholas secretly delivered three bags of gold as dowries for three young girls to their indebted father to save them from a life of prostitution. Armed with immortality, a factory of elves and a fleet of reindeer, his has been a lasting legacy, inextricably linked to Christmas. Of course, this Christmas looks a little different. Amidst a global pandemic, shimmying down the chimneys of strangers certainly does not adhere to social distancing guidelines. Some borders remain closed, and in some instances, the quarantine period is far too long. After all, he only has 24 hours to spread cheer across the world. As with the rest of us, Santa Claus is likely to get the remote working treatment. The reindeers this year are likely to be self-driving, reminiscent of an Amazon swarm of technology, and the naughty and nice lists are likely to be based on algorithms derived from social media accounts. In the age of the fourth industrial revolution, it is difficult to imagine that letters suffice anymore. How many posts were verified as real before shared? Enough to get you a drone. Fake news? Here is a lump of coal. Will we see elves in personal protective equipment (PPE) and will Santa Claus, high risk because of age and his likely comorbidities from the copious amount of cookies, have to self-isolate in the North Pole? In fact, will there be any toys at all this year? Surely production has been stalled with the restrictions on imports and exports into the North Pole. Perhaps, there is a view to outsourcing, or perhaps, there is a shift towards local production and supply chains. More importantly, as we have done in many instances in this period, maybe we should pause to reflect on the current structures in place. The sanctification of a figure so clearly dismissive of the Global South and to be critical, quite classist must be called into question. From some of the keenest minds, the contributions in this book make a strong case against this holly jolly man. We traverse important topics such as, is the constitution too lenient with a clear intruder who has conveniently branded himself a Good Samaritan? Allegations of child labour under the guise of elves, blatant animal cruelty, constant surveillance in stark contrast to many democratic ideals and his possible threat to national security come to the fore. Nevertheless, as the song goes, he is aware when you are asleep, and he knows when you are awake. Is feminism a farce to this beloved man – what role does Mrs Claus play and why are there inherent gender norms in his toys? Then is the worry of closed borders and just how accurate his COVID-19 tests are. Of course, this brings his ethics into question. While there is an agreement that transparency, justice and fairness, nonmaleficence, responsibility, and privacy are the core ethical principles, the meaning of these principles differs, particularly across countries and cultures. Why are we subject to Santa Claus’ notions of good and evil when he is so far removed from our context? As Richard Thaler and Cass Sunstein would tell you, this is fundamentally a nudge from Santa Claus for children to fit into his ideals. A nudge, coined by Thaler, is a choice that predictably changes people’s behaviour without forbidding any options or substantially changing their economic incentives. Even with pinched cheeks and an air of holiday cheer, Santa Claus has to come under scrutiny. In the process of decolonising knowledge and looking at various epistemologies, does Santa still make the cut?

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Books on the topic 'Algorithmes de course'

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