This text emphasizes the physical interpretation of mathematical solutions and introduces applied mathematics while presenting differential equations. Coverage includes Fourier series, orthogonal functions, boundary value problems, Green’s functions, and transform methods. This text is ideal for students in science, engineering, and applied mathematics.

For upper-level to graduate courses in Probability or Probability and Statistics, for majors in mathematics, statistics, engineering, and the sciences. Explores both the mathematics and the many potential applications of probability theory A First Course in Probability offers an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences. Through clear and intuitive explanations, it attempts to present not only the mathematics of...

Self-contained treatment of all the mathematics needed by undergraduate and masters-level students of economics starting from a very low level. Topics covered include calculus, matrix algebra, probability, dynamics and static and dynamic optimisation, all illustrated by examples and problems from central areas of modern economics. -- .

Taalman and Kohn's refreshing new textbook is designed to help instructors do just that.Taalman and Kohn's Calculus offers a streamlined, structured exposition of calculus that combines the clarity of classic textbooks with a modern perspective on concepts, skills, applications, and theory.

Through examples and analogies, Computational Thinking for the Modern Problem Solver introduces computational thinking as part of an introductory computing course and shows how computer science concepts are applicable to other fields. It keeps the material accessible and relevant to noncomputer science majors. With numerous color figures, this classroom-tested book focuses on both foundational computer science concepts and engineering topics.

It covers abstraction, algorithms, logic, graph th...

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.

- Geschreven voor eerstejaarsstudenten in het hoger technisch onderwijs;

- voorzien van vele voorbeelden die de stof van context voorzien;

- volop oefenmogelijkheden.

Wiskunde, de basis 1 vergroot het wiskundig inzicht van studenten in de propedeusefase van een technische ho-opleiding en voorziet hen van een degelijke wiskundebasis. Het boek bevat van vele opgaven om de theorie te toetsen en voorbeelden die de stof van context voorzien.

Wiskunde, de basis 1 heeft als uitgangspunt dat de opga...

- Noodzakelijke verdieping van de wiskundige basiskennis;

- accent op praktische toepassingen;

- inclusief apart uitwerkingenboek dat zelfstudie mogelijk maakt.

De serie Wiskunde voor het Hoger Onderwijs is al jarenlang dé wiskundemethode bij uitstek voor met name technische hbo-studies. Deel A sluit aan bij het eerste studiejaar, Deel B biedt de noodzakelijke wiskundige verdieping en toepassing voor de hoofdfase van de opleiding.

Deel B geeft studenten o.a. inzicht in limieten, functies van...