Building Blocks for Theoretical Computer Science (Version 1.3)

This book teaches you how to read and write mathematical proofs. It also gives a brief introduction to some key topics in theoretical computer science: algorithm analysis and complexity, automata theory, and computability.

**Tag(s):**
Proofs
Theory of Computation

**Publication date**: 01 Jan 2013

**ISBN-10**:
n/a

**ISBN-13**:
n/a

**Paperback**:
271 pages

**Views**: 2,840

**Type**: N/A

**Publisher**:
n/a

**License**:
n/a

**Post time**: 10 May 2016 11:00:00

Building Blocks for Theoretical Computer Science (Version 1.3)

This book teaches you how to read and write mathematical proofs. It also gives a brief introduction to some key topics in theoretical computer science: algorithm analysis and complexity, automata theory, and computability.

From the Preface:

Margaret M. Fleck wrote:This book teaches two different sorts of things, woven together. It teaches you how to read and write mathematical proofs. It provides a survey of basic mathematical objects, notation, and techniques which will be useful in later computer science courses. These include propositional and predicate logic, sets, functions, relations, modular arithmetic, counting, graphs, and trees. And, finally, it gives a brief introduction to some key topics in theoretical computer science: algorithm analysis and complexity, automata theory, and computability.

Tweet

About The Author(s)

Margaret M. Fleck is a Research Associate Professor in the Department of Computer Science, University of Illinois, Urbana-Champaign. Her research interests include computational linguistics, computer vision, and programming language tools to support language and vision research. Right now, she's working on unsupervised algorithms that learn word boundaries from transcribed speech.

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