How To Think Like A Computer Scientist: C++ Version

Guidelines to problem-solving as the most important skill for a computer scientist.

**Publication date**: 01 Nov 2012

**ISBN-10**:
1441419055

**ISBN-13**:
9781441419057

**Paperback**:
192 pages

**Views**: 67,467

**Type**: N/A

**Publisher**:
CreateSpace Independent Publishing Platform

**License**:
Creative Commons Attribution-NonCommercial 3.0 Unported

**Post time**: 24 Oct 2004 04:19:25

How To Think Like A Computer Scientist: C++ Version

Guidelines to problem-solving as the most important skill for a computer scientist.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

Click**here** to read the full license.

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

Click

Book excerpts:

Allen B. Downey, professor of Computer Science at Wellesley College, originally wrote How to Think Like a Computer Scientist, the JavaTM Version, as a textbook for his computer science class. Over the summer of 1998, he converted the original Java version into C++. Since then, the Java version has undergone several major changes, including the addition of Abstract Data Types such as Stacks, Queues, and Heaps. The C++ version of the open textbook however, did not receive these changes, until Jonah Cohen, Paul Bui and Charles Harrison came along.

Like the original Java version, the C++ version's goal is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions.

The single most important skill for a computer scientist is problem-solving. That is, the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills.

Allen B. Downey, professor of Computer Science at Wellesley College, originally wrote How to Think Like a Computer Scientist, the JavaTM Version, as a textbook for his computer science class. Over the summer of 1998, he converted the original Java version into C++. Since then, the Java version has undergone several major changes, including the addition of Abstract Data Types such as Stacks, Queues, and Heaps. The C++ version of the open textbook however, did not receive these changes, until Jonah Cohen, Paul Bui and Charles Harrison came along.

Like the original Java version, the C++ version's goal is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions.

The single most important skill for a computer scientist is problem-solving. That is, the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills.

Tweet

About The Author(s)

Allen B. Downey (born May 11, 1967) is an American computer scientist, Professor of Computer Science at the Franklin W. Olin College of Engineering and writer of free textbooks. Downey received in 1989 his BS and in 1990 his MA, both in Civil Engineering from the Massachusetts Institute of Technology, and his PhD in Computer Science from the University of California at Berkeley in 1997.

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Microsoft .NET
Rexx
Perl
PHP
Python
R
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors