Titlebook: MATLAB for Engineering and the Life Sciences; Joseph V. Tranquillo Book 2011 Springer Nature Switzerland AG 2011

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書目名稱MATLAB for Engineering and the Life Sciences影響因子(影響力)




書目名稱MATLAB for Engineering and the Life Sciences影響因子(影響力)學(xué)科排名




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書目名稱MATLAB for Engineering and the Life Sciences網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱MATLAB for Engineering and the Life Sciences被引頻次




書目名稱MATLAB for Engineering and the Life Sciences被引頻次學(xué)科排名




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書目名稱MATLAB for Engineering and the Life Sciences年度引用學(xué)科排名




書目名稱MATLAB for Engineering and the Life Sciences讀者反饋




書目名稱MATLAB for Engineering and the Life Sciences讀者反饋學(xué)科排名

Robust

Joseph V. Tranquillof digital culture. In both sites for advanced learning, cooperative team projects provide a way for stakeholders to exchange knowledge and become enabled by new technologies. Professional development provides advanced teacher knowledge on learning, motivation and engagement in problem-based learning

Asymptomatic

Joseph V. Tranquillothe promises of instant access to information made by the search engines themselves, the process still requires human cognition. Many studies of searching behaviour have been made and are summarised along with a report of current research on group interviews with 10 year-old school children. Attitud

hypertension

膽大

Joseph V. Tranquillones and elaborates a comprehensive model of learning in work.This book explores and progresses the concept of negotiation as a means of describing and explaining individuals’ learning in work. It challenges the undertheorised and generic use of the concept in contemporary work-learning research wher

inflate

面包屑

flamboyant

Joseph V. Tranquillopromote learning. The current study reviews the empirical basis of this assumption by examining literature published from 2008 to 2017 which employed technology-enhanced embodied learning environments in K-12 education. Overall, 41 journal articles were included in the review study; these were index

圍巾

Joseph V. Tranquillo of the relationship between a pair of variables, and the debilitating information deficiency that sometimes plagues such ambition—in the form of the lack of training data that is a requisite for the sought supervised learning. Multiple examples of such problems are presented, from across discipline

B-cell