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Learning that reflects the world we live in College & career readiness Empower your students to develop a love for learning and achieve their goals Get started Virtual Schools Empower students to reach their highest potential with full-time, flexible online learning solutions. ...
See MyLab in action Encourage your students to improve their academic writing through their own work Your students possess diverse writing skills, and identifying those who struggle with essay writing can be challenging - especially when you are teaching large cohorts. Discover the transformative way ...
It maintains its highly visual, non-technical survey and broad, up-to-date coverage of basic topics and principles in geology, oceanography, meteorology, and astronomy to foster student understanding of foundational Earth science principles.Frederick Lutgens...
Biological Science with MasteringBiology:International Edition Package Components: *Biological Science, Fourth Edition*MasteringBiology(R) with Pearson eText Student Access KitScott FreemanPearson Schweiz Ag S Freeman - 《Pearson Schweiz Ag》 被引量: 0发表: 2008年 Physical Chemistry:Principles and Applica...
Third Edition. Pearson Education, Inc., ... EB Saff - 《Pearson Schweiz Ag》 被引量: 76发表: 2003年 Fundamentals of Complex Analysis with Applications to Engineering, Science, and Mathematics, 3/E Saff E B,Snider A D.Fundamentals of complex analysis with applications to engineering and ...
G. Armstrong, P. Kotler, M. Harker, y R. Brennan Marketing: An introduction (1st European edition) PearsonAuthor links open overlay panelJesús J. Cambra FierroShow more Add to Mendeley Share Cite https://doi.org/10.1016/S1138-5758(10)70014-1Get rights and content...
"Environment: The Science Behind the Stories" is an introductory textbook that uses case studies and real data to demonstrate the role of science in identifying and solving pressing environmental problems. The book integrates case studies into the body of the text to provide a contextual framework ...
本文分别采用灰色关联度与Pearson相关系数方法,分析运动员的训练项目对专项成绩的影响.首先给出两种方法的算法步骤及其数据的预处理,其次计算不同的训练项目对专项的关联度,最后对所得到关联值进行分析,对算例的分析结果表明,两种方法中联度较高的十项中有九项相同,其结果极其接近.结论为灰色关联度...