WorldCat Identities

Vie, Jill-Jênn

Overview
Works: 10 works in 23 publications in 3 languages and 307 library holdings
Roles: Author
Publication Timeline
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Most widely held works by Jill-Jênn Vie
Programmation efficace : les 128 algorithmes qu'il faut avoir compris et codés en Python au cours de sa vie by Christoph Dürr( Book )

4 editions published in 2016 in French and held by 139 WorldCat member libraries worldwide

Les nombreux problèmes algorithmiques de ce livre constituent à la fois une formation à la programmation et une préparation efficace aux compétitions (ACM/ICPC, Google Code Jam, Prologin, France-ioi, etc.) et entretiens d'embauche d'entreprises spécialisées en informatique (telles que Google ou Facebook). La variété des problèmes étudiés convient aux étudiants des écoles d'ingénieurs comme à ceux des parcours universitaires à partir de la L3. On y trouve les algorithmes classiques de géométrie ou de recherche de plus court chemin mais également des sujets plus atypiques tels que les arbres de Fenwick ou les liens dansants de Knuth. La rédaction dégage les idées essentielles pour la compréhension et indique les détails techniques à surmonter pour une implémentation efficace. Les codes complets et succincts en Python 3 présentés dans ce livre sont disponibles sur le site d'accompagnement http://tryalgo.org. [Source : 4e de couv.]
Competitive programming in Python : 128 algorithms to develop your coding skills by Christoph Dürr( )

10 editions published between 2020 and 2021 in English and held by 122 WorldCat member libraries worldwide

"Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions. The authors highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. What to expect: * Master 128 algorithms in Python. * Discover the right way to tackle a problem and quickly implement a solution of low complexity. * Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm, plus lesser known data structures like Fenwick trees and Knuth's dancing links. * A framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. * Python code in the book and on the companion website"--
Les clefs pour l'info by Ismael Belghiti( Book )

2 editions published between 2016 and 2017 in French and held by 35 WorldCat member libraries worldwide

Gao xiao suan fa : Jing sai,Ying shi yu ti gao bi xiu 128 li = Programmation efficace by Christoph Durr( Book )

1 edition published in 2018 in Chinese and held by 3 WorldCat member libraries worldwide

Ben shu zhi zai tan tao ru he you hua suan fa xiao lv,Xiang xi chan shu le jing dian suan fa he te shu suan fa de shi xian,Ying yong ji qiao he fu za du yan zheng guo cheng,Neng bang zhu du zhe kuai su zhang wo fu za du shi dang,Zheng que lü gao de gao xiao bian cheng fang fa yi ji zi jian,Zi ce ji qiao,Shi can jia ACM/ICPC,Google Code Jam deng guo ji bian cheng jing sai,Bei zhan bian cheng kao shi,Ti gao bian cheng xiao lv,You hua bian cheng fang fa de can kao shu mu
<>( Book )

1 edition published in 2019 in Chinese and held by 2 WorldCat member libraries worldwide

Automated Test Assembly for Handling Learner Cold-Start in Large-Scale Assessments by Jill-Jênn Vie( )

1 edition published in 2018 in English and held by 2 WorldCat member libraries worldwide

Les clés pour l'info : ENS-agrégation by Ismael Belghiti( Book )

1 edition published in 2016 in French and held by 1 WorldCat member library worldwide

Competitive programming in Python : 128 algorithms to develop your coding skills by Christoph Dürr( Book )

1 edition published in 2021 in English and held by 1 WorldCat member library worldwide

"Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions. The authors highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. What to expect: * Master 128 algorithms in Python. * Discover the right way to tackle a problem and quickly implement a solution of low complexity. * Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm, plus lesser known data structures like Fenwick trees and Knuth's dancing links. * A framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. * Python code in the book and on the companion website"--
Pei yang yu duan lian cheng shi she ji de luo ji nao : cheng shi she ji da sai de 128 ge jin jie ji qiao by Diu er( Book )

1 edition published in 2019 in Chinese and held by 1 WorldCat member library worldwide

Modèles de tests adaptatifs pour le diagnostic de connaissances dans un cadre d'apprentissage à grande échelle by Jill-Jênn Vie( )

1 edition published in 2016 in French and held by 1 WorldCat member library worldwide

This thesis studies adaptive tests within learning environments. It falls within educational data mining and learning analytics, where student educational data is processed so as to optimize their learning.Computerized assessments allow us to store and analyze student data easily, in order to provide better tests for future learners. In this thesis, we focus on computerized adaptive testing. Such adaptive tests which can ask a question to the learner, analyze their answer on the fly, and choose the next question to ask accordingly. This process reduces the number of questions to ask to a learner while keeping an accurate measurement of their level. Adaptive tests are today massively used in practice, for example in the GMAT and GRE standardized tests, that are administered to hundreds of thousands of students. Traditionally, models used for adaptive assessment have been mostly summative : they measure or rank effectively examinees, but do not provide any other feedback. Recent advances have focused on formative assessments, that provide more useful feedback for both the learner and the teacher ; hence, they are more useful for improving student learning.In this thesis, we have reviewed adaptive testing models from various research communities. We have compared them qualitatively and quantitatively. Thus, we have proposed an experimental protocol that we have implemented in order to compare the most popular adaptive testing models, on real data. This led us to provide a hybrid model for adaptive cognitive diagnosis, better than existing models for formative assessment on all tried datasets. Finally, we have developed a strategy for asking several questions at the beginning of a test in order to measure the learner more accurately. This system can be applied to the automatic generation of worksheets, for example on a massive online open course (MOOC)
 
Audience Level
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Audience level: 0.78 (from 0.60 for Gao xiao s ... to 0.99 for Modèles d ...)

WorldCat IdentitiesRelated Identities
Competitive programming in Python : 128 algorithms to develop your coding skills
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Jill-Jênn Vie onderzoeker

Vie, Jill Jênn 1990-

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