Exploring Computer Science with Scheme

1998
ISBN: 978-0-387-94895-9
Verlag: Springer

Buch, Englisch, 582 Seiten, HC runder Rücken kaschiert, Format (B × H): 183 mm x 260 mm, Gewicht: 1346 g

Reihe: Undergraduate Texts in Computer Science

The aim of this textbook is to present the central and basic concepts, techniques, and tools of computer science. The emphasis is on presenting a problem-solving approach and on providing a survey of all of the most important topics covered in computer science degree programmes. Scheme is used throughout as the programming language and the author stresses a functional programming approach which concentrates on the creation of simple functions that are composed to obtain the desired programming goal. Such simple functions are easily tested individually. This greatly helps in producing programs that work right first time. Throughout, the author presents techniques to aid in the writing of programs and makes liberal use of boxes which present "Mistakes to Avoid." Many programming examples are discussed in detail which illustrate general approaches to programming. These include: * abstracting a problem; * creating pseudo code as an intermediate solution; * top-down and bottom-up design; * building procedural and data abstractions; * writing progams in modules which are easily testable. Numerous exercises help the readers test their understanding of the material and develop some ideas in greater depth. As a result this text will make an ideal first course for all students coming to computer science for the first time.

Zielgruppe

Lower undergraduate

Autoren/Hrsg.

Grillmeyer, Oliver

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

1 Introduction to Computer Science.- 2 Problem Solving and Problem Abstraction.- 3 Programming the Computer.- 4 Lists: The Basic Data Structure.- 5 Conditionals.- 6 Repetition Through Recursion.- 7 Data Structures.- 8 Functionals.- 9 Input and Output.- 10 Repetition Through Iteration.- 11 Advanced Uses of Functions.- 12 Database Management Systems.- 13 Compilers and Interpreters.- 14 Operating Systems.- 15 Artificial Intelligence.- 16 Soft Computing: Fuzzy Logic, Neural Networks, and Genetic Algorithms.- Colophon.