Author: Yao Mengchen
Publisher:
Publish Date: 2004-04-01
Features: This series of textbooks is designed for the foundational mathematics courses in economics and management disciplines at universities and colleges. It has been developed in accordance with the overall goals of the reform of teaching content and curriculum systems for higher education in the 21st century, referencing the self-study examination syllabus issued by the Ministry of Education, and incorporating the authors' extensive teaching experience. The content covers all the requirements outlined in the Ministry of Education's self-study examination syllabi for Higher Mathematics (I) and Higher Mathematics (II) for economics and management majors. Considering the varying demands of different academic programs for foundational mathematics, the authors have carefully selected content that emphasizes scientific rigor and systematic organization, with appropriate depth and breadth while avoiding extensive theoretical derivations. Instead, the focus is on the application of relevant theories and methods, helping readers understand or master key concepts, theories, and methods in higher mathematics, along with their practical contexts. This enables readers to learn how to use mathematical methods to analyze, describe, and quantitatively solve practical problems in economics and management disciplines. This book serves as the main textbook for "Higher Mathematics (II) (Linear Algebra, Probability and Statistics)" and includes topics such as determinants, matrices, systems of linear equations, random events and their probabilities, random variables and their distributions, and an introduction to mathematical statistics. Each chapter is accompanied by a selection of exercises for both instructors and students to use. This book can be used as a foundational mathematics textbook for economics and management majors in general universities and colleges, as the main textbook for the "Higher Mathematics (II) (Linear Algebra, Probability and Statistics)" course in self-study examinations, and as a teaching resource for higher-demand humanities and social science programs.
Advanced Mathematics 2, Linear Algebra, Probability and Statistics
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